diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..c8784492b46448577423e6601aefc5e56c79730f --- /dev/null +++ b/.gitattributes @@ -0,0 +1,37 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +audioClassification/yamnet/tf/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text +clip/siglip2/onnx/camstack-siglip2-b16-224-tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..274c8535c864fe01bdce7f59cf78abbfa542c5d4 --- /dev/null +++ b/LICENSE @@ -0,0 +1,18 @@ +camstack/camstack-models is a collection. It has no single licence. + +Each folder // is governed by the licence stated in its +README.md and in the table of the root README.md. The full texts are in +LICENSES/. Converting, quantising, fine-tuning or re-exporting a model does not +change its licence. Nothing in this repository is offered under terms broader +than its upstream's. + +Folders whose weights are AGPL-3.0 (Ultralytics) are distributed under +AGPL-3.0; see LICENSES/AGPL-3.0.txt. Their Corresponding Source is set out in +THIRD_PARTY_MODELS.md, section "Source offer for the AGPL-3.0 weights". + +Some folders are licensed for non-commercial or research use only; the root +README.md lists them under "Non-commercial models". + +This file, README.md and the folder README.md cards are maintained in the +CamStack source repository (hf/camstack-models/). LICENSES/ is a copy of its +licenses/models/, and THIRD_PARTY_MODELS.md a copy of its root notice. diff --git a/LICENSES/AGPL-3.0.txt b/LICENSES/AGPL-3.0.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4beffaf273b6afc81c5422f18d4c7d949f889f8 --- /dev/null +++ b/LICENSES/AGPL-3.0.txt @@ -0,0 +1,666 @@ +Source: https://www.gnu.org/licenses/agpl-3.0.txt +Fetched: 2026-09-26 (verbatim below the line; nothing edited) +Applies to: Ultralytics weights: objectDetection/yolo26, objectDetection/yolov9, segmentation/yolo26-seg, plateDetection/yolov8-plate +Note: byte-identical to https://raw.githubusercontent.com/ultralytics/ultralytics/main/LICENSE, fetched the same day. +-------------------------------------------------------------------------------- + GNU AFFERO GENERAL PUBLIC LICENSE + Version 3, 19 November 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU Affero General Public License is a free, copyleft license for +software and other kinds of works, specifically designed to ensure +cooperation with the community in the case of network server software. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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But first, please read +. diff --git a/LICENSES/Llama-3.2-Community.txt b/LICENSES/Llama-3.2-Community.txt new file mode 100644 index 0000000000000000000000000000000000000000..52b157c338496af94509fd2df9e79a7c9efdb5d2 --- /dev/null +++ b/LICENSES/Llama-3.2-Community.txt @@ -0,0 +1,75 @@ +Source: https://raw.githubusercontent.com/meta-llama/llama-models/main/models/llama3_2/LICENSE +Fetched: 2026-09-26 (verbatim below the line; nothing edited) +Applies to: Llama 3.2 3B Instruct (catalog id llm-llama3.2-3b-instruct-q4), downloaded by the AI addon directly from https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF; CamStack does not host it +Note: Section 1.b.i asks anyone who makes a product containing Llama Materials available to provide a copy of this Agreement and to display "Built with Llama". Acceptable Use Policy: https://www.llama.com/llama3_2/use-policy +-------------------------------------------------------------------------------- +LLAMA 3.2 COMMUNITY LICENSE AGREEMENT + +Llama 3.2 Version Release Date: September 25, 2024 + +“Agreement” means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. + + +“Documentation” means the specifications, manuals and documentation accompanying Llama 3.2 distributed by Meta at https://www.llama.com/docs/overview. + + +“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. + + +“Llama 3.2” means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://www.llama.com/llama-downloads. + + +“Llama Materials” means, collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion thereof) made available under this Agreement. + + +“Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. 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If you distribute or make available the Llama Materials (or any derivative works thereof), or a product or service (including another AI model) that contains any of them, you shall (A) provide a copy of this Agreement with any such Llama Materials; and (B) prominently display “Built with Llama” on a related website, user interface, blogpost, about page, or product documentation. If you use the Llama Materials or any outputs or results of the Llama Materials to create, train, fine tune, or otherwise improve an AI model, which is distributed or made available, you shall also include “Llama” at the beginning of any such AI model name. + + + ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part of an integrated end user product, then Section 2 of this Agreement will not apply to you. + + + iii. 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If, on the Llama 3.2 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights. + + +3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. 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No trademark licenses are granted under this Agreement, and in connection with the Llama Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you a license to use “Llama” (the “Mark”) solely as required to comply with the last sentence of Section 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at https://about.meta.com/brand/resources/meta/company-brand/). All goodwill arising out of your use of the Mark will inure to the benefit of Meta. + + + b. 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The term of this Agreement will commence upon your acceptance of this Agreement or access to the Llama Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement. + + +7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement. diff --git a/LICENSES/MIT-fast-plate-ocr.txt b/LICENSES/MIT-fast-plate-ocr.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d57d19f430012e6823b7f53b172b941ec869a66 --- /dev/null +++ b/LICENSES/MIT-fast-plate-ocr.txt @@ -0,0 +1,26 @@ +Source: https://raw.githubusercontent.com/ankandrew/fast-plate-ocr/master/LICENSE +Fetched: 2026-09-26 (verbatim below the line; nothing edited) +Applies to: plateRecognition/cct-s-v2-global (catalog id cct-s-v2-global) and plateRecognition/fast-plate-ocr +Note: MIT requires this copyright line to travel with the redistributed files. The plan cited .../main/LICENSE, which 404s; the default branch is master. +-------------------------------------------------------------------------------- +MIT License + +Copyright (c) 2024 ankandrew + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/LICENSES/MIT-yunet-reference.txt b/LICENSES/MIT-yunet-reference.txt new file mode 100644 index 0000000000000000000000000000000000000000..435681b76189edadab2546dcc1db2a45e5f991aa --- /dev/null +++ b/LICENSES/MIT-yunet-reference.txt @@ -0,0 +1,25 @@ +Source: https://raw.githubusercontent.com/opencv/opencv_zoo/main/models/face_detection_yunet/LICENSE +Fetched: 2026-09-26 (verbatim below the line; nothing edited) +Applies to: faceDetection/yunet (catalog id yunet-2023mar), OpenCV Zoo's YuNet face detector, the operator-chosen SCRFD replacement. Training data: WIDER FACE, whose images are CC BY-NC-ND. +-------------------------------------------------------------------------------- +MIT License + +Copyright (c) 2020 Shiqi Yu + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2ed2c9f366cb2690fd54a62fb2c72186ae7837f8 --- /dev/null +++ b/README.md @@ -0,0 +1,95 @@ +--- +license: other +license_name: camstack-models-collection +license_link: LICENSE +tags: + - onnx + - openvino + - coreml + - object-detection + - image-classification + - feature-extraction +library_name: onnx +--- + + + +# CamStack model mirror + +This repository is a **mirror of third-party models** converted by +[CamStack](https://camstack-docs.zentik.app) into the formats its inference +engines run (ONNX, OpenVINO IR, CoreML, TFLite). **Nothing here is relicensed.** +Each folder stays under the licence of the model it was made from, stated in the +folder's `README.md` and in the table below, with the full text in +[`LICENSES/`](LICENSES). The repository as a whole has no single licence; see +[`LICENSE`](LICENSE). + +Every model file here is a *modified* version of its upstream: at minimum +converted to another format; where the folder card says so, re-exported at a +smaller input size, quantised (OpenVINO NNCF INT8), fine-tuned, or with a graph +edit. + +[`THIRD_PARTY_MODELS.md`](THIRD_PARTY_MODELS.md) is the notice CamStack ships +with its software. It covers every model CamStack can download, including those +fetched from other repositories, with the attributions each licence requires. + +## AGPL-3.0 models (Ultralytics) + +`objectDetection/yolo26`, `objectDetection/yolov9`, `segmentation/yolo26-seg`, +and `plateDetection/yolov8-plate` hold +Ultralytics weights under **AGPL-3.0** ([`LICENSES/AGPL-3.0.txt`](LICENSES/AGPL-3.0.txt)). +Their Corresponding Source is set out in +[Source offer for the AGPL-3.0 weights](THIRD_PARTY_MODELS.md#source-offer-for-the-agpl-30-weights). + +## Non-commercial models + +This **may not be used commercially**. See the folder's card. + +- `vehicleClassification/vehicle-type-v1`: trained on a CC BY-NC 4.0 dataset + ([`LICENSES/CC-BY-NC-4.0.txt`](LICENSES/CC-BY-NC-4.0.txt)). + +## Required attributions + +- **Ultralytics YOLO26, YOLOv9, YOLOv8**: © Ultralytics, AGPL-3.0. YOLOv9 + architecture: Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, GPL-3.0. +- **fast-plate-ocr**: Copyright (c) 2024 ankandrew, MIT. +- **Open Images V7** (animal-classifier training data): annotations © Google + LLC, CC BY 4.0. +- **Vehicle classification dataset** (vehicle-type-v1 training data): DrBimmer, + https://huggingface.co/datasets/DrBimmer/vehicle-classification, CC BY-NC 4.0. +- **AudioSet** (YAMNet labels): © Google LLC, CC BY 4.0. +- **COCO** (YOLO pretraining): annotations CC BY 4.0. +- Apache-2.0 upstreams: RF-DETR (Roboflow), AuraFace v1 (fal.ai), U²-Net + (Xuebin Qin et al.), YAMNet and AIY Vision Birds V1 (Google LLC), + EfficientNet-Lite0 via timm (Ross Wightman). + +## Models + +"Unknown" means no licence could be traced; it does not mean free to use. +*default* marks the model a CamStack step runs when nobody chose one; *hidden* +marks an entry kept resolvable for a saved selection but no longer offered. + + +| Folder | Catalog ids | Upstream | Weights licence | Licence text | CamStack modifications | +| --- | --- | --- | --- | --- | --- | +| `objectDetection/yolo26` | `yolo26n` (default), `yolo26s`, `yolo26m`, `yolo26l`, `yolo26x` (hidden), `yolo26n-fp16` (hidden), `yolo26n-int8`, `yolo26s-fp16` (hidden), `yolo26s-int8`, `yolo26m-fp16` (hidden), `yolo26m-int8`, `yolo26l-fp16` (hidden), `yolo26l-int8`, `yolo26n-320`, `yolo26n-320-int8`, `yolo26n-256`, `yolo26n-256-int8`, `yolo26s-320`, `yolo26s-320-int8`, `yolo26s-256`, `yolo26s-256-int8`, `yolo26m-320`, `yolo26m-320-int8`, `yolo26m-256`, `yolo26m-256-int8`, `yolo26l-320`, `yolo26l-320-int8`, `yolo26l-256`, `yolo26l-256-int8`, `yolo26x-fp16` (hidden), `yolo26x-int8` (hidden) | Ultralytics | AGPL-3.0 | [`AGPL-3.0.txt`](LICENSES/AGPL-3.0.txt) | exported to ONNX, OpenVINO IR and CoreML (scripts/build-camstack-models.py); OpenVINO FP16 export; exported to OpenVINO IR, then OpenVINO NNCF INT8 post-training quantisation; re-exported at 320×320 to ONNX, OpenVINO IR and CoreML; re-exported at 320×320 to OpenVINO IR; OpenVINO NNCF INT8 post-training quantisation; re-exported at 256×256 to ONNX, OpenVINO IR and CoreML; re-exported at 256×256 to OpenVINO IR; OpenVINO NNCF INT8 post-training quantisation | +| `objectDetection/yolov9` | `yolov9t-320`, `yolov9t-320-int8`, `yolov9t-640`, `yolov9t-640-int8`, `yolov9s-320`, `yolov9s-320-int8`, `yolov9s-640`, `yolov9s-640-int8`, `yolov9m-320`, `yolov9m-320-int8`, `yolov9m-640`, `yolov9m-640-int8`, `yolov9c-320`, `yolov9c-320-int8`, `yolov9c-640`, `yolov9c-640-int8` | Ultralytics | AGPL-3.0 | [`AGPL-3.0.txt`](LICENSES/AGPL-3.0.txt) | exported at 320×320 to ONNX, OpenVINO IR FP16 and CoreML; exported at 320×320 to OpenVINO IR; OpenVINO NNCF INT8 post-training quantisation; exported at 640×640 to ONNX, OpenVINO IR FP16 and CoreML; exported at 640×640 to OpenVINO IR; OpenVINO NNCF INT8 post-training quantisation | +| `packageDetection/rfdetr-package` | `rfdetr-package` (default) | Roboflow RF-DETR | Apache-2.0 | [`Apache-2.0.txt`](LICENSES/Apache-2.0.txt) | RF-DETR-M fine-tuned to 2 classes at 576; exported to ONNX, OpenVINO IR and CoreML; training checkpoint .pth also published | +| `faceDetection/yunet` | `yunet-2023mar` (default) | OpenCV Zoo YuNet | MIT | [`MIT-yunet-reference.txt`](LICENSES/MIT-yunet-reference.txt), [`BSD-3-Clause.txt`](LICENSES/BSD-3-Clause.txt) | input contract baked into the graph (the pool RGB /255 becomes the upstream BGR 0..255: Mul(255) plus a channel Gather); internal tensor names cleared in the OpenVINO IR; ONNX fp32, OpenVINO IR fp32, CoreML fp16 (scripts/build-yunet-model.py) | +| `faceRecognition/auraface` | `auraface-r100` (default) | fal.ai AuraFace v1 (glintr100.onnx only) | Apache-2.0 | [`Apache-2.0.txt`](LICENSES/Apache-2.0.txt) | input scaling y = 2x - 1 baked ahead of the first Conv (scripts/build-auraface-model.py); converted to OpenVINO IR and CoreML FP16 | +| `plateDetection/yolov8-plate` | `yolov8n-plate` (default) | Ultralytics | AGPL-3.0 | [`AGPL-3.0.txt`](LICENSES/AGPL-3.0.txt) | converted to OpenVINO IR and CoreML | +| `plateRecognition/cct-s-v2-global` | `cct-s-v2-global` (default) | ankandrew/fast-plate-ocr | MIT | [`MIT-fast-plate-ocr.txt`](LICENSES/MIT-fast-plate-ocr.txt) | input head removed (recorded in the ONNX doc_string); converted to OpenVINO IR and CoreML | +| `animalClassification/animal-classifier` | `animal-classifier` (default) | timm EfficientNet-Lite0, fine-tuned by CamStack | Apache-2.0 | [`Apache-2.0.txt`](LICENSES/Apache-2.0.txt) | fine-tuned by CamStack on the Open Images V7 animal subset (8 classes); exported to ONNX, OpenVINO IR and CoreML | +| `animalClassification/bird-classifier` | `bird-classifier` (default) | Google AIY Vision birds_V1 | Apache-2.0 | [`Apache-2.0.txt`](LICENSES/Apache-2.0.txt) | converted from TensorFlow with tf2onnx; OpenVINO IR and CoreML derived from it | +| `vehicleClassification/vehicle-type-v1` | `vehicle-type-v1` (default) | torchvision MobileNetV3-Large, fine-tuned by CamStack | **CC-BY-NC-4.0** | [`CC-BY-NC-4.0.txt`](LICENSES/CC-BY-NC-4.0.txt), [`BSD-3-Clause.txt`](LICENSES/BSD-3-Clause.txt) | fine-tuned by CamStack (8 classes); exported to ONNX, OpenVINO IR and CoreML | +| `clip/siglip2` | `siglip2-b16-224` (default), `siglip2-b16-224-text` | Google SigLIP 2 (google/siglip2-base-patch16-224) | Apache-2.0 | [`Apache-2.0.txt`](LICENSES/Apache-2.0.txt) | input scaling y = 2x - 1 baked ahead of the patch embedding; converted to OpenVINO IR and CoreML FP16, an FP32 ONNX hosted as the verification reference (scripts/build-siglip2-model.py); input sliced to the model's 64 positions in the graph; ONNX weights FP16, OpenVINO IR and CoreML FP16; a Lowercase normalizer prepended to the Gemma tokenizer (scripts/build-siglip2-model.py) | +| `segmentationRefiner/u2netp` | `u2netp` (default) | xuebinqin/U-2-Net | Apache-2.0 | [`Apache-2.0.txt`](LICENSES/Apache-2.0.txt) | converted to ONNX, OpenVINO IR and CoreML | +| `segmentation/yolo26-seg` | `yolo26n-seg`, `yolo26s-seg`, `yolo26m-seg` | Ultralytics | AGPL-3.0 | [`AGPL-3.0.txt`](LICENSES/AGPL-3.0.txt) | exported to ONNX, OpenVINO IR and CoreML | +| `audioClassification/yamnet` | `yamnet-onnx` (default) | tensorflow/models research/audioset/yamnet | Apache-2.0 | [`Apache-2.0.txt`](LICENSES/Apache-2.0.txt) | converted from TensorFlow with tf2onnx; OpenVINO IR derived from it | + + +This mirror holds only the models CamStack offers. Models it no longer offers +(SCRFD, ArcFace, Inception-ResNet, VGG-English, MobileCLIP S1/S2, +YOLOv8n-package, SSDLite MobileDet, and earlier the Scrypted face, PaddleOCR, +animals-10, NABirds and EfficientNet folders) were removed, and the repository +history was squashed on 2026-10-06. diff --git a/THIRD_PARTY_MODELS.md b/THIRD_PARTY_MODELS.md new file mode 100644 index 0000000000000000000000000000000000000000..9e4aa5e5ee48b4b4c22f123cb303a44487269183 --- /dev/null +++ b/THIRD_PARTY_MODELS.md @@ -0,0 +1,222 @@ + + +# Third-party models + +CamStack's own source code is MIT-licensed (see `LICENSE`). CamStack does not +include model weights in its npm packages or its Docker image. It downloads +them, on demand, from the locations listed below. **Each model stays under its +own licence.** Converting a model to another format does not change its +licence: every CamStack-made build is a modified version (a "model derivative") +of the upstream weights, and the change is stated per model. + +Full licence texts: `licenses/models/` in the CamStack source repository, and +[`LICENSES/`](https://huggingface.co/camstack/camstack-models/tree/main/LICENSES) +in the model mirror https://huggingface.co/camstack/camstack-models. + +Some of these models are **not licensed for commercial use**. They are listed +under [Non-commercial models](#non-commercial-models). + +## Required attributions + +- © Ultralytics, AGPL-3.0. Corresponding source: the upstream Ultralytics checkpoint and build-camstack-models.py (with convert_lib.py) published at https://huggingface.co/camstack/camstack-models/tree/main/source. https://github.com/ultralytics/ultralytics +- Coral Edge TPU models and AIY Vision Birds V1 © Google LLC, Apache-2.0. https://github.com/google-coral/test_data +- © Ultralytics, AGPL-3.0 (Ultralytics YOLOv9 weights). YOLOv9 architecture: Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, GPL-3.0 (https://github.com/WongKinYiu/yolov9). Corresponding source: the upstream Ultralytics checkpoint and build-camstack-models.py (with convert_lib.py) published at https://huggingface.co/camstack/camstack-models/tree/main/source. https://github.com/ultralytics/ultralytics +- RF-DETR © Roboflow, Apache-2.0. https://github.com/roboflow/rf-detr +- YuNet weights Copyright (c) 2020 Shiqi Yu, MIT. Training code: ShiqiYu/libfacedetection.train, BSD-3-Clause. https://github.com/opencv/opencv_zoo/tree/main/models/face_detection_yunet +- AuraFace v1 by fal.ai, Apache-2.0. https://huggingface.co/fal/AuraFace-v1 +- © Ultralytics, AGPL-3.0 (YOLOv8n base, fine-tuned for plates by an unidentified third party). CamStack holds no training checkpoint; the ONNX file is the only form it has. https://github.com/ultralytics/ultralytics +- fast-plate-ocr, MIT License, copyright (c) 2024 ankandrew (full notice: licenses/models/MIT-fast-plate-ocr.txt). https://github.com/ankandrew/fast-plate-ocr +- EfficientNet-Lite0 via timm (Ross Wightman), Apache-2.0. Open Images V7 annotations © Google LLC, CC BY 4.0; images listed by Google as CC BY 2.0, without warranty. https://github.com/huggingface/pytorch-image-models +- torchvision MobileNetV3, BSD-3-Clause. Trained on the Vehicle classification dataset by DrBimmer (https://huggingface.co/datasets/DrBimmer/vehicle-classification), CC BY-NC 4.0. https://github.com/pytorch/vision +- SigLIP 2 © Google LLC, Apache-2.0. https://huggingface.co/google/siglip2-base-patch16-224 +- U²-Net © Xuebin Qin et al., Apache-2.0. https://github.com/xuebinqin/U-2-Net +- YAMNet © Google LLC, Apache-2.0. AudioSet ontology and labels © Google LLC, CC BY 4.0. https://github.com/tensorflow/models/tree/master/research/audioset/yamnet +- Qwen models © Alibaba Cloud, Apache-2.0. https://huggingface.co/Qwen · https://huggingface.co/unsloth · https://huggingface.co/unsloth/Qwen3.6-35B-A3B-GGUF +- Built with Llama. Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF +- Scrypted YOLOv9 ReLU detectors, Koushik Dutta (scrypted/plugin-models, repository tagged MIT); trained with the YOLOv9 code of Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, GPL-3.0 (https://github.com/WongKinYiu/yolov9). https://huggingface.co/scrypted/plugin-models + +Training data under attribution terms: + +- **COCO 2017** (training data of `yolo26n` and 51 more): annotations CC-BY-4.0; images under their Flickr owners' terms. https://cocodataset.org/#termsofuse +- **WIDER FACE** (training data of `yunet-2023mar`): research-oriented terms; images CC BY-NC-ND. http://shuoyang1213.me/WIDERFACE/ +- **Open Images V7** (training data of `animal-classifier`): annotations CC-BY-4.0 (Google LLC); images listed as CC-BY-2.0, no warranty. https://storage.googleapis.com/openimages/web/factsfigures_v7.html +- **DrBimmer/vehicle-classification** (training data of `vehicle-type-v1`): CC-BY-NC-4.0 — treated as binding the trained weights (conservative reading). https://huggingface.co/datasets/DrBimmer/vehicle-classification +- **AudioSet ontology/labels** (training data of `yamnet-onnx`): CC-BY-4.0 (Google LLC). https://research.google.com/audioset/ + +## Source offer for the AGPL-3.0 weights + + + +The folders `objectDetection/yolo26`, `objectDetection/yolov9`, `plateDetection/yolov8-plate` and `segmentation/yolo26-seg` of the model mirror hold Ultralytics weights, +modified by CamStack and distributed under AGPL-3.0. Their Corresponding Source +is published in the mirror itself, in its **`source/`** folder, +**https://huggingface.co/camstack/camstack-models/tree/main/source**, together +with the upstream checkpoints it starts from: + +1. **The upstream checkpoints**, published by Ultralytics at + https://github.com/ultralytics/assets/releases: `yolo26{n,s,m,l,x}.pt`, + `yolov9{t,s,m,c}.pt`, `yolo26{n,s,m}-seg.pt`. +2. **The export scripts** in `source/`: `build-camstack-models.py` (ONNX + with a dynamic batch axis, CoreML FP16, OpenVINO IR, OpenVINO NNCF INT8), + `convert_lib.py` (the ONNX to OpenVINO / INT8 / CoreML converter it imports, + the same one CamStack's Model Studio runs), `requirements.txt` and + `export-models.py`. The build instructions (Python environment, + invocation, calibration images for INT8) are in `source/README.md` and in + each script's header. These scripts are CamStack's own code and are offered + under the MIT licence; the weights they produce keep their upstream licence. + +What the published scripts do **not** cover yet: + +- **Some hosted sizes and input resolutions.** The export scripts do not list + every variant in the mirror (for example the `-320`/`-256` YOLO26 exports, + `yolov9m`/`yolov9c`, and the `yolo26*-seg` models). Each one is the same + Ultralytics `export()` with a different model id or `imgsz`, but no + published script reproduces it as-is. +- **`yolov8n-plate` has no training checkpoint.** It is a third-party model + (trained 2023-12-05 according to its own metadata, origin not identified). + The ONNX file is the only form CamStack has. + +## Non-commercial models + +These are downloaded by default or selectable, and their terms **do not allow +commercial use**: + +| Model | Used for | Terms | +| --- | --- | --- | +| `vehicle-type-v1` (default) | Vehicle classifier | CC-BY-NC-4.0; training data: CC-BY-NC-4.0 — treated as binding the trained weights (conservative reading) ([terms](https://creativecommons.org/licenses/by-nc/4.0/)) | + +## Models + +"Mirror" means https://huggingface.co/camstack/camstack-models, folder given. +"Code / weights" gives the two licences separately because they often differ. +**Unknown** means no licence could be traced; it does not mean free to use. +*default* marks the model a step runs when nobody chose one; *hidden* marks an +entry kept resolvable for a saved selection but no longer offered. + +### Object detection + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `yolo26n` (default), `yolo26s`, `yolo26m`, `yolo26l`, `yolo26x` (hidden), `yolo26n-fp16` (hidden), `yolo26n-int8`, `yolo26s-fp16` (hidden), `yolo26s-int8`, `yolo26m-fp16` (hidden), `yolo26m-int8`, `yolo26l-fp16` (hidden), `yolo26l-int8`, `yolo26n-320`, `yolo26n-320-int8`, `yolo26n-256`, `yolo26n-256-int8`, `yolo26s-320`, `yolo26s-320-int8`, `yolo26s-256`, `yolo26s-256-int8`, `yolo26m-320`, `yolo26m-320-int8`, `yolo26m-256`, `yolo26m-256-int8`, `yolo26l-320`, `yolo26l-320-int8`, `yolo26l-256`, `yolo26l-256-int8`, `yolo26x-fp16` (hidden), `yolo26x-int8` (hidden) | [Ultralytics](https://github.com/ultralytics/ultralytics) | AGPL-3.0 / AGPL-3.0 (`AGPL-3.0.txt`) | COCO 2017: annotations CC-BY-4.0; images under their Flickr owners' terms | exported to ONNX, OpenVINO IR and CoreML (scripts/build-camstack-models.py); OpenVINO FP16 export; exported to OpenVINO IR, then OpenVINO NNCF INT8 post-training quantisation; re-exported at 320×320 to ONNX, OpenVINO IR and CoreML; re-exported at 320×320 to OpenVINO IR; OpenVINO NNCF INT8 post-training quantisation; re-exported at 256×256 to ONNX, OpenVINO IR and CoreML; re-exported at 256×256 to OpenVINO IR; OpenVINO NNCF INT8 post-training quantisation | mirror `objectDetection/yolo26` | +| `ssd-mobilenet-v2-coco-edgetpu` (default) | [Google Coral test_data](https://github.com/google-coral/test_data) | Apache-2.0 / Apache-2.0 (`Apache-2.0.txt`) | COCO 2017: annotations CC-BY-4.0; images under their Flickr owners' terms | none | https://github.com/google-coral/test_data | +| `yolov9t-320`, `yolov9t-320-int8`, `yolov9t-640`, `yolov9t-640-int8`, `yolov9s-320`, `yolov9s-320-int8`, `yolov9s-640`, `yolov9s-640-int8`, `yolov9m-320`, `yolov9m-320-int8`, `yolov9m-640`, `yolov9m-640-int8`, `yolov9c-320`, `yolov9c-320-int8`, `yolov9c-640`, `yolov9c-640-int8` | [Ultralytics](https://github.com/ultralytics/ultralytics) | AGPL-3.0 / AGPL-3.0 (`AGPL-3.0.txt`) | COCO 2017: annotations CC-BY-4.0; images under their Flickr owners' terms | exported at 320×320 to ONNX, OpenVINO IR FP16 and CoreML; exported at 320×320 to OpenVINO IR; OpenVINO NNCF INT8 post-training quantisation; exported at 640×640 to ONNX, OpenVINO IR FP16 and CoreML; exported at 640×640 to OpenVINO IR; OpenVINO NNCF INT8 post-training quantisation | mirror `objectDetection/yolov9` | + +### Package detection + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `rfdetr-package` (default) | [Roboflow RF-DETR](https://github.com/roboflow/rf-detr) | Apache-2.0 / Apache-2.0 (`Apache-2.0.txt`) | parcel fine-tuning set (not recorded): UNVERIFIED | RF-DETR-M fine-tuned to 2 classes at 576; exported to ONNX, OpenVINO IR and CoreML; training checkpoint .pth also published | mirror `packageDetection/rfdetr-package` | + +### Face detection + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `yunet-2023mar` (default) | [OpenCV Zoo YuNet](https://github.com/opencv/opencv_zoo/tree/main/models/face_detection_yunet) | BSD-3-Clause (`BSD-3-Clause.txt`) / MIT (`MIT-yunet-reference.txt`) | WIDER FACE: research-oriented terms; images CC BY-NC-ND | input contract baked into the graph (the pool RGB /255 becomes the upstream BGR 0..255: Mul(255) plus a channel Gather); internal tensor names cleared in the OpenVINO IR; ONNX fp32, OpenVINO IR fp32, CoreML fp16 (scripts/build-yunet-model.py) | mirror `faceDetection/yunet` | + +### Face recognition + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `auraface-r100` (default) | [fal.ai AuraFace v1 (glintr100.onnx only)](https://huggingface.co/fal/AuraFace-v1) | — / Apache-2.0 (`Apache-2.0.txt`) | — | input scaling y = 2x - 1 baked ahead of the first Conv (scripts/build-auraface-model.py); converted to OpenVINO IR and CoreML FP16 | mirror `faceRecognition/auraface` | + +### Licence plate detection + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `yolov8n-plate` (default) | [Ultralytics](https://github.com/ultralytics/ultralytics) | AGPL-3.0 / AGPL-3.0 (`AGPL-3.0.txt`) | unidentified plate dataset (third-party model, trained 2023-12-05 per its ONNX metadata): UNKNOWN | converted to OpenVINO IR and CoreML | mirror `plateDetection/yolov8-plate` | + +### Licence plate reading + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `cct-s-v2-global` (default) | [ankandrew/fast-plate-ocr](https://github.com/ankandrew/fast-plate-ocr) | MIT / MIT (`MIT-fast-plate-ocr.txt`) | fast-plate-ocr training set: private, not released upstream | input head removed (recorded in the ONNX doc_string); converted to OpenVINO IR and CoreML | mirror `plateRecognition/cct-s-v2-global` | + +### Animal classifier + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `animal-classifier` (default) | [timm EfficientNet-Lite0, fine-tuned by CamStack](https://github.com/huggingface/pytorch-image-models) | Apache-2.0 / Apache-2.0 (`Apache-2.0.txt`) | Open Images V7: annotations CC-BY-4.0 (Google LLC); images listed as CC-BY-2.0, no warranty | fine-tuned by CamStack on the Open Images V7 animal subset (8 classes); exported to ONNX, OpenVINO IR and CoreML | mirror `animalClassification/animal-classifier` | + +### Bird classifier + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `bird-classifier` (default) | [Google AIY Vision birds_V1](https://github.com/google-coral/test_data) | — / Apache-2.0 (`Apache-2.0.txt`) | — | converted from TensorFlow with tf2onnx; OpenVINO IR and CoreML derived from it | mirror `animalClassification/bird-classifier` | + +### Vehicle classifier + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `vehicle-type-v1` (default) | [torchvision MobileNetV3-Large, fine-tuned by CamStack](https://github.com/pytorch/vision) | BSD-3-Clause (`BSD-3-Clause.txt`) / **CC-BY-NC-4.0** (`CC-BY-NC-4.0.txt`) | DrBimmer/vehicle-classification: CC-BY-NC-4.0 — treated as binding the trained weights (conservative reading) | fine-tuned by CamStack (8 classes); exported to ONNX, OpenVINO IR and CoreML | mirror `vehicleClassification/vehicle-type-v1` | + +### Semantic search, image encoders (CLIP) + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `siglip2-b16-224` (default) | [Google SigLIP 2 (google/siglip2-base-patch16-224)](https://huggingface.co/google/siglip2-base-patch16-224) | Apache-2.0 / Apache-2.0 (`Apache-2.0.txt`) | WebLI: Google internal, not released | input scaling y = 2x - 1 baked ahead of the patch embedding; converted to OpenVINO IR and CoreML FP16, an FP32 ONNX hosted as the verification reference (scripts/build-siglip2-model.py) | mirror `clip/siglip2` | + +### Semantic search, text encoders (CLIP) + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `siglip2-b16-224-text` | [Google SigLIP 2 (google/siglip2-base-patch16-224)](https://huggingface.co/google/siglip2-base-patch16-224) | Apache-2.0 / Apache-2.0 (`Apache-2.0.txt`) | WebLI: Google internal, not released | input sliced to the model's 64 positions in the graph; ONNX weights FP16, OpenVINO IR and CoreML FP16; a Lowercase normalizer prepended to the Gemma tokenizer (scripts/build-siglip2-model.py) | mirror `clip/siglip2` | + +### Segmentation + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `u2netp` (default) | [xuebinqin/U-2-Net](https://github.com/xuebinqin/U-2-Net) | Apache-2.0 / Apache-2.0 (`Apache-2.0.txt`) | DUTS-TR: not checked | converted to ONNX, OpenVINO IR and CoreML | mirror `segmentationRefiner/u2netp` | + +### Instance segmentation (dormant step) + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `yolo26n-seg`, `yolo26s-seg`, `yolo26m-seg` | [Ultralytics](https://github.com/ultralytics/ultralytics) | AGPL-3.0 / AGPL-3.0 (`AGPL-3.0.txt`) | COCO 2017: annotations CC-BY-4.0; images under their Flickr owners' terms | exported to ONNX, OpenVINO IR and CoreML | mirror `segmentation/yolo26-seg` | + +### Audio + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `yamnet-onnx` (default) | [tensorflow/models research/audioset/yamnet](https://github.com/tensorflow/models/tree/master/research/audioset/yamnet) | Apache-2.0 / Apache-2.0 (`Apache-2.0.txt`) | AudioSet ontology/labels: CC-BY-4.0 (Google LLC) | converted from TensorFlow with tf2onnx; OpenVINO IR derived from it | mirror `audioClassification/yamnet` | +| `apple-soundanalysis` (default) | [Apple SoundAnalysis (macOS built-in)](https://developer.apple.com/documentation/soundanalysis) | — / LicenseRef-Apple-macOS | — | none | built in, nothing downloaded | + +### Language and vision-language models (AI addon) + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `llm-qwen2.5-1.5b-instruct-q4` | [Qwen (Alibaba Cloud)](https://huggingface.co/Qwen) | — / Apache-2.0 (`Apache-2.0.txt`) | — | none (GGUF Q4_K_M published by Qwen; not re-hosted by CamStack) | https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF | +| `llm-llama3.2-3b-instruct-q4` | [Meta Llama 3.2 (GGUF by bartowski)](https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF) | — / LicenseRef-Llama-3.2-Community (`Llama-3.2-Community.txt`) | — | Q4_K_M GGUF quantisation by bartowski (not re-hosted by CamStack) | https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF | +| `llm-qwen3-vl-2b-instruct-q4` | [Qwen3-VL (GGUF by unsloth)](https://huggingface.co/unsloth) | — / Apache-2.0 (`Apache-2.0.txt`) | — | Q4_K_M GGUF quantisation by unsloth (not re-hosted by CamStack) | https://huggingface.co/unsloth/Qwen3-VL-2B-Instruct-GGUF | +| `llm-qwen3-vl-4b-instruct-q4` | [Qwen3-VL (GGUF by unsloth)](https://huggingface.co/unsloth) | — / Apache-2.0 (`Apache-2.0.txt`) | — | Q4_K_M GGUF quantisation by unsloth (not re-hosted by CamStack) | https://huggingface.co/unsloth/Qwen3-VL-4B-Instruct-GGUF | +| `llm-qwen3-vl-8b-instruct-q4` | [Qwen3-VL (GGUF by unsloth)](https://huggingface.co/unsloth) | — / Apache-2.0 (`Apache-2.0.txt`) | — | Q4_K_M GGUF quantisation by unsloth (not re-hosted by CamStack) | https://huggingface.co/unsloth/Qwen3-VL-8B-Instruct-GGUF | +| `llm-qwen3.6-35b-a3b-ud-q4` | [Qwen3.6-35B-A3B (GGUF by unsloth)](https://huggingface.co/unsloth/Qwen3.6-35B-A3B-GGUF) | — / Apache-2.0 (`Apache-2.0.txt`) | — | UD-Q4_K_M GGUF quantisation by unsloth (not re-hosted by CamStack) | https://huggingface.co/unsloth/Qwen3.6-35B-A3B-GGUF | + +### Model Studio catalogs (object detection, imported on request) + +| Catalog ids | Upstream | Code / weights | Training data | CamStack changes | Downloaded from | +| --- | --- | --- | --- | --- | --- | +| `scrypted-yolov9t-relu-320`, `scrypted-yolov9t-relu_test-320`, `scrypted-yolov9s-relu-320`, `scrypted-yolov9s-relu_test-320`, `scrypted-yolov9m-relu-320`, `scrypted-yolov9m-relu_test-320`, `scrypted-yolov9c-relu-320`, `scrypted-yolov9c-relu_test-320`, `scrypted-yolov9t-relu-int8-320`, `scrypted-yolov9t-relu_test-int8-320`, `scrypted-yolov9s-relu-int8-320`, `scrypted-yolov9s-relu_test-int8-320`, `scrypted-yolov9m-relu-int8-320`, `scrypted-yolov9m-relu_test-int8-320`, `scrypted-yolov9c-relu-int8-320`, `scrypted-yolov9c-relu_test-int8-320` | [Scrypted plugin-models (repository tagged MIT, no per-model terms)](https://huggingface.co/scrypted/plugin-models) | GPL-3.0 (`GPL-3.0.txt`) / **Unknown** | not stated by Scrypted: UNKNOWN | none: downloaded as published, at a pinned revision | https://huggingface.co/scrypted/plugin-models | +| `frigate-mobiledet-edgetpu` | [Google Coral test_data](https://github.com/google-coral/test_data) | Apache-2.0 / Apache-2.0 (`Apache-2.0.txt`) | COCO 2017: annotations CC-BY-4.0; images under their Flickr owners' terms | none | https://github.com/google-coral/test_data | + +### Your own models + +The Scrypted and Frigate catalogs that Model Studio offers are listed above. A +model you upload or convert yourself, or pull from your own Frigate+ account, +keeps whatever licence its author published. CamStack does not change it and +does not record it. diff --git a/animalClassification/animal-classifier/README.md b/animalClassification/animal-classifier/README.md new file mode 100644 index 0000000000000000000000000000000000000000..21fcfddb6d5158cc405c62fce712b7c3444d53ce --- /dev/null +++ b/animalClassification/animal-classifier/README.md @@ -0,0 +1,16 @@ + + +# animalClassification/animal-classifier: EfficientNet-Lite0 animal classifier + +| | | +| --- | --- | +| Catalog id | `animal-classifier` (bird, cat, cow, deer, dog, horse, sheep, squirrel) | +| Upstream | timm EfficientNet-Lite0: https://github.com/huggingface/pytorch-image-models | +| Obtained from | fine-tuned by CamStack (2026-07-19) | +| Code licence | Apache-2.0 | +| **Weights licence** | Apache-2.0 ([`LICENSES/Apache-2.0.txt`](../../LICENSES/Apache-2.0.txt)) | +| Training data | Open Images V7 animal subset. Annotations © Google LLC, licensed under CC BY 4.0 ([`LICENSES/CC-BY-4.0.txt`](../../LICENSES/CC-BY-4.0.txt)); images listed by Google as CC BY 2.0, without warranty. https://storage.googleapis.com/openimages/web/factsfigures_v7.html | +| CamStack modifications | fine-tuned (8 classes); exported to ONNX, OpenVINO IR and CoreML | +| Commercial use | permitted (attribution to Open Images required) | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/animalClassification/animal-classifier/animal-classifier-labels.json b/animalClassification/animal-classifier/animal-classifier-labels.json new file mode 100644 index 0000000000000000000000000000000000000000..7dbdd8baa6d4b9b88f2e7c94b70a6b3f15687c7d --- /dev/null +++ b/animalClassification/animal-classifier/animal-classifier-labels.json @@ -0,0 +1,35 @@ +{ + "labels": [ + "bird", + "cat", + "cow", + "deer", + "dog", + "horse", + "sheep", + "squirrel" + ], + "input_size": 224, + "num_classes": 8, + "preprocess": { + "normalize": "imagenet", + "mean": [ + 0.485, + 0.456, + 0.406 + ], + "std": [ + 0.229, + 0.224, + 0.225 + ], + "channels": "RGB", + "layout": "NCHW" + }, + "arch": "efficientnet_lite0", + "source": "Open Images V7 animal subset (largest-box crops per image), 8 classes; timm ImageNet1K pretrained, full fine-tune", + "dataset": "Open Images V7 (Google)", + "license": "dataset: images CC-BY 2.0 + annotations CC-BY 4.0 (permissive, commercial + redistributable with attribution); weights: Apache-2.0 (timm backbone) \u2014 publicly distributable", + "output": "logits (apply softmax)", + "best_val_acc": 0.8925 +} \ No newline at end of file diff --git a/animalClassification/animal-classifier/coreml/animal-classifier-labels.json b/animalClassification/animal-classifier/coreml/animal-classifier-labels.json new file mode 100644 index 0000000000000000000000000000000000000000..7dbdd8baa6d4b9b88f2e7c94b70a6b3f15687c7d --- /dev/null +++ b/animalClassification/animal-classifier/coreml/animal-classifier-labels.json @@ -0,0 +1,35 @@ +{ + "labels": [ + "bird", + "cat", + "cow", + "deer", + "dog", + "horse", + "sheep", + "squirrel" + ], + "input_size": 224, + "num_classes": 8, + "preprocess": { + "normalize": "imagenet", + "mean": [ + 0.485, + 0.456, + 0.406 + ], + "std": [ + 0.229, + 0.224, + 0.225 + ], + "channels": "RGB", + "layout": "NCHW" + }, + "arch": "efficientnet_lite0", + "source": "Open Images V7 animal subset (largest-box crops per image), 8 classes; timm ImageNet1K pretrained, full fine-tune", + "dataset": "Open Images V7 (Google)", + "license": "dataset: images CC-BY 2.0 + annotations CC-BY 4.0 (permissive, commercial + redistributable with attribution); weights: Apache-2.0 (timm backbone) \u2014 publicly distributable", + "output": "logits (apply softmax)", + "best_val_acc": 0.8925 +} \ No newline at end of file diff --git a/animalClassification/animal-classifier/coreml/animal-classifier.mlpackage/Data/com.apple.CoreML/model.mlmodel b/animalClassification/animal-classifier/coreml/animal-classifier.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..b912c670a77d7162ee8a6f3309dbed764d056614 --- /dev/null +++ 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with attribution); weights: Apache-2.0 (timm backbone) \u2014 publicly distributable", + "output": "logits (apply softmax)", + "best_val_acc": 0.8925 +} \ No newline at end of file diff --git a/animalClassification/animal-classifier/onnx/animal-classifier.onnx b/animalClassification/animal-classifier/onnx/animal-classifier.onnx new file mode 100644 index 0000000000000000000000000000000000000000..4e755e5d66c3d64a4a5f09afee219676773638b8 --- /dev/null +++ b/animalClassification/animal-classifier/onnx/animal-classifier.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ccd51865c1d2d600ff68235f5e72a434cb89555197a872489a2357f50771768 +size 13477185 diff --git a/animalClassification/animal-classifier/openvino/animal-classifier-labels.json b/animalClassification/animal-classifier/openvino/animal-classifier-labels.json new file mode 100644 index 0000000000000000000000000000000000000000..7dbdd8baa6d4b9b88f2e7c94b70a6b3f15687c7d --- /dev/null +++ b/animalClassification/animal-classifier/openvino/animal-classifier-labels.json @@ -0,0 +1,35 @@ +{ + "labels": [ + "bird", + "cat", + "cow", + "deer", + "dog", + "horse", + "sheep", + "squirrel" + ], + "input_size": 224, + "num_classes": 8, + "preprocess": { + "normalize": "imagenet", + "mean": [ + 0.485, + 0.456, + 0.406 + ], + "std": [ + 0.229, + 0.224, + 0.225 + ], + "channels": "RGB", + "layout": "NCHW" + }, + "arch": "efficientnet_lite0", + "source": "Open Images V7 animal subset (largest-box crops per image), 8 classes; timm ImageNet1K pretrained, full fine-tune", + "dataset": "Open Images V7 (Google)", + "license": "dataset: images CC-BY 2.0 + annotations CC-BY 4.0 (permissive, commercial + redistributable with attribution); weights: Apache-2.0 (timm backbone) \u2014 publicly distributable", + "output": "logits (apply softmax)", + "best_val_acc": 0.8925 +} \ No newline at end of file diff --git a/animalClassification/animal-classifier/openvino/animal-classifier.bin 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0000000000000000000000000000000000000000..5f0cd0c66d06f2abd4fe2406ae9684a406a6d542 --- /dev/null +++ b/animalClassification/bird-classifier/README.md @@ -0,0 +1,16 @@ + + +# animalClassification/bird-classifier: AIY Vision Birds V1 (MobileNetV2), bird classifier + +| | | +| --- | --- | +| Catalog id | `bird-classifier` (964 species plus background) | +| Upstream | Google AIY Vision `birds_V1`, published in https://github.com/google-coral/test_data | +| Obtained from | the TensorFlow model `aiy/vision/classifier/birds_V1` (per the ONNX metadata) | +| Code licence | Apache-2.0 | +| **Weights licence** | Apache-2.0 ([`LICENSES/Apache-2.0.txt`](../../LICENSES/Apache-2.0.txt)) | +| Training data | not stated upstream | +| CamStack modifications | converted from TensorFlow with tf2onnx; OpenVINO IR and CoreML derived from the ONNX | +| Commercial use | permitted by Apache-2.0 | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/animalClassification/bird-classifier/coreml/bird-classifier-labels.json b/animalClassification/bird-classifier/coreml/bird-classifier-labels.json new file mode 100644 index 0000000000000000000000000000000000000000..f54fcaf7e4a514c45dcb61b897a9aa9a1762040f --- /dev/null +++ b/animalClassification/bird-classifier/coreml/bird-classifier-labels.json @@ -0,0 +1,985 @@ +{ + "labels": [ + "Haemorhous cassinii", + "Aramus guarauna", + "Rupornis magnirostris", + "Cyanocitta cristata", + "Cyanocitta stelleri", + "Balearica regulorum", + "Pyrocephalus rubinus", + "Recurvirostra americana", + "Ardeotis kori", + "Pica nuttalli", + "Perisoreus canadensis", + "Antigone canadensis", + "Parkesia noveboracensis", + "Ardea herodias occidentalis", + "Porzana carolina", + "Anas platyrhynchos diazi", + "Motacilla cinerea", + "Empidonax difficilis", + "Empidonax minimus", + "Empidonax fulvifrons", + "Empidonax traillii", + "Empidonax hammondii", + "Empidonax occidentalis", + "Rallus limicola", + "Grus grus", + "Quiscalus major", + "Branta leucopsis", + "Cyanocorax yucatanicus", + "Cyanocorax yncas", + "Oceanites oceanicus", + "Quiscalus niger", + "Psilorhinus morio", + "Megarynchus pitangua", + "Gallinula tenebrosa", + "Gallus gallus domesticus", + "Numida meleagris", + "Junco hyemalis caniceps", + "Tyrannus vociferans", + "Tyrannus tyrannus", + "Tyrannus forficatus", + "Tyrannus crassirostris", + "Tyrannus verticalis", + "Tyrannus savana", + "Gallirallus australis", + "Calocitta formosa", + "Calocitta colliei", + "Fulica americana", + "Pachyramphus aglaiae", + "Buteo lagopus", + "Cygnus atratus", + "Philesturnus rufusater", + "Larus marinus", + "Pitangus sulphuratus", + "Anas rubripes", + "Anthus novaeseelandiae novaeseelandiae", + "Sayornis phoebe", + "Sayornis nigricans", + "Tityra semifasciata", + "Dryocopus lineatus", + "Porphyrio melanotus", + "Anas bahamensis", + "Egretta novaehollandiae", + "Anas crecca carolinensis", + "Alectoris chukar", + "Tachybaptus dominicus", + "Artemisiospiza belli", + "Gallus gallus", + "Cardinalis sinuatus", + "Cardinalis cardinalis", + "Melospiza lincolnii", + "Podilymbus podiceps", + "Melospiza georgiana", + "Meleagris gallopavo", + "Meleagris ocellata", + "Lagopus lagopus", + "Spizella atrogularis", + "Pyrrhocorax graculus", + "Spizella breweri", + "Sialia currucoides", + "Spizella pusilla", + "Anas superciliosa", + "Passerella iliaca", + "Phoenicopterus ruber", + "Sylvia atricapilla", + "Vireo bellii", + "Vireo plumbeus", + "Vireo philadelphicus", + "Vireo flavifrons", + "Vireo olivaceus", + "Zonotrichia querula", + "Vireo huttoni", + "Zonotrichia albicollis", + "Zonotrichia atricapilla", + "Emberiza citrinella", + "Bucephala islandica", + "Emberiza schoeniclus", + "Vireo gilvus", + "Serinus serinus", + "Serinus mozambicus", + "Lophura leucomelanos", + "Euphonia elegantissima", + "Euphonia hirundinacea", + "Euphonia affinis", + "Agelaius tricolor", + "Momotus lessonii", + "Zosterops japonicus", + "Phalacrocorax pelagicus", + "Icterus cucullatus", + "Icterus graduacauda", + "Motacilla aguimp", + "Anas superciliosa \u00d7 platyrhynchos", + "Icterus pustulatus", + "Icterus gularis", + "Carduelis cannabina", + "Catharus minimus", + "Amaurornis phoenicurus", + "Pavo cristatus", + "Rallus crepitans", + "Nestor meridionalis septentrionalis", + "Pipilo chlorurus", + "Pipilo maculatus", + "Pipilo erythrophthalmus", + "Cairina moschata domestica", + "Phalacrocorax varius", + "Picoides dorsalis", + "Picoides nuttallii", + "Picoides scalaris", + "Callipepla gambelii", + "Pyrrhula pyrrhula", + "Phalacrocorax brasilianus", + "Picoides pubescens", + "Colinus virginianus", + "Sporophila torqueola", + "Picoides villosus", + "Calidris pusilla", + "Picoides arcticus", + "Aythya marila", + "Phaethon aethereus", + "Sturnella magna", + "Melopsittacus undulatus", + "Aythya affinis", + "Aythya novaeseelandiae", + "Cyrtonyx montezumae", + "Pelecanus occidentalis", + "Cinclus cinclus", + "Chen rossii", + "Callipepla californica", + "Quiscalus quiscula", + "Quiscalus mexicanus", + "Callipepla squamata", + "Dryocopus pileatus", + "Passerina caerulea", + "Amazilia beryllina", + "Geothlypis trichas", + "Trogon melanocephalus", + "Sylvia communis", + "Pinicola enucleator", + "Coccothraustes vespertinus", + "Coccothraustes coccothraustes", + "Vermivora chrysoptera", + "Opisthocomus hoazin", + "Setophaga coronata coronata", + "Diglossa baritula", + "Saltator coerulescens", + "Saltator atriceps", + "Sicalis flaveola", + "Aix galericulata", + "Junco hyemalis hyemalis", + "Eupsittula canicularis", + "Microcarbo melanoleucos", + "Piranga rubra", + "Piranga olivacea", + "Piranga flava", + "Amphispiza bilineata", + "Larus dominicanus", + "Piaya cayana", + "Aimophila ruficeps", + "Melanerpes lewis", + "Melanerpes uropygialis", + "Passerculus sandwichensis", + "Melanerpes pucherani", + "Salpinctes obsoletus", + "Melanerpes carolinus", + "Melanerpes chrysogenys", + "Melanerpes formicivorus", + "Colaptes auratus", + "Basileuterus rufifrons", + "Larus michahellis", + "Ramphocelus passerinii", + "Athene cunicularia", + "Branta hutchinsii", + "Fringilla montifringilla", + "Fringilla coelebs", + "Junco hyemalis", + "Cuculus canorus", + "Junco phaeonotus", + "Ammodramus nelsoni", + "Ammodramus savannarum", + "Ammodramus maritimus", + "Coccyzus erythropthalmus", + "Coccyzus minor", + "Coccyzus americanus", + "Nucifraga columbiana", + "Crotophaga sulcirostris", + "Pooecetes gramineus", + "Arremonops rufivirgatus", + "Geococcyx californianus", + "Geococcyx velox", + "Coereba flaveola", + "Passerina ciris", + "Alectura lathami", + "Passerina leclancherii", + "Passerina amoena", + "Icteria virens", + "Crax rubra", + "Penelope purpurascens", + "Copsychus malabaricus", + "Paroaria capitata", + "Cyanerpes cyaneus", + "Microcarbo melanoleucos brevirostris", + "Sphyrapicus thyroideus", + "Pheucticus ludovicianus", + "Sphyrapicus ruber", + "Pheucticus melanocephalus", + "Sphyrapicus nuchalis", + "Ortalis poliocephala", + "Ortalis vetula", + "Corvus albus", + "Mniotilta varia", + "Volatinia jacarina", + "Thraupis palmarum", + "Momotus mexicanus", + "Euphagus cyanocephalus", + "Cacatua galerita", + "Junco hyemalis oreganus", + "Pluvialis fulva", + "Molothrus aeneus", + "Molothrus ater", + "Merops pusillus", + "Merops apiaster", + "Pteroglossus torquatus", + "Loxia curvirostra", + "Merops orientalis", + "Loxia leucoptera", + "Coracias garrulus", + "Coracias caudatus", + "Coracias benghalensis", + "Xanthocephalus xanthocephalus", + "Chondestes grammacus", + "Dolichonyx oryzivorus", + "Pandion haliaetus", + "Phainopepla nitens", + "Tyrannus couchii", + "Phylloscopus collybita", + "Circus cyaneus hudsonius", + "Grallina cyanoleuca", + "Plectrophenax nivalis", + "Calamospiza melanocorys", + "Regulus calendula", + "Regulus ignicapilla", + "Regulus regulus", + "Regulus satrapa", + "Tyrannus melancholicus", + "Pelecanus conspicillatus", + "Aulacorhynchus prasinus", + "Todiramphus sanctus", + "Icterus bullockii", + "Spiza americana", + "Tyrannus dominicensis", + "Chlidonias niger", + "Oriturus superciliosus", + "Psarocolius montezuma", + "Turdus pilaris", + "Notiomystis cincta", + "Sagittarius serpentarius", + "Psittacula krameri", + "Platycercus eximius", + "Protonotaria citrea", + "Megaceryle torquata", + "Nestor meridionalis", + "Amazona viridigenalis", + "Amazona albifrons", + "Amazona oratrix", + "Saxicola rubetra", + "Ara militaris", + "Spizelloides arborea", + "Ceryle rudis", + "Chloroceryle aenea", + "Chloroceryle amazona", + "Myiozetetes similis", + "Toxostoma curvirostre", + "Megaceryle alcyon", + "Eremophila alpestris", + "Alisterus scapularis", + "Cinnyris jugularis", + "Xiphorhynchus flavigaster", + "Jacana jacana", + "Phalaropus fulicarius", + "Streptopelia turtur", + "Pica hudsonia", + "Corvus cornix", + "Myiopsitta monachus", + "Streptopelia decaocto", + "Piranga ludoviciana", + "Ixobrychus exilis", + "Auriparus flaviceps", + "Geothlypis tolmiei", + "Columba livia", + "Setophaga citrina", + "Setophaga cerulea", + "Columba palumbus", + "Piranga bidentata", + "Patagioenas leucocephala", + "Patagioenas fasciata", + "Patagioenas flavirostris", + "Setophaga discolor", + "Chordeiles minor", + "Chordeiles acutipennis", + "Platalea leucorodia", + "Phalaenoptilus nuttallii", + "Haemorhous mexicanus", + "Haemorhous purpureus", + "Nyctidromus albicollis", + "Campephilus guatemalensis", + "Toxostoma rufum", + "Leptotila verreauxi", + "Nyctibius jamaicensis", + "Anas penelope", + "Buteo plagiatus", + "Selasphorus calliope", + "Megascops kennicottii", + "Porphyrio poliocephalus", + "Megascops asio", + "Zenaida auriculata", + "Hymenolaimus malacorhynchos", + "Setophaga caerulescens", + "Camptostoma imberbe", + "Caracara plancus", + "Columbina passerina", + "Eupsittula nana", + "Nestor notabilis", + "Columbina talpacoti", + "Geopelia striata", + "Athene noctua", + "Crotophaga ani", + "Sialia sialis", + "Platalea alba", + "Bubo virginianus", + "Petrochelidon fulva", + "Progne subis", + "Setophaga coronata auduboni", + "Hirundo neoxena", + "Hirundo rustica", + "Calidris virgata", + "Calidris pugnax", + "Platalea regia", + "Tachycineta thalassina", + "Bostrychia hagedash", + "Riparia riparia", + "Eudocimus albus", + "Plegadis falcinellus", + "Plegadis chihi", + "Corvus corax", + "Stelgidopteryx serripennis", + "Sula dactylatra", + "Sula sula", + "Sula leucogaster", + "Morus serrator", + "Eudyptula minor", + "Megadyptes antipodes", + "Scopus umbretta", + "Troglodytes troglodytes", + "Calidris canutus", + "Lanius collurio", + "Calidris bairdii", + "Meleagris gallopavo intermedia", + "Calidris mauri", + "Calidris maritima", + "Calidris alpina", + "Calidris ferruginea", + "Calidris melanotos", + "Limnodromus griseus", + "Malurus cyaneus", + "Tringa nebularia", + "Todiramphus sanctus vagans", + "Tringa ochropus", + "Tringa glareola", + "Tringa melanoleuca", + "Tringa flavipes", + "Numenius arquata", + "Numenius phaeopus", + "Phalacrocorax carbo novaehollandiae", + "Petroica macrocephala macrocephala", + "Petroica australis longipes", + "Prosthemadera novaeseelandiae novaeseelandiae", + "Asio flammeus", + "Rhipidura fuliginosa fuliginosa", + "Scolopax minor", + "Arenaria interpres", + "Arenaria melanocephala", + "Rhipidura fuliginosa placabilis", + "Limosa limosa", + "Limosa haemastica", + "Limosa fedoa", + "Phalaropus lobatus", + "Bartramia longicauda", + "Limosa lapponica", + "Aegolius acadicus", + "Actitis hypoleucos", + "Trichoglossus haematodus", + "Surnia ulula", + "Polioptila caerulea", + "Spizella passerina", + "Pycnonotus jocosus", + "Passerina cyanea", + "Passerina versicolor", + "Manorina melanocephala", + "Ocyphaps lophotes", + "Jabiru mycteria", + "Pycnonotus cafer", + "Anser cygnoides domesticus", + "Picus viridis", + "Phoebastria nigripes", + "Struthio camelus", + "Phoebastria immutabilis", + "Fulmarus glacialis", + "Francolinus pondicerianus", + "Cynanthus latirostris", + "Podiceps nigricollis", + "Podiceps cristatus", + "Podiceps auritus", + "Dendrocopos major", + "Podiceps grisegena", + "Tachybaptus ruficollis", + "Charadrius montanus", + "Phalacrocorax auritus", + "Phalacrocorax carbo", + "Phalacrocorax penicillatus", + "Aechmophorus clarkii", + "Pelecanus onocrotalus", + "Pelecanus erythrorhynchos", + "Zenaida macroura", + "Vanellus miles", + "Larus occidentalis", + "Trogon massena", + "Larus thayeri", + "Larus heermanni", + "Larus livens", + "Larus canus", + "Larus glaucoides", + "Larus delawarensis", + "Trogon collaris", + "Zenaida asiatica", + "Larus fuscus", + "Larus californicus", + "Prosthemadera novaeseelandiae", + "Trogon elegans", + "Larus glaucescens", + "Trogon citreolus", + "Cepphus columba", + "Himantopus leucocephalus", + "Cepphus grylle", + "Anthornis melanura", + "Leptoptilos crumenifer", + "Threskiornis moluccus", + "Thraupis episcopus", + "Geranoaetus albicaudatus", + "Sterna paradisaea", + "Sterna hirundo", + "Sterna forsteri", + "Lanius excubitor", + "Pharomachrus mocinno", + "Sterna striata", + "Stercorarius parasiticus", + "Stercorarius pomarinus", + "Anas gracilis", + "Rissa tridactyla", + "Rynchops niger", + "Alca torda", + "Fratercula arctica", + "Fratercula cirrhata", + "Turdus merula", + "Turdus plumbeus", + "Turdus grayi", + "Turdus migratorius", + "Turdus viscivorus", + "Cerorhinca monocerata", + "Turdus philomelos", + "Galbula ruficauda", + "Jacana spinosa", + "Saxicola rubicola", + "Upupa epops", + "Euphagus carolinus", + "Gavia pacifica", + "Mimus gilvus", + "Passer italiae", + "Gavia immer", + "Gavia stellata", + "Oenanthe oenanthe", + "Fregata magnificens", + "Fregata minor", + "Falco subbuteo", + "Falco mexicanus", + "Falco femoralis", + "Falco peregrinus", + "Falco rufigularis", + "Falco sparverius", + "Strix varia", + "Falco columbarius", + "Gallinula chloropus", + "Cardellina pusilla", + "Catharus ustulatus", + "Falco novaeseelandiae", + "Catharus guttatus", + "Catharus fuscescens", + "Caracara cheriway", + "Herpetotheres cachinnans", + "Calcarius lapponicus", + "Milvago chimachima", + "Ciconia ciconia", + "Mycteria americana", + "Mycteria ibis", + "Sialia mexicana", + "Ephippiorhynchus senegalensis", + "Cathartes aura", + "Myadestes townsendi", + "Cathartes burrovianus", + "Sarcoramphus papa", + "Coragyps atratus", + "Strix nebulosa", + "Anastomus lamelligerus", + "Pluvialis squatarola", + "Gymnogyps californianus", + "Muscicapa striata", + "Charadrius vociferus", + "Charadrius wilsonia", + "Charadrius melodus", + "Phoenicurus phoenicurus", + "Phoenicurus ochruros", + "Charadrius dubius", + "Eumomota superciliosa", + "Anas querquedula", + "Himantopus mexicanus", + "Haematopus bachmani", + "Pica pica", + "Haematopus ostralegus", + "Haematopus unicolor", + "Vanellus vanellus", + "Vanellus spinosus", + "Vanellus armatus", + "Luscinia svecica", + "Columbina inca", + "Recurvirostra avosetta", + "Phasianus colchicus", + "Pluvialis dominica", + "Cinclus mexicanus", + "Erithacus rubecula", + "Melanerpes aurifrons", + "Charadrius hiaticula", + "Egretta gularis", + "Egretta caerulea", + "Egretta tricolor", + "Egretta thula", + "Egretta garzetta", + "Egretta sacra", + "Monticola solitarius", + "Ardea cocoi", + "Ardea cinerea", + "Ardea herodias", + "Nycticorax nycticorax", + "Turdus rufopalliatus", + "Ardeola ralloides", + "Nyctanassa violacea", + "Aramides cajaneus", + "Bubulcus ibis", + "Butorides virescens", + "Porphyrio martinicus", + "Botaurus lentiginosus", + "Cochlearius cochlearius", + "Anhinga novaehollandiae", + "Anhinga rufa", + "Melozone fusca", + "Aquila chrysaetos", + "Hylocichla mustelina", + "Aphelocoma wollweberi", + "Accipiter striatus", + "Accipiter nisus", + "Accipiter gentilis", + "Egretta rufescens", + "Bucephala clangula", + "Anous stolidus", + "Actitis macularius", + "Ardea purpurea", + "Todiramphus chloris", + "Grus americana", + "Himantopus himantopus", + "Glaucidium gnoma", + "Circus approximans", + "Circus aeruginosus", + "Phalacrocorax sulcirostris", + "Buteo albonotatus", + "Butorides striata", + "Platalea ajaja", + "Buteo brachyurus", + "Ardea alba", + "Buteo swainsoni", + "Alectoris rufa", + "Buteo lineatus", + "Buteo jamaicensis", + "Charadrius nivosus", + "Tringa incana", + "Tringa semipalmata", + "Terathopius ecaudatus", + "Gallinago delicata", + "Buteogallus anthracinus", + "Chroicocephalus philadelphia", + "Circaetus gallicus", + "Chroicocephalus novaehollandiae", + "Chroicocephalus ridibundus", + "Leucophaeus atricilla", + "Leucophaeus pipixcan", + "Onychoprion fuscatus", + "Sternula antillarum", + "Hydroprogne caspia", + "Thalasseus maximus", + "Thalasseus bergii", + "Elanus leucurus", + "Alopochen aegyptiaca", + "Streptopelia senegalensis", + "Gerygone igata", + "Haliaeetus leucocephalus", + "Cistothorus platensis", + "Haliaeetus vocifer", + "Bubo scandiacus", + "Ciccaba virgata", + "Bonasa umbellus", + "Busarellus nigricollis", + "Rostrhamus sociabilis", + "Milvus milvus", + "Gyps fulvus", + "Ficedula hypoleuca", + "Momotus coeruliceps", + "Charadrius semipalmatus", + "Haliastur indus", + "Gyps africanus", + "Ictinia mississippiensis", + "Dives dives", + "Baeolophus atricristatus", + "Baeolophus bicolor", + "Baeolophus inornatus", + "Melospiza melodia", + "Spinus spinus", + "Motacilla alba", + "Certhia americana", + "Bucorvus leadbeateri", + "Anthus pratensis", + "Anthus rubescens", + "Tachycineta albilinea", + "Poecile carolinensis", + "Poecile atricapillus", + "Poecile gambeli", + "Poecile rufescens", + "Periparus ater", + "Chlorophanes spiza", + "Estrilda astrild", + "Cyanistes caeruleus", + "Sphyrapicus varius", + "Petrochelidon pyrrhonota", + "Troglodytes pacificus", + "Troglodytes hiemalis", + "Passer montanus", + "Passer domesticus", + "Aphelocoma californica", + "Amazilia yucatanensis", + "Amazilia tzacatl", + "Dicrurus adsimilis", + "Amazilia violiceps", + "Lonchura punctulata", + "Tigrisoma mexicanum", + "Porphyrio melanotus melanotus", + "Melanitta americana", + "Spizella pallida", + "Amazilia rutila", + "Zenaida aurita", + "Prunella modularis", + "Falco tinnunculus", + "Ixoreus naevius", + "Archilochus colubris", + "Lampornis clemenciae", + "Myiarchus tuberculifer", + "Setophaga ruticilla", + "Myiarchus tyrannulus", + "Zosterops lateralis", + "Zonotrichia leucophrys", + "Agelaius phoeniceus", + "Parus major", + "Zonotrichia capensis", + "Oreothlypis peregrina", + "Oreothlypis celata", + "Oreothlypis ruficapilla", + "Geothlypis philadelphia", + "Geothlypis formosa", + "Setophaga tigrina", + "Setophaga americana", + "Setophaga magnolia", + "Setophaga castanea", + "Setophaga fusca", + "Setophaga petechia", + "Setophaga striata", + "Setophaga palmarum", + "Setophaga pinus", + "Setophaga coronata", + "Setophaga dominica", + "Campylopterus hemileucurus", + "Vireo cassinii", + "Setophaga nigrescens", + "Setophaga townsendi", + "Setophaga occidentalis", + "Setophaga chrysoparia", + "Setophaga virens", + "Cardellina canadensis", + "Cardellina rubra", + "Aphelocoma coerulescens", + "Melanerpes erythrocephalus", + "Emberiza calandra", + "Acanthis flammea", + "Spinus pinus", + "Thraupis abbas", + "Spinus psaltria", + "Spinus lawrencei", + "Spinus tristis", + "Threskiornis aethiopicus", + "Gygis alba", + "Tachycineta bicolor", + "Larus dominicanus dominicanus", + "Lonchura oryzivora", + "Haematopus palliatus", + "Chloris chloris", + "Accipiter cooperii", + "Vireo solitarius", + "Selasphorus platycercus", + "Chroicocephalus scopulinus", + "Aechmophorus occidentalis", + "Hemiphaga novaeseelandiae", + "Xema sabini", + "Ramphastos sulfuratus", + "Dacelo novaeguineae", + "Fulica atra", + "Hirundo rustica erythrogaster", + "Calypte costae", + "Calypte anna", + "Colaptes auratus cafer", + "Sula nebouxii", + "Copsychus saularis", + "Selasphorus sasin", + "Selasphorus rufus", + "Calothorax lucifer", + "Pycnonotus barbatus", + "Larus glaucescens \u00d7 occidentalis", + "Aphelocoma woodhouseii", + "Florisuga mellivora", + "Haematopus finschi", + "Falcipennis canadensis", + "Archilochus alexandri", + "Circus cyaneus", + "Ardea alba modesta", + "Myiarchus crinitus", + "Buteo regalis", + "Aeronautes saxatalis", + "Chaetura vauxi", + "Chaetura pelagica", + "Setophaga pensylvanica", + "Lanius ludovicianus", + "Anhinga anhinga", + "Acridotheres tristis", + "Sitta pygmaea", + "Actophilornis africanus", + "Sitta canadensis", + "Sitta europaea", + "Sitta pusilla", + "Apus apus", + "Sturnus vulgaris", + "Seiurus aurocapilla", + "Motacilla flava", + "Vireo griseus", + "Toxostoma longirostre", + "Calidris alba", + "Toxostoma redivivum", + "Gallinula galeata", + "Calidris himantopus", + "Eugenes fulgens", + "Icterus wagleri", + "Icterus parisorum", + "Buteo platypterus", + "Gallinago gallinago", + "Icterus spurius", + "Calidris minutilla", + "Dumetella carolinensis", + "Porphyrio hochstetteri", + "Calidris fuscicollis", + "Phalaropus tricolor", + "Colaptes auratus auratus", + "Melanotis caerulescens", + "Tiaris olivaceus", + "Oreoscoptes montanus", + "Limnodromus scolopaceus", + "Tringa solitaria", + "Sitta carolinensis", + "Tringa totanus", + "Dendrocygna autumnalis", + "Dendrocygna viduata", + "Dendrocygna bicolor", + "Icterus abeillei", + "Vanellus chilensis", + "Cygnus buccinator", + "Cygnus cygnus", + "Cygnus columbianus", + "Cygnus olor", + "Icterus galbula", + "Anas platyrhynchos", + "Anas acuta", + "Anas crecca", + "Anas cyanoptera", + "Anas fulvigula", + "Anas discors", + "Anas strepera", + "Anas clypeata", + "Anas chlorotis", + "Rhipidura leucophrys", + "Anas americana", + "Bucephala albeola", + "Mergus serrator", + "Mergus merganser", + "Anser anser", + "Anser albifrons", + "Somateria mollissima", + "Rallus obsoletus", + "Platycercus elegans", + "Melanitta fusca", + "Milvus migrans", + "Gelochelidon nilotica", + "Ninox novaeseelandiae novaeseelandiae", + "Melanitta perspicillata", + "Aythya collaris", + "Aythya ferina", + "Aythya fuligula", + "Numenius americanus", + "Chen caerulescens", + "Chamaea fasciata", + "Branta canadensis", + "Thalasseus elegans", + "Branta sandvicensis", + "Aythya americana", + "Aix sponsa", + "Lophodytes cucullatus", + "Histrionicus histrionicus", + "Aratinga nenday", + "Psittacara holochlorus", + "Cairina moschata", + "Netta rufina", + "Psittacara erythrogenys", + "Sayornis saya", + "Aythya valisineria", + "Picoides albolarvatus", + "Vermivora cyanoptera", + "Corvus caurinus", + "Asio otus", + "Corvus brachyrhynchos", + "Clangula hyemalis", + "Chenonetta jubata", + "Thalasseus sandvicensis", + "Eolophus roseicapilla", + "Colaptes rubiginosus", + "Meleagris gallopavo silvestris", + "Ptiliogonys cinereus", + "Elanoides forficatus", + "Carduelis carduelis", + "Cassiculus melanicterus", + "Dendragapus fuliginosus", + "Psaltriparus minimus", + "Aegithalos caudatus", + "Zosterops lateralis lateralis", + "Haliaeetus leucogaster", + "Uria aalge", + "Tringa semipalmata inornatus", + "Alauda arvensis", + "Galerida cristata", + "Delichon urbicum", + "Helmitheros vermivorum", + "Hylocharis leucotis", + "Mimus polyglottos", + "Gymnorhina tibicen", + "Alcedo atthis", + "Streptopelia chinensis", + "Bombycilla cedrorum", + "Bombycilla garrulus", + "Tadorna tadorna", + "Petroica australis australis", + "Amazona autumnalis", + "Dendragapus obscurus", + "Catherpes mexicanus", + "Tadorna ferruginea", + "Campylorhynchus brunneicapillus", + "Campylorhynchus rufinucha", + "Rhipidura fuliginosa", + "Polioptila melanura", + "Pelecanus occidentalis carolinensis", + "Melozone aberti", + "Melozone crissalis", + "Thryothorus ludovicianus", + "Parabuteo unicinctus", + "Anas platyrhynchos domesticus", + "Troglodytes aedon", + "Buteo lineatus elegans", + "Thamnophilus doliatus", + "Thryomanes bewickii", + "Tadorna variegata", + "Myioborus miniatus", + "Phalacrocorax varius varius", + "Myioborus pictus", + "Larus argentatus smithsonianus", + "Parkesia motacilla", + "Sula granti", + "Ara macao", + "Peucaea ruficauda", + "Calidris subruficollis", + "Phoenicopterus roseus", + "Morus bassanus", + "Pelecanus occidentalis californicus", + "Glaucidium brasilianum", + "Oxyura jamaicensis", + "Myiarchus cinerascens", + "Chloroceryle americana", + "Sturnella neglecta", + "Ramphastos ambiguus", + "Paroaria coronata", + "Buteo buteo", + "Myiodynastes luteiventris", + "Contopus sordidulus", + "Corvus corone", + "Cyanoramphus novaezelandiae", + "Contopus virens", + "Contopus pertinax", + "Contopus cooperi", + "Larus argentatus", + "Halcyon smyrnensis", + "Onychognathus morio", + "Cyanocompsa parellina", + "Cistothorus palustris", + "Tyto alba", + "Trogon caligatus", + "Corvus monedula", + "Corvus ossifragus", + "Spheniscus demersus", + "Corvus frugilegus", + "Corvus splendens", + "Branta bernicla", + "Larus hyperboreus", + "Columba livia domestica", + "Garrulus glandarius", + "Anser anser domesticus", + "Mitrephanes phaeocercus", + "Ardenna creatopus", + "Ardenna gravis", + "background" + ], + "input_size": 224, + "num_classes": 965, + "preprocess": { + "normalize": "none", + "scale": [ + 0.00392156862745098 + ], + "channels": "RGB", + "layout": "NHWC" + }, + "arch": "mobilenet_v2", + "source": "Google AIY Vision Classifier Birds V1 (aiy/vision/classifier/birds_V1) \u2014 MobileNetV2 trained on iNaturalist community photos; obtained via Kaggle Models google/aiy/tensorFlow1/vision-classifier-birds-v1", + "license": "Apache-2.0", + "output": "probabilities (softmax ALREADY applied in-graph \u2014 do NOT re-softmax)", + "background_class_index": 964, + "notes": "Class index == label id. Index 964 is 'background'. Names are scientific (Latin) species names." +} \ No newline at end of file diff --git a/animalClassification/bird-classifier/coreml/bird-classifier.mlpackage/Data/com.apple.CoreML/model.mlmodel b/animalClassification/bird-classifier/coreml/bird-classifier.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..f69f770ed68bce517289c017e5f8a48b18bd967a --- /dev/null +++ b/animalClassification/bird-classifier/coreml/bird-classifier.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:951308dfd97fbb60175d7bb90df73db16b9263d86e0bd480751e73eda2986d5c +size 240079 diff --git a/animalClassification/bird-classifier/coreml/bird-classifier.mlpackage/Data/com.apple.CoreML/weights/weight.bin b/animalClassification/bird-classifier/coreml/bird-classifier.mlpackage/Data/com.apple.CoreML/weights/weight.bin new file mode 100644 index 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"com.apple.CoreML/model.mlmodel" + }, + "8E869B1B-F744-4AB3-B97D-10880EE221C1": { + "author": "com.apple.CoreML", + "description": "CoreML Model Weights", + "name": "weights", + "path": "com.apple.CoreML/weights" + } + }, + "rootModelIdentifier": "1FAB0EFD-D8C5-44C6-BB17-F5614F726A22" +} diff --git a/animalClassification/bird-classifier/onnx/bird-classifier-labels.json b/animalClassification/bird-classifier/onnx/bird-classifier-labels.json new file mode 100644 index 0000000000000000000000000000000000000000..f54fcaf7e4a514c45dcb61b897a9aa9a1762040f --- /dev/null +++ b/animalClassification/bird-classifier/onnx/bird-classifier-labels.json @@ -0,0 +1,985 @@ +{ + "labels": [ + "Haemorhous cassinii", + "Aramus guarauna", + "Rupornis magnirostris", + "Cyanocitta cristata", + "Cyanocitta stelleri", + "Balearica regulorum", + "Pyrocephalus rubinus", + "Recurvirostra americana", + "Ardeotis kori", + "Pica nuttalli", + "Perisoreus canadensis", + "Antigone canadensis", + "Parkesia noveboracensis", + "Ardea herodias occidentalis", + "Porzana carolina", + "Anas platyrhynchos diazi", + "Motacilla cinerea", + "Empidonax difficilis", + "Empidonax minimus", + "Empidonax fulvifrons", + "Empidonax traillii", + "Empidonax hammondii", + "Empidonax occidentalis", + "Rallus limicola", + "Grus grus", + "Quiscalus major", + "Branta leucopsis", + "Cyanocorax yucatanicus", + "Cyanocorax yncas", + "Oceanites oceanicus", + "Quiscalus niger", + "Psilorhinus morio", + "Megarynchus pitangua", + "Gallinula tenebrosa", + "Gallus gallus domesticus", + "Numida meleagris", + "Junco hyemalis caniceps", + "Tyrannus vociferans", + "Tyrannus tyrannus", + "Tyrannus forficatus", + "Tyrannus crassirostris", + "Tyrannus verticalis", + "Tyrannus savana", + "Gallirallus australis", + "Calocitta formosa", + "Calocitta colliei", + "Fulica americana", + "Pachyramphus aglaiae", + "Buteo lagopus", + "Cygnus atratus", + "Philesturnus rufusater", + "Larus marinus", + "Pitangus sulphuratus", + "Anas rubripes", + "Anthus novaeseelandiae novaeseelandiae", + "Sayornis phoebe", + "Sayornis nigricans", + "Tityra semifasciata", + "Dryocopus lineatus", + "Porphyrio melanotus", + "Anas bahamensis", + "Egretta novaehollandiae", + "Anas crecca carolinensis", + "Alectoris chukar", + "Tachybaptus dominicus", + "Artemisiospiza belli", + "Gallus gallus", + "Cardinalis sinuatus", + "Cardinalis cardinalis", + "Melospiza lincolnii", + "Podilymbus podiceps", + "Melospiza georgiana", + "Meleagris gallopavo", + "Meleagris ocellata", + "Lagopus lagopus", + "Spizella atrogularis", + "Pyrrhocorax graculus", + "Spizella breweri", + "Sialia currucoides", + "Spizella pusilla", + "Anas superciliosa", + "Passerella iliaca", + "Phoenicopterus ruber", + "Sylvia atricapilla", + "Vireo bellii", + "Vireo plumbeus", + "Vireo philadelphicus", + "Vireo flavifrons", + "Vireo olivaceus", + "Zonotrichia querula", + "Vireo huttoni", + "Zonotrichia albicollis", + "Zonotrichia atricapilla", + "Emberiza citrinella", + "Bucephala islandica", + "Emberiza schoeniclus", + "Vireo gilvus", + "Serinus serinus", + "Serinus mozambicus", + "Lophura leucomelanos", + "Euphonia elegantissima", + "Euphonia hirundinacea", + "Euphonia affinis", + "Agelaius tricolor", + "Momotus lessonii", + "Zosterops japonicus", + "Phalacrocorax pelagicus", + "Icterus cucullatus", + "Icterus graduacauda", + "Motacilla aguimp", + "Anas superciliosa \u00d7 platyrhynchos", + "Icterus pustulatus", + "Icterus gularis", + "Carduelis cannabina", + "Catharus minimus", + "Amaurornis phoenicurus", + "Pavo cristatus", + "Rallus crepitans", + "Nestor meridionalis septentrionalis", + "Pipilo chlorurus", + "Pipilo maculatus", + "Pipilo erythrophthalmus", + "Cairina moschata domestica", + "Phalacrocorax varius", + "Picoides dorsalis", + "Picoides nuttallii", + "Picoides scalaris", + "Callipepla gambelii", + "Pyrrhula pyrrhula", + "Phalacrocorax brasilianus", + "Picoides pubescens", + "Colinus virginianus", + "Sporophila torqueola", + "Picoides villosus", + "Calidris pusilla", + "Picoides arcticus", + "Aythya marila", + "Phaethon aethereus", + "Sturnella magna", + "Melopsittacus undulatus", + "Aythya affinis", + "Aythya novaeseelandiae", + "Cyrtonyx montezumae", + "Pelecanus occidentalis", + "Cinclus cinclus", + "Chen rossii", + "Callipepla californica", + "Quiscalus quiscula", + "Quiscalus mexicanus", + "Callipepla squamata", + "Dryocopus pileatus", + "Passerina caerulea", + "Amazilia beryllina", + "Geothlypis trichas", + "Trogon melanocephalus", + "Sylvia communis", + "Pinicola enucleator", + "Coccothraustes vespertinus", + "Coccothraustes coccothraustes", + "Vermivora chrysoptera", + "Opisthocomus hoazin", + "Setophaga coronata coronata", + "Diglossa baritula", + "Saltator coerulescens", + "Saltator atriceps", + "Sicalis flaveola", + "Aix galericulata", + "Junco hyemalis hyemalis", + "Eupsittula canicularis", + "Microcarbo melanoleucos", + "Piranga rubra", + "Piranga olivacea", + "Piranga flava", + "Amphispiza bilineata", + "Larus dominicanus", + "Piaya cayana", + "Aimophila ruficeps", + "Melanerpes lewis", + "Melanerpes uropygialis", + "Passerculus sandwichensis", + "Melanerpes pucherani", + "Salpinctes obsoletus", + "Melanerpes carolinus", + "Melanerpes chrysogenys", + "Melanerpes formicivorus", + "Colaptes auratus", + "Basileuterus rufifrons", + "Larus michahellis", + "Ramphocelus passerinii", + "Athene cunicularia", + "Branta hutchinsii", + "Fringilla montifringilla", + "Fringilla coelebs", + "Junco hyemalis", + "Cuculus canorus", + "Junco phaeonotus", + "Ammodramus nelsoni", + "Ammodramus savannarum", + "Ammodramus maritimus", + "Coccyzus erythropthalmus", + "Coccyzus minor", + "Coccyzus americanus", + "Nucifraga columbiana", + "Crotophaga sulcirostris", + "Pooecetes gramineus", + "Arremonops rufivirgatus", + "Geococcyx californianus", + "Geococcyx velox", + "Coereba flaveola", + "Passerina ciris", + "Alectura lathami", + "Passerina leclancherii", + "Passerina amoena", + "Icteria virens", + "Crax rubra", + "Penelope purpurascens", + "Copsychus malabaricus", + "Paroaria capitata", + "Cyanerpes cyaneus", + "Microcarbo melanoleucos brevirostris", + "Sphyrapicus thyroideus", + "Pheucticus ludovicianus", + "Sphyrapicus ruber", + "Pheucticus melanocephalus", + "Sphyrapicus nuchalis", + "Ortalis poliocephala", + "Ortalis vetula", + "Corvus albus", + "Mniotilta varia", + "Volatinia jacarina", + "Thraupis palmarum", + "Momotus mexicanus", + "Euphagus cyanocephalus", + "Cacatua galerita", + "Junco hyemalis oreganus", + "Pluvialis fulva", + "Molothrus aeneus", + "Molothrus ater", + "Merops pusillus", + "Merops apiaster", + "Pteroglossus torquatus", + "Loxia curvirostra", + "Merops orientalis", + "Loxia leucoptera", + "Coracias garrulus", + "Coracias caudatus", + "Coracias benghalensis", + "Xanthocephalus xanthocephalus", + "Chondestes grammacus", + "Dolichonyx oryzivorus", + "Pandion haliaetus", + "Phainopepla nitens", + "Tyrannus couchii", + "Phylloscopus collybita", + "Circus cyaneus hudsonius", + "Grallina cyanoleuca", + "Plectrophenax nivalis", + "Calamospiza melanocorys", + "Regulus calendula", + "Regulus ignicapilla", + "Regulus regulus", + "Regulus satrapa", + "Tyrannus melancholicus", + "Pelecanus conspicillatus", + "Aulacorhynchus prasinus", + "Todiramphus sanctus", + "Icterus bullockii", + "Spiza americana", + "Tyrannus dominicensis", + "Chlidonias niger", + "Oriturus superciliosus", + "Psarocolius montezuma", + "Turdus pilaris", + "Notiomystis cincta", + "Sagittarius serpentarius", + "Psittacula krameri", + "Platycercus eximius", + "Protonotaria citrea", + "Megaceryle torquata", + "Nestor meridionalis", + "Amazona viridigenalis", + "Amazona albifrons", + "Amazona oratrix", + "Saxicola rubetra", + "Ara militaris", + "Spizelloides arborea", + "Ceryle rudis", + "Chloroceryle aenea", + "Chloroceryle amazona", + "Myiozetetes similis", + "Toxostoma curvirostre", + "Megaceryle alcyon", + "Eremophila alpestris", + "Alisterus scapularis", + "Cinnyris jugularis", + "Xiphorhynchus flavigaster", + "Jacana jacana", + "Phalaropus fulicarius", + "Streptopelia turtur", + "Pica hudsonia", + "Corvus cornix", + "Myiopsitta monachus", + "Streptopelia decaocto", + "Piranga ludoviciana", + "Ixobrychus exilis", + "Auriparus flaviceps", + "Geothlypis tolmiei", + "Columba livia", + "Setophaga citrina", + "Setophaga cerulea", + "Columba palumbus", + "Piranga bidentata", + "Patagioenas leucocephala", + "Patagioenas fasciata", + "Patagioenas flavirostris", + "Setophaga discolor", + "Chordeiles minor", + "Chordeiles acutipennis", + "Platalea leucorodia", + "Phalaenoptilus nuttallii", + "Haemorhous mexicanus", + "Haemorhous purpureus", + "Nyctidromus albicollis", + "Campephilus guatemalensis", + "Toxostoma rufum", + "Leptotila verreauxi", + "Nyctibius jamaicensis", + "Anas penelope", + "Buteo plagiatus", + "Selasphorus calliope", + "Megascops kennicottii", + "Porphyrio poliocephalus", + "Megascops asio", + "Zenaida auriculata", + "Hymenolaimus malacorhynchos", + "Setophaga caerulescens", + "Camptostoma imberbe", + "Caracara plancus", + "Columbina passerina", + "Eupsittula nana", + "Nestor notabilis", + "Columbina talpacoti", + "Geopelia striata", + "Athene noctua", + "Crotophaga ani", + "Sialia sialis", + "Platalea alba", + "Bubo virginianus", + "Petrochelidon fulva", + "Progne subis", + "Setophaga coronata auduboni", + "Hirundo neoxena", + "Hirundo rustica", + "Calidris virgata", + "Calidris pugnax", + "Platalea regia", + "Tachycineta thalassina", + "Bostrychia hagedash", + "Riparia riparia", + "Eudocimus albus", + "Plegadis falcinellus", + "Plegadis chihi", + "Corvus corax", + "Stelgidopteryx serripennis", + "Sula dactylatra", + "Sula sula", + "Sula leucogaster", + "Morus serrator", + "Eudyptula minor", + "Megadyptes antipodes", + "Scopus umbretta", + "Troglodytes troglodytes", + "Calidris canutus", + "Lanius collurio", + "Calidris bairdii", + "Meleagris gallopavo intermedia", + "Calidris mauri", + "Calidris maritima", + "Calidris alpina", + "Calidris ferruginea", + "Calidris melanotos", + "Limnodromus griseus", + "Malurus cyaneus", + "Tringa nebularia", + "Todiramphus sanctus vagans", + "Tringa ochropus", + "Tringa glareola", + "Tringa melanoleuca", + "Tringa flavipes", + "Numenius arquata", + "Numenius phaeopus", + "Phalacrocorax carbo novaehollandiae", + "Petroica macrocephala macrocephala", + "Petroica australis longipes", + "Prosthemadera novaeseelandiae novaeseelandiae", + "Asio flammeus", + "Rhipidura fuliginosa fuliginosa", + "Scolopax minor", + "Arenaria interpres", + "Arenaria melanocephala", + "Rhipidura fuliginosa placabilis", + "Limosa limosa", + "Limosa haemastica", + "Limosa fedoa", + "Phalaropus lobatus", + "Bartramia longicauda", + "Limosa lapponica", + "Aegolius acadicus", + "Actitis hypoleucos", + "Trichoglossus haematodus", + "Surnia ulula", + "Polioptila caerulea", + "Spizella passerina", + "Pycnonotus jocosus", + "Passerina cyanea", + "Passerina versicolor", + "Manorina melanocephala", + "Ocyphaps lophotes", + "Jabiru mycteria", + "Pycnonotus cafer", + "Anser cygnoides domesticus", + "Picus viridis", + "Phoebastria nigripes", + "Struthio camelus", + "Phoebastria immutabilis", + "Fulmarus glacialis", + "Francolinus pondicerianus", + "Cynanthus latirostris", + "Podiceps nigricollis", + "Podiceps cristatus", + "Podiceps auritus", + "Dendrocopos major", + "Podiceps grisegena", + "Tachybaptus ruficollis", + "Charadrius montanus", + "Phalacrocorax auritus", + "Phalacrocorax carbo", + "Phalacrocorax penicillatus", + "Aechmophorus clarkii", + "Pelecanus onocrotalus", + "Pelecanus erythrorhynchos", + "Zenaida macroura", + "Vanellus miles", + "Larus occidentalis", + "Trogon massena", + "Larus thayeri", + "Larus heermanni", + "Larus livens", + "Larus canus", + "Larus glaucoides", + "Larus delawarensis", + "Trogon collaris", + "Zenaida asiatica", + "Larus fuscus", + "Larus californicus", + "Prosthemadera novaeseelandiae", + "Trogon elegans", + "Larus glaucescens", + "Trogon citreolus", + "Cepphus columba", + "Himantopus leucocephalus", + "Cepphus grylle", + "Anthornis melanura", + "Leptoptilos crumenifer", + "Threskiornis moluccus", + "Thraupis episcopus", + "Geranoaetus albicaudatus", + "Sterna paradisaea", + "Sterna hirundo", + "Sterna forsteri", + "Lanius excubitor", + "Pharomachrus mocinno", + "Sterna striata", + "Stercorarius parasiticus", + "Stercorarius pomarinus", + "Anas gracilis", + "Rissa tridactyla", + "Rynchops niger", + "Alca torda", + "Fratercula arctica", + "Fratercula cirrhata", + "Turdus merula", + "Turdus plumbeus", + "Turdus grayi", + "Turdus migratorius", + "Turdus viscivorus", + "Cerorhinca monocerata", + "Turdus philomelos", + "Galbula ruficauda", + "Jacana spinosa", + "Saxicola rubicola", + "Upupa epops", + "Euphagus carolinus", + "Gavia pacifica", + "Mimus gilvus", + "Passer italiae", + "Gavia immer", + "Gavia stellata", + "Oenanthe oenanthe", + "Fregata magnificens", + "Fregata minor", + "Falco subbuteo", + "Falco mexicanus", + "Falco femoralis", + "Falco peregrinus", + "Falco rufigularis", + "Falco sparverius", + "Strix varia", + "Falco columbarius", + "Gallinula chloropus", + "Cardellina pusilla", + "Catharus ustulatus", + "Falco novaeseelandiae", + "Catharus guttatus", + "Catharus fuscescens", + "Caracara cheriway", + "Herpetotheres cachinnans", + "Calcarius lapponicus", + "Milvago chimachima", + "Ciconia ciconia", + "Mycteria americana", + "Mycteria ibis", + "Sialia mexicana", + "Ephippiorhynchus senegalensis", + "Cathartes aura", + "Myadestes townsendi", + "Cathartes burrovianus", + "Sarcoramphus papa", + "Coragyps atratus", + "Strix nebulosa", + "Anastomus lamelligerus", + "Pluvialis squatarola", + "Gymnogyps californianus", + "Muscicapa striata", + "Charadrius vociferus", + "Charadrius wilsonia", + "Charadrius melodus", + "Phoenicurus phoenicurus", + "Phoenicurus ochruros", + "Charadrius dubius", + "Eumomota superciliosa", + "Anas querquedula", + "Himantopus mexicanus", + "Haematopus bachmani", + "Pica pica", + "Haematopus ostralegus", + "Haematopus unicolor", + "Vanellus vanellus", + "Vanellus spinosus", + "Vanellus armatus", + "Luscinia svecica", + "Columbina inca", + "Recurvirostra avosetta", + "Phasianus colchicus", + "Pluvialis dominica", + "Cinclus mexicanus", + "Erithacus rubecula", + "Melanerpes aurifrons", + "Charadrius hiaticula", + "Egretta gularis", + "Egretta caerulea", + "Egretta tricolor", + "Egretta thula", + "Egretta garzetta", + "Egretta sacra", + "Monticola solitarius", + "Ardea cocoi", + "Ardea cinerea", + "Ardea herodias", + "Nycticorax nycticorax", + "Turdus rufopalliatus", + "Ardeola ralloides", + "Nyctanassa violacea", + "Aramides cajaneus", + "Bubulcus ibis", + "Butorides virescens", + "Porphyrio martinicus", + "Botaurus lentiginosus", + "Cochlearius cochlearius", + "Anhinga novaehollandiae", + "Anhinga rufa", + "Melozone fusca", + "Aquila chrysaetos", + "Hylocichla mustelina", + "Aphelocoma wollweberi", + "Accipiter striatus", + "Accipiter nisus", + "Accipiter gentilis", + "Egretta rufescens", + "Bucephala clangula", + "Anous stolidus", + "Actitis macularius", + "Ardea purpurea", + "Todiramphus chloris", + "Grus americana", + "Himantopus himantopus", + "Glaucidium gnoma", + "Circus approximans", + "Circus aeruginosus", + "Phalacrocorax sulcirostris", + "Buteo albonotatus", + "Butorides striata", + "Platalea ajaja", + "Buteo brachyurus", + "Ardea alba", + "Buteo swainsoni", + "Alectoris rufa", + "Buteo lineatus", + "Buteo jamaicensis", + "Charadrius nivosus", + "Tringa incana", + "Tringa semipalmata", + "Terathopius ecaudatus", + "Gallinago delicata", + "Buteogallus anthracinus", + "Chroicocephalus philadelphia", + "Circaetus gallicus", + "Chroicocephalus novaehollandiae", + "Chroicocephalus ridibundus", + "Leucophaeus atricilla", + "Leucophaeus pipixcan", + "Onychoprion fuscatus", + "Sternula antillarum", + "Hydroprogne caspia", + "Thalasseus maximus", + "Thalasseus bergii", + "Elanus leucurus", + "Alopochen aegyptiaca", + "Streptopelia senegalensis", + "Gerygone igata", + "Haliaeetus leucocephalus", + "Cistothorus platensis", + "Haliaeetus vocifer", + "Bubo scandiacus", + "Ciccaba virgata", + "Bonasa umbellus", + "Busarellus nigricollis", + "Rostrhamus sociabilis", + "Milvus milvus", + "Gyps fulvus", + "Ficedula hypoleuca", + "Momotus coeruliceps", + "Charadrius semipalmatus", + "Haliastur indus", + "Gyps africanus", + "Ictinia mississippiensis", + "Dives dives", + "Baeolophus atricristatus", + "Baeolophus bicolor", + "Baeolophus inornatus", + "Melospiza melodia", + "Spinus spinus", + "Motacilla alba", + "Certhia americana", + "Bucorvus leadbeateri", + "Anthus pratensis", + "Anthus rubescens", + "Tachycineta albilinea", + "Poecile carolinensis", + "Poecile atricapillus", + "Poecile gambeli", + "Poecile rufescens", + "Periparus ater", + "Chlorophanes spiza", + "Estrilda astrild", + "Cyanistes caeruleus", + "Sphyrapicus varius", + "Petrochelidon pyrrhonota", + "Troglodytes pacificus", + "Troglodytes hiemalis", + "Passer montanus", + "Passer domesticus", + "Aphelocoma californica", + "Amazilia yucatanensis", + "Amazilia tzacatl", + "Dicrurus adsimilis", + "Amazilia violiceps", + "Lonchura punctulata", + "Tigrisoma mexicanum", + "Porphyrio melanotus melanotus", + "Melanitta americana", + "Spizella pallida", + "Amazilia rutila", + "Zenaida aurita", + "Prunella modularis", + "Falco tinnunculus", + "Ixoreus naevius", + "Archilochus colubris", + "Lampornis clemenciae", + "Myiarchus tuberculifer", + "Setophaga ruticilla", + "Myiarchus tyrannulus", + "Zosterops lateralis", + "Zonotrichia leucophrys", + "Agelaius phoeniceus", + "Parus major", + "Zonotrichia capensis", + "Oreothlypis peregrina", + "Oreothlypis celata", + "Oreothlypis ruficapilla", + "Geothlypis philadelphia", + "Geothlypis formosa", + "Setophaga tigrina", + "Setophaga americana", + "Setophaga magnolia", + "Setophaga castanea", + "Setophaga fusca", + "Setophaga petechia", + "Setophaga striata", + "Setophaga palmarum", + "Setophaga pinus", + "Setophaga coronata", + "Setophaga dominica", + "Campylopterus hemileucurus", + "Vireo cassinii", + "Setophaga nigrescens", + "Setophaga townsendi", + "Setophaga occidentalis", + "Setophaga chrysoparia", + "Setophaga virens", + "Cardellina canadensis", + "Cardellina rubra", + "Aphelocoma coerulescens", + "Melanerpes erythrocephalus", + "Emberiza calandra", + "Acanthis flammea", + "Spinus pinus", + "Thraupis abbas", + "Spinus psaltria", + "Spinus lawrencei", + "Spinus tristis", + "Threskiornis aethiopicus", + "Gygis alba", + "Tachycineta bicolor", + "Larus dominicanus dominicanus", + "Lonchura oryzivora", + "Haematopus palliatus", + "Chloris chloris", + "Accipiter cooperii", + "Vireo solitarius", + "Selasphorus platycercus", + "Chroicocephalus scopulinus", + "Aechmophorus occidentalis", + "Hemiphaga novaeseelandiae", + "Xema sabini", + "Ramphastos sulfuratus", + "Dacelo novaeguineae", + "Fulica atra", + "Hirundo rustica erythrogaster", + "Calypte costae", + "Calypte anna", + "Colaptes auratus cafer", + "Sula nebouxii", + "Copsychus saularis", + "Selasphorus sasin", + "Selasphorus rufus", + "Calothorax lucifer", + "Pycnonotus barbatus", + "Larus glaucescens \u00d7 occidentalis", + "Aphelocoma woodhouseii", + "Florisuga mellivora", + "Haematopus finschi", + "Falcipennis canadensis", + "Archilochus alexandri", + "Circus cyaneus", + "Ardea alba modesta", + "Myiarchus crinitus", + "Buteo regalis", + "Aeronautes saxatalis", + "Chaetura vauxi", + "Chaetura pelagica", + "Setophaga pensylvanica", + "Lanius ludovicianus", + "Anhinga anhinga", + "Acridotheres tristis", + "Sitta pygmaea", + "Actophilornis africanus", + "Sitta canadensis", + "Sitta europaea", + "Sitta pusilla", + "Apus apus", + "Sturnus vulgaris", + "Seiurus aurocapilla", + "Motacilla flava", + "Vireo griseus", + "Toxostoma longirostre", + "Calidris alba", + "Toxostoma redivivum", + "Gallinula galeata", + "Calidris himantopus", + "Eugenes fulgens", + "Icterus wagleri", + "Icterus parisorum", + "Buteo platypterus", + "Gallinago gallinago", + "Icterus spurius", + "Calidris minutilla", + "Dumetella carolinensis", + "Porphyrio hochstetteri", + "Calidris fuscicollis", + "Phalaropus tricolor", + "Colaptes auratus auratus", + "Melanotis caerulescens", + "Tiaris olivaceus", + "Oreoscoptes montanus", + "Limnodromus scolopaceus", + "Tringa solitaria", + "Sitta carolinensis", + "Tringa totanus", + "Dendrocygna autumnalis", + "Dendrocygna viduata", + "Dendrocygna bicolor", + "Icterus abeillei", + "Vanellus chilensis", + "Cygnus buccinator", + "Cygnus cygnus", + "Cygnus columbianus", + "Cygnus olor", + "Icterus galbula", + "Anas platyrhynchos", + "Anas acuta", + "Anas crecca", + "Anas cyanoptera", + "Anas fulvigula", + "Anas discors", + "Anas strepera", + "Anas clypeata", + "Anas chlorotis", + "Rhipidura leucophrys", + "Anas americana", + "Bucephala albeola", + "Mergus serrator", + "Mergus merganser", + "Anser anser", + "Anser albifrons", + "Somateria mollissima", + "Rallus obsoletus", + "Platycercus elegans", + "Melanitta fusca", + "Milvus migrans", + "Gelochelidon nilotica", + "Ninox novaeseelandiae novaeseelandiae", + "Melanitta perspicillata", + "Aythya collaris", + "Aythya ferina", + "Aythya fuligula", + "Numenius americanus", + "Chen caerulescens", + "Chamaea fasciata", + "Branta canadensis", + "Thalasseus elegans", + "Branta sandvicensis", + "Aythya americana", + "Aix sponsa", + "Lophodytes cucullatus", + "Histrionicus histrionicus", + "Aratinga nenday", + "Psittacara holochlorus", + "Cairina moschata", + "Netta rufina", + "Psittacara erythrogenys", + "Sayornis saya", + "Aythya valisineria", + "Picoides albolarvatus", + "Vermivora cyanoptera", + "Corvus caurinus", + "Asio otus", + "Corvus brachyrhynchos", + "Clangula hyemalis", + "Chenonetta jubata", + "Thalasseus sandvicensis", + "Eolophus roseicapilla", + "Colaptes rubiginosus", + "Meleagris gallopavo silvestris", + "Ptiliogonys cinereus", + "Elanoides forficatus", + "Carduelis carduelis", + "Cassiculus melanicterus", + "Dendragapus fuliginosus", + "Psaltriparus minimus", + "Aegithalos caudatus", + "Zosterops lateralis lateralis", + "Haliaeetus leucogaster", + "Uria aalge", + "Tringa semipalmata inornatus", + "Alauda arvensis", + "Galerida cristata", + "Delichon urbicum", + "Helmitheros vermivorum", + "Hylocharis leucotis", + "Mimus polyglottos", + "Gymnorhina tibicen", + "Alcedo atthis", + "Streptopelia chinensis", + "Bombycilla cedrorum", + "Bombycilla garrulus", + "Tadorna tadorna", + "Petroica australis australis", + "Amazona autumnalis", + "Dendragapus obscurus", + "Catherpes mexicanus", + "Tadorna ferruginea", + "Campylorhynchus brunneicapillus", + "Campylorhynchus rufinucha", + "Rhipidura fuliginosa", + "Polioptila melanura", + "Pelecanus occidentalis carolinensis", + "Melozone aberti", + "Melozone crissalis", + "Thryothorus ludovicianus", + "Parabuteo unicinctus", + "Anas platyrhynchos domesticus", + "Troglodytes aedon", + "Buteo lineatus elegans", + "Thamnophilus doliatus", + "Thryomanes bewickii", + "Tadorna variegata", + "Myioborus miniatus", + "Phalacrocorax varius varius", + "Myioborus pictus", + "Larus argentatus smithsonianus", + "Parkesia motacilla", + "Sula granti", + "Ara macao", + "Peucaea ruficauda", + "Calidris subruficollis", + "Phoenicopterus roseus", + "Morus bassanus", + "Pelecanus occidentalis californicus", + "Glaucidium brasilianum", + "Oxyura jamaicensis", + "Myiarchus cinerascens", + "Chloroceryle americana", + "Sturnella neglecta", + "Ramphastos ambiguus", + "Paroaria coronata", + "Buteo buteo", + "Myiodynastes luteiventris", + "Contopus sordidulus", + "Corvus corone", + "Cyanoramphus novaezelandiae", + "Contopus virens", + "Contopus pertinax", + "Contopus cooperi", + "Larus argentatus", + "Halcyon smyrnensis", + "Onychognathus morio", + "Cyanocompsa parellina", + "Cistothorus palustris", + "Tyto alba", + "Trogon caligatus", + "Corvus monedula", + "Corvus ossifragus", + "Spheniscus demersus", + "Corvus frugilegus", + "Corvus splendens", + "Branta bernicla", + "Larus hyperboreus", + "Columba livia domestica", + "Garrulus glandarius", + "Anser anser domesticus", + "Mitrephanes phaeocercus", + "Ardenna creatopus", + "Ardenna gravis", + "background" + ], + "input_size": 224, + "num_classes": 965, + "preprocess": { + "normalize": "none", + "scale": [ + 0.00392156862745098 + ], + "channels": "RGB", + "layout": "NHWC" + }, + "arch": "mobilenet_v2", + "source": "Google AIY Vision Classifier Birds V1 (aiy/vision/classifier/birds_V1) \u2014 MobileNetV2 trained on iNaturalist community photos; obtained via Kaggle Models google/aiy/tensorFlow1/vision-classifier-birds-v1", + "license": "Apache-2.0", + "output": "probabilities (softmax ALREADY applied in-graph \u2014 do NOT re-softmax)", + "background_class_index": 964, + "notes": "Class index == label id. Index 964 is 'background'. Names are scientific (Latin) species names." +} \ No newline at end of file diff --git a/animalClassification/bird-classifier/onnx/bird-classifier.onnx b/animalClassification/bird-classifier/onnx/bird-classifier.onnx new file mode 100644 index 0000000000000000000000000000000000000000..44eb640baf75498b2a26735ea1b43fbca5b4f2e5 --- /dev/null +++ b/animalClassification/bird-classifier/onnx/bird-classifier.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:64dd1b966628145219f2424b42b18b76b8dc33a0a9d9ce90b8c057397fa76da2 +size 13893131 diff --git a/animalClassification/bird-classifier/openvino/bird-classifier-labels.json b/animalClassification/bird-classifier/openvino/bird-classifier-labels.json new file mode 100644 index 0000000000000000000000000000000000000000..f54fcaf7e4a514c45dcb61b897a9aa9a1762040f --- /dev/null +++ b/animalClassification/bird-classifier/openvino/bird-classifier-labels.json @@ -0,0 +1,985 @@ +{ + "labels": [ + "Haemorhous cassinii", + "Aramus guarauna", + "Rupornis magnirostris", + "Cyanocitta cristata", + "Cyanocitta stelleri", + "Balearica regulorum", + "Pyrocephalus rubinus", + "Recurvirostra americana", + "Ardeotis kori", + "Pica nuttalli", + "Perisoreus canadensis", + "Antigone canadensis", + "Parkesia noveboracensis", + "Ardea herodias occidentalis", + "Porzana carolina", + "Anas platyrhynchos diazi", + "Motacilla cinerea", + "Empidonax difficilis", + "Empidonax minimus", + "Empidonax fulvifrons", + "Empidonax traillii", + "Empidonax hammondii", + "Empidonax occidentalis", + "Rallus limicola", + "Grus grus", + "Quiscalus major", + "Branta leucopsis", + "Cyanocorax yucatanicus", + "Cyanocorax yncas", + "Oceanites oceanicus", + "Quiscalus niger", + "Psilorhinus morio", + "Megarynchus pitangua", + "Gallinula tenebrosa", + "Gallus gallus domesticus", + "Numida meleagris", + "Junco hyemalis caniceps", + "Tyrannus vociferans", + "Tyrannus tyrannus", + "Tyrannus forficatus", + "Tyrannus crassirostris", + "Tyrannus verticalis", + "Tyrannus savana", + "Gallirallus australis", + "Calocitta formosa", + "Calocitta colliei", + "Fulica americana", + "Pachyramphus aglaiae", + "Buteo lagopus", + "Cygnus atratus", + "Philesturnus rufusater", + "Larus marinus", + "Pitangus sulphuratus", + "Anas rubripes", + "Anthus novaeseelandiae novaeseelandiae", + "Sayornis phoebe", + "Sayornis nigricans", + "Tityra semifasciata", + "Dryocopus lineatus", + "Porphyrio melanotus", + "Anas bahamensis", + "Egretta novaehollandiae", + "Anas crecca carolinensis", + "Alectoris chukar", + "Tachybaptus dominicus", + "Artemisiospiza belli", + "Gallus gallus", + "Cardinalis sinuatus", + "Cardinalis cardinalis", + "Melospiza lincolnii", + "Podilymbus podiceps", + "Melospiza georgiana", + "Meleagris gallopavo", + "Meleagris ocellata", + "Lagopus lagopus", + "Spizella atrogularis", + "Pyrrhocorax graculus", + "Spizella breweri", + "Sialia currucoides", + "Spizella pusilla", + "Anas superciliosa", + "Passerella iliaca", + "Phoenicopterus ruber", + "Sylvia atricapilla", + "Vireo bellii", + "Vireo plumbeus", + "Vireo philadelphicus", + "Vireo flavifrons", + "Vireo olivaceus", + "Zonotrichia querula", + "Vireo huttoni", + "Zonotrichia albicollis", + "Zonotrichia atricapilla", + "Emberiza citrinella", + "Bucephala islandica", + "Emberiza schoeniclus", + "Vireo gilvus", + "Serinus serinus", + "Serinus mozambicus", + "Lophura leucomelanos", + "Euphonia elegantissima", + "Euphonia hirundinacea", + "Euphonia affinis", + "Agelaius tricolor", + "Momotus lessonii", + "Zosterops japonicus", + "Phalacrocorax pelagicus", + "Icterus cucullatus", + "Icterus graduacauda", + "Motacilla aguimp", + "Anas superciliosa \u00d7 platyrhynchos", + "Icterus pustulatus", + "Icterus gularis", + "Carduelis cannabina", + "Catharus minimus", + "Amaurornis phoenicurus", + "Pavo cristatus", + "Rallus crepitans", + "Nestor meridionalis septentrionalis", + "Pipilo chlorurus", + "Pipilo maculatus", + "Pipilo erythrophthalmus", + "Cairina moschata domestica", + "Phalacrocorax varius", + "Picoides dorsalis", + "Picoides nuttallii", + "Picoides scalaris", + "Callipepla gambelii", + "Pyrrhula pyrrhula", + "Phalacrocorax brasilianus", + "Picoides pubescens", + "Colinus virginianus", + "Sporophila torqueola", + "Picoides villosus", + "Calidris pusilla", + "Picoides arcticus", + "Aythya marila", + "Phaethon aethereus", + "Sturnella magna", + "Melopsittacus undulatus", + "Aythya affinis", + "Aythya novaeseelandiae", + "Cyrtonyx montezumae", + "Pelecanus occidentalis", + "Cinclus cinclus", + "Chen rossii", + "Callipepla californica", + "Quiscalus quiscula", + "Quiscalus mexicanus", + "Callipepla squamata", + "Dryocopus pileatus", + "Passerina caerulea", + "Amazilia beryllina", + "Geothlypis trichas", + "Trogon melanocephalus", + "Sylvia communis", + "Pinicola enucleator", + "Coccothraustes vespertinus", + "Coccothraustes coccothraustes", + "Vermivora chrysoptera", + "Opisthocomus hoazin", + "Setophaga coronata coronata", + "Diglossa baritula", + "Saltator coerulescens", + "Saltator atriceps", + "Sicalis flaveola", + "Aix galericulata", + "Junco hyemalis hyemalis", + "Eupsittula canicularis", + "Microcarbo melanoleucos", + "Piranga rubra", + "Piranga olivacea", + "Piranga flava", + "Amphispiza bilineata", + "Larus dominicanus", + "Piaya cayana", + "Aimophila ruficeps", + "Melanerpes lewis", + "Melanerpes uropygialis", + "Passerculus sandwichensis", + "Melanerpes pucherani", + "Salpinctes obsoletus", + "Melanerpes carolinus", + "Melanerpes chrysogenys", + "Melanerpes formicivorus", + "Colaptes auratus", + "Basileuterus rufifrons", + "Larus michahellis", + "Ramphocelus passerinii", + "Athene cunicularia", + "Branta hutchinsii", + "Fringilla montifringilla", + "Fringilla coelebs", + "Junco hyemalis", + "Cuculus canorus", + "Junco phaeonotus", + "Ammodramus nelsoni", + "Ammodramus savannarum", + "Ammodramus maritimus", + "Coccyzus erythropthalmus", + "Coccyzus minor", + "Coccyzus americanus", + "Nucifraga columbiana", + "Crotophaga sulcirostris", + "Pooecetes gramineus", + "Arremonops rufivirgatus", + "Geococcyx californianus", + "Geococcyx velox", + "Coereba flaveola", + "Passerina ciris", + "Alectura lathami", + "Passerina leclancherii", + "Passerina amoena", + "Icteria virens", + "Crax rubra", + "Penelope purpurascens", + "Copsychus malabaricus", + "Paroaria capitata", + "Cyanerpes cyaneus", + "Microcarbo melanoleucos brevirostris", + "Sphyrapicus thyroideus", + "Pheucticus ludovicianus", + "Sphyrapicus ruber", + "Pheucticus melanocephalus", + "Sphyrapicus nuchalis", + "Ortalis poliocephala", + "Ortalis vetula", + "Corvus albus", + "Mniotilta varia", + "Volatinia jacarina", + "Thraupis palmarum", + "Momotus mexicanus", + "Euphagus cyanocephalus", + "Cacatua galerita", + "Junco hyemalis oreganus", + "Pluvialis fulva", + "Molothrus aeneus", + "Molothrus ater", + "Merops pusillus", + "Merops apiaster", + "Pteroglossus torquatus", + "Loxia curvirostra", + "Merops orientalis", + "Loxia leucoptera", + "Coracias garrulus", + "Coracias caudatus", + "Coracias benghalensis", + "Xanthocephalus xanthocephalus", + "Chondestes grammacus", + "Dolichonyx oryzivorus", + "Pandion haliaetus", + "Phainopepla nitens", + "Tyrannus couchii", + "Phylloscopus collybita", + "Circus cyaneus hudsonius", + "Grallina cyanoleuca", + "Plectrophenax nivalis", + "Calamospiza melanocorys", + "Regulus calendula", + "Regulus ignicapilla", + "Regulus regulus", + "Regulus satrapa", + "Tyrannus melancholicus", + "Pelecanus conspicillatus", + "Aulacorhynchus prasinus", + "Todiramphus sanctus", + "Icterus bullockii", + "Spiza americana", + "Tyrannus dominicensis", + "Chlidonias niger", + "Oriturus superciliosus", + "Psarocolius montezuma", + "Turdus pilaris", + "Notiomystis cincta", + "Sagittarius serpentarius", + "Psittacula krameri", + "Platycercus eximius", + "Protonotaria citrea", + "Megaceryle torquata", + "Nestor meridionalis", + "Amazona viridigenalis", + "Amazona albifrons", + "Amazona oratrix", + "Saxicola rubetra", + "Ara militaris", + "Spizelloides arborea", + "Ceryle rudis", + "Chloroceryle aenea", + "Chloroceryle amazona", + "Myiozetetes similis", + "Toxostoma curvirostre", + "Megaceryle alcyon", + "Eremophila alpestris", + "Alisterus scapularis", + "Cinnyris jugularis", + "Xiphorhynchus flavigaster", + "Jacana jacana", + "Phalaropus fulicarius", + "Streptopelia turtur", + "Pica hudsonia", + "Corvus cornix", + "Myiopsitta monachus", + "Streptopelia decaocto", + "Piranga ludoviciana", + "Ixobrychus exilis", + "Auriparus flaviceps", + "Geothlypis tolmiei", + "Columba livia", + "Setophaga citrina", + "Setophaga cerulea", + "Columba palumbus", + "Piranga bidentata", + "Patagioenas leucocephala", + "Patagioenas fasciata", + "Patagioenas flavirostris", + "Setophaga discolor", + "Chordeiles minor", + "Chordeiles acutipennis", + "Platalea leucorodia", + "Phalaenoptilus nuttallii", + "Haemorhous mexicanus", + "Haemorhous purpureus", + "Nyctidromus albicollis", + "Campephilus guatemalensis", + "Toxostoma rufum", + "Leptotila verreauxi", + "Nyctibius jamaicensis", + "Anas penelope", + "Buteo plagiatus", + "Selasphorus calliope", + "Megascops kennicottii", + "Porphyrio poliocephalus", + "Megascops asio", + "Zenaida auriculata", + "Hymenolaimus malacorhynchos", + "Setophaga caerulescens", + "Camptostoma imberbe", + "Caracara plancus", + "Columbina passerina", + "Eupsittula nana", + "Nestor notabilis", + "Columbina talpacoti", + "Geopelia striata", + "Athene noctua", + "Crotophaga ani", + "Sialia sialis", + "Platalea alba", + "Bubo virginianus", + "Petrochelidon fulva", + "Progne subis", + "Setophaga coronata auduboni", + "Hirundo neoxena", + "Hirundo rustica", + "Calidris virgata", + "Calidris pugnax", + "Platalea regia", + "Tachycineta thalassina", + "Bostrychia hagedash", + "Riparia riparia", + "Eudocimus albus", + "Plegadis falcinellus", + "Plegadis chihi", + "Corvus corax", + "Stelgidopteryx serripennis", + "Sula dactylatra", + "Sula sula", + "Sula leucogaster", + "Morus serrator", + "Eudyptula minor", + "Megadyptes antipodes", + "Scopus umbretta", + "Troglodytes troglodytes", + "Calidris canutus", + "Lanius collurio", + "Calidris bairdii", + "Meleagris gallopavo intermedia", + "Calidris mauri", + "Calidris maritima", + "Calidris alpina", + "Calidris ferruginea", + "Calidris melanotos", + "Limnodromus griseus", + "Malurus cyaneus", + "Tringa nebularia", + "Todiramphus sanctus vagans", + "Tringa ochropus", + "Tringa glareola", + "Tringa melanoleuca", + "Tringa flavipes", + "Numenius arquata", + "Numenius phaeopus", + "Phalacrocorax carbo novaehollandiae", + "Petroica macrocephala macrocephala", + "Petroica australis longipes", + "Prosthemadera novaeseelandiae novaeseelandiae", + "Asio flammeus", + "Rhipidura fuliginosa fuliginosa", + "Scolopax minor", + "Arenaria interpres", + "Arenaria melanocephala", + "Rhipidura fuliginosa placabilis", + "Limosa limosa", + "Limosa haemastica", + "Limosa fedoa", + "Phalaropus lobatus", + "Bartramia longicauda", + "Limosa lapponica", + "Aegolius acadicus", + "Actitis hypoleucos", + "Trichoglossus haematodus", + "Surnia ulula", + "Polioptila caerulea", + "Spizella passerina", + "Pycnonotus jocosus", + "Passerina cyanea", + "Passerina versicolor", + "Manorina melanocephala", + "Ocyphaps lophotes", + "Jabiru mycteria", + "Pycnonotus cafer", + "Anser cygnoides domesticus", + "Picus viridis", + "Phoebastria nigripes", + "Struthio camelus", + "Phoebastria immutabilis", + "Fulmarus glacialis", + "Francolinus pondicerianus", + "Cynanthus latirostris", + "Podiceps nigricollis", + "Podiceps cristatus", + "Podiceps auritus", + "Dendrocopos major", + "Podiceps grisegena", + "Tachybaptus ruficollis", + "Charadrius montanus", + "Phalacrocorax auritus", + "Phalacrocorax carbo", + "Phalacrocorax penicillatus", + "Aechmophorus clarkii", + "Pelecanus onocrotalus", + "Pelecanus erythrorhynchos", + "Zenaida macroura", + "Vanellus miles", + "Larus occidentalis", + "Trogon massena", + "Larus thayeri", + "Larus heermanni", + "Larus livens", + "Larus canus", + "Larus glaucoides", + "Larus delawarensis", + "Trogon collaris", + "Zenaida asiatica", + "Larus fuscus", + "Larus californicus", + "Prosthemadera novaeseelandiae", + "Trogon elegans", + "Larus glaucescens", + "Trogon citreolus", + "Cepphus columba", + "Himantopus leucocephalus", + "Cepphus grylle", + "Anthornis melanura", + "Leptoptilos crumenifer", + "Threskiornis moluccus", + "Thraupis episcopus", + "Geranoaetus albicaudatus", + "Sterna paradisaea", + "Sterna hirundo", + "Sterna forsteri", + "Lanius excubitor", + "Pharomachrus mocinno", + "Sterna striata", + "Stercorarius parasiticus", + "Stercorarius pomarinus", + "Anas gracilis", + "Rissa tridactyla", + "Rynchops niger", + "Alca torda", + "Fratercula arctica", + "Fratercula cirrhata", + "Turdus merula", + "Turdus plumbeus", + "Turdus grayi", + "Turdus migratorius", + "Turdus viscivorus", + "Cerorhinca monocerata", + "Turdus philomelos", + "Galbula ruficauda", + "Jacana spinosa", + "Saxicola rubicola", + "Upupa epops", + "Euphagus carolinus", + "Gavia pacifica", + "Mimus gilvus", + "Passer italiae", + "Gavia immer", + "Gavia stellata", + "Oenanthe oenanthe", + "Fregata magnificens", + "Fregata minor", + "Falco subbuteo", + "Falco mexicanus", + "Falco femoralis", + "Falco peregrinus", + "Falco rufigularis", + "Falco sparverius", + "Strix varia", + "Falco columbarius", + "Gallinula chloropus", + "Cardellina pusilla", + "Catharus ustulatus", + "Falco novaeseelandiae", + "Catharus guttatus", + "Catharus fuscescens", + "Caracara cheriway", + "Herpetotheres cachinnans", + "Calcarius lapponicus", + "Milvago chimachima", + "Ciconia ciconia", + "Mycteria americana", + "Mycteria ibis", + "Sialia mexicana", + "Ephippiorhynchus senegalensis", + "Cathartes aura", + "Myadestes townsendi", + "Cathartes burrovianus", + "Sarcoramphus papa", + "Coragyps atratus", + "Strix nebulosa", + "Anastomus lamelligerus", + "Pluvialis squatarola", + "Gymnogyps californianus", + "Muscicapa striata", + "Charadrius vociferus", + "Charadrius wilsonia", + "Charadrius melodus", + "Phoenicurus phoenicurus", + "Phoenicurus ochruros", + "Charadrius dubius", + "Eumomota superciliosa", + "Anas querquedula", + "Himantopus mexicanus", + "Haematopus bachmani", + "Pica pica", + "Haematopus ostralegus", + "Haematopus unicolor", + "Vanellus vanellus", + "Vanellus spinosus", + "Vanellus armatus", + "Luscinia svecica", + "Columbina inca", + "Recurvirostra avosetta", + "Phasianus colchicus", + "Pluvialis dominica", + "Cinclus mexicanus", + "Erithacus rubecula", + "Melanerpes aurifrons", + "Charadrius hiaticula", + "Egretta gularis", + "Egretta caerulea", + "Egretta tricolor", + "Egretta thula", + "Egretta garzetta", + "Egretta sacra", + "Monticola solitarius", + "Ardea cocoi", + "Ardea cinerea", + "Ardea herodias", + "Nycticorax nycticorax", + "Turdus rufopalliatus", + "Ardeola ralloides", + "Nyctanassa violacea", + "Aramides cajaneus", + "Bubulcus ibis", + "Butorides virescens", + "Porphyrio martinicus", + "Botaurus lentiginosus", + "Cochlearius cochlearius", + "Anhinga novaehollandiae", + "Anhinga rufa", + "Melozone fusca", + "Aquila chrysaetos", + "Hylocichla mustelina", + "Aphelocoma wollweberi", + "Accipiter striatus", + "Accipiter nisus", + "Accipiter gentilis", + "Egretta rufescens", + "Bucephala clangula", + "Anous stolidus", + "Actitis macularius", + "Ardea purpurea", + "Todiramphus chloris", + "Grus americana", + "Himantopus himantopus", + "Glaucidium gnoma", + "Circus approximans", + "Circus aeruginosus", + "Phalacrocorax sulcirostris", + "Buteo albonotatus", + "Butorides striata", + "Platalea ajaja", + "Buteo brachyurus", + "Ardea alba", + "Buteo swainsoni", + "Alectoris rufa", + "Buteo lineatus", + "Buteo jamaicensis", + "Charadrius nivosus", + "Tringa incana", + "Tringa semipalmata", + "Terathopius ecaudatus", + "Gallinago delicata", + "Buteogallus anthracinus", + "Chroicocephalus philadelphia", + "Circaetus gallicus", + "Chroicocephalus novaehollandiae", + "Chroicocephalus ridibundus", + "Leucophaeus atricilla", + "Leucophaeus pipixcan", + "Onychoprion fuscatus", + "Sternula antillarum", + "Hydroprogne caspia", + "Thalasseus maximus", + "Thalasseus bergii", + "Elanus leucurus", + "Alopochen aegyptiaca", + "Streptopelia senegalensis", + "Gerygone igata", + "Haliaeetus leucocephalus", + "Cistothorus platensis", + "Haliaeetus vocifer", + "Bubo scandiacus", + "Ciccaba virgata", + "Bonasa umbellus", + "Busarellus nigricollis", + "Rostrhamus sociabilis", + "Milvus milvus", + "Gyps fulvus", + "Ficedula hypoleuca", + "Momotus coeruliceps", + "Charadrius semipalmatus", + "Haliastur indus", + "Gyps africanus", + "Ictinia mississippiensis", + "Dives dives", + "Baeolophus atricristatus", + "Baeolophus bicolor", + "Baeolophus inornatus", + "Melospiza melodia", + "Spinus spinus", + "Motacilla alba", + "Certhia americana", + "Bucorvus leadbeateri", + "Anthus pratensis", + "Anthus rubescens", + "Tachycineta albilinea", + "Poecile carolinensis", + "Poecile atricapillus", + "Poecile gambeli", + "Poecile rufescens", + "Periparus ater", + "Chlorophanes spiza", + "Estrilda astrild", + "Cyanistes caeruleus", + "Sphyrapicus varius", + "Petrochelidon pyrrhonota", + "Troglodytes pacificus", + "Troglodytes hiemalis", + "Passer montanus", + "Passer domesticus", + "Aphelocoma californica", + "Amazilia yucatanensis", + "Amazilia tzacatl", + "Dicrurus adsimilis", + "Amazilia violiceps", + "Lonchura punctulata", + "Tigrisoma mexicanum", + "Porphyrio melanotus melanotus", + "Melanitta americana", + "Spizella pallida", + "Amazilia rutila", + "Zenaida aurita", + "Prunella modularis", + "Falco tinnunculus", + "Ixoreus naevius", + "Archilochus colubris", + "Lampornis clemenciae", + "Myiarchus tuberculifer", + "Setophaga ruticilla", + "Myiarchus tyrannulus", + "Zosterops lateralis", + "Zonotrichia leucophrys", + "Agelaius phoeniceus", + "Parus major", + "Zonotrichia capensis", + "Oreothlypis peregrina", + "Oreothlypis celata", + "Oreothlypis ruficapilla", + "Geothlypis philadelphia", + "Geothlypis formosa", + "Setophaga tigrina", + "Setophaga americana", + "Setophaga magnolia", + "Setophaga castanea", + "Setophaga fusca", + "Setophaga petechia", + "Setophaga striata", + "Setophaga palmarum", + "Setophaga pinus", + "Setophaga coronata", + "Setophaga dominica", + "Campylopterus hemileucurus", + "Vireo cassinii", + "Setophaga nigrescens", + "Setophaga townsendi", + "Setophaga occidentalis", + "Setophaga chrysoparia", + "Setophaga virens", + "Cardellina canadensis", + "Cardellina rubra", + "Aphelocoma coerulescens", + "Melanerpes erythrocephalus", + "Emberiza calandra", + "Acanthis flammea", + "Spinus pinus", + "Thraupis abbas", + "Spinus psaltria", + "Spinus lawrencei", + "Spinus tristis", + "Threskiornis aethiopicus", + "Gygis alba", + "Tachycineta bicolor", + "Larus dominicanus dominicanus", + "Lonchura oryzivora", + "Haematopus palliatus", + "Chloris chloris", + "Accipiter cooperii", + "Vireo solitarius", + "Selasphorus platycercus", + "Chroicocephalus scopulinus", + "Aechmophorus occidentalis", + "Hemiphaga novaeseelandiae", + "Xema sabini", + "Ramphastos sulfuratus", + "Dacelo novaeguineae", + "Fulica atra", + "Hirundo rustica erythrogaster", + "Calypte costae", + "Calypte anna", + "Colaptes auratus cafer", + "Sula nebouxii", + "Copsychus saularis", + "Selasphorus sasin", + "Selasphorus rufus", + "Calothorax lucifer", + "Pycnonotus barbatus", + "Larus glaucescens \u00d7 occidentalis", + "Aphelocoma woodhouseii", + "Florisuga mellivora", + "Haematopus finschi", + "Falcipennis canadensis", + "Archilochus alexandri", + "Circus cyaneus", + "Ardea alba modesta", + "Myiarchus crinitus", + "Buteo regalis", + "Aeronautes saxatalis", + "Chaetura vauxi", + "Chaetura pelagica", + "Setophaga pensylvanica", + "Lanius ludovicianus", + "Anhinga anhinga", + "Acridotheres tristis", + "Sitta pygmaea", + "Actophilornis africanus", + "Sitta canadensis", + "Sitta europaea", + "Sitta pusilla", + "Apus apus", + "Sturnus vulgaris", + "Seiurus aurocapilla", + "Motacilla flava", + "Vireo griseus", + "Toxostoma longirostre", + "Calidris alba", + "Toxostoma redivivum", + "Gallinula galeata", + "Calidris himantopus", + "Eugenes fulgens", + "Icterus wagleri", + "Icterus parisorum", + "Buteo platypterus", + "Gallinago gallinago", + "Icterus spurius", + "Calidris minutilla", + "Dumetella carolinensis", + "Porphyrio hochstetteri", + "Calidris fuscicollis", + "Phalaropus tricolor", + "Colaptes auratus auratus", + "Melanotis caerulescens", + "Tiaris olivaceus", + "Oreoscoptes montanus", + "Limnodromus scolopaceus", + "Tringa solitaria", + "Sitta carolinensis", + "Tringa totanus", + "Dendrocygna autumnalis", + "Dendrocygna viduata", + "Dendrocygna bicolor", + "Icterus abeillei", + "Vanellus chilensis", + "Cygnus buccinator", + "Cygnus cygnus", + "Cygnus columbianus", + "Cygnus olor", + "Icterus galbula", + "Anas platyrhynchos", + "Anas acuta", + "Anas crecca", + "Anas cyanoptera", + "Anas fulvigula", + "Anas discors", + "Anas strepera", + "Anas clypeata", + "Anas chlorotis", + "Rhipidura leucophrys", + "Anas americana", + "Bucephala albeola", + "Mergus serrator", + "Mergus merganser", + "Anser anser", + "Anser albifrons", + "Somateria mollissima", + "Rallus obsoletus", + "Platycercus elegans", + "Melanitta fusca", + "Milvus migrans", + "Gelochelidon nilotica", + "Ninox novaeseelandiae novaeseelandiae", + "Melanitta perspicillata", + "Aythya collaris", + "Aythya ferina", + "Aythya fuligula", + "Numenius americanus", + "Chen caerulescens", + "Chamaea fasciata", + "Branta canadensis", + "Thalasseus elegans", + "Branta sandvicensis", + "Aythya americana", + "Aix sponsa", + "Lophodytes cucullatus", + "Histrionicus histrionicus", + "Aratinga nenday", + "Psittacara holochlorus", + "Cairina moschata", + "Netta rufina", + "Psittacara erythrogenys", + "Sayornis saya", + "Aythya valisineria", + "Picoides albolarvatus", + "Vermivora cyanoptera", + "Corvus caurinus", + "Asio otus", + "Corvus brachyrhynchos", + "Clangula hyemalis", + "Chenonetta jubata", + "Thalasseus sandvicensis", + "Eolophus roseicapilla", + "Colaptes rubiginosus", + "Meleagris gallopavo silvestris", + "Ptiliogonys cinereus", + "Elanoides forficatus", + "Carduelis carduelis", + "Cassiculus melanicterus", + "Dendragapus fuliginosus", + "Psaltriparus minimus", + "Aegithalos caudatus", + "Zosterops lateralis lateralis", + "Haliaeetus leucogaster", + "Uria aalge", + "Tringa semipalmata inornatus", + "Alauda arvensis", + "Galerida cristata", + "Delichon urbicum", + "Helmitheros vermivorum", + "Hylocharis leucotis", + "Mimus polyglottos", + "Gymnorhina tibicen", + "Alcedo atthis", + "Streptopelia chinensis", + "Bombycilla cedrorum", + "Bombycilla garrulus", + "Tadorna tadorna", + "Petroica australis australis", + "Amazona autumnalis", + "Dendragapus obscurus", + "Catherpes mexicanus", + "Tadorna ferruginea", + "Campylorhynchus brunneicapillus", + "Campylorhynchus rufinucha", + "Rhipidura fuliginosa", + "Polioptila melanura", + "Pelecanus occidentalis carolinensis", + "Melozone aberti", + "Melozone crissalis", + "Thryothorus ludovicianus", + "Parabuteo unicinctus", + "Anas platyrhynchos domesticus", + "Troglodytes aedon", + "Buteo lineatus elegans", + "Thamnophilus doliatus", + "Thryomanes bewickii", + "Tadorna variegata", + "Myioborus miniatus", + "Phalacrocorax varius varius", + "Myioborus pictus", + "Larus argentatus smithsonianus", + "Parkesia motacilla", + "Sula granti", + "Ara macao", + "Peucaea ruficauda", + "Calidris subruficollis", + "Phoenicopterus roseus", + "Morus bassanus", + "Pelecanus occidentalis californicus", + "Glaucidium brasilianum", + "Oxyura jamaicensis", + "Myiarchus cinerascens", + "Chloroceryle americana", + "Sturnella neglecta", + "Ramphastos ambiguus", + "Paroaria coronata", + "Buteo buteo", + "Myiodynastes luteiventris", + "Contopus sordidulus", + "Corvus corone", + "Cyanoramphus novaezelandiae", + "Contopus virens", + "Contopus pertinax", + "Contopus cooperi", + "Larus argentatus", + "Halcyon smyrnensis", + "Onychognathus morio", + "Cyanocompsa parellina", + "Cistothorus palustris", + "Tyto alba", + "Trogon caligatus", + "Corvus monedula", + "Corvus ossifragus", + "Spheniscus demersus", + "Corvus frugilegus", + "Corvus splendens", + "Branta bernicla", + "Larus hyperboreus", + "Columba livia domestica", + "Garrulus glandarius", + "Anser anser domesticus", + "Mitrephanes phaeocercus", + "Ardenna creatopus", + "Ardenna gravis", + "background" + ], + "input_size": 224, + "num_classes": 965, + "preprocess": { + "normalize": "none", + "scale": [ + 0.00392156862745098 + ], + "channels": "RGB", + "layout": "NHWC" + }, + "arch": "mobilenet_v2", + "source": "Google AIY Vision Classifier Birds V1 (aiy/vision/classifier/birds_V1) \u2014 MobileNetV2 trained on iNaturalist community photos; obtained via Kaggle Models google/aiy/tensorFlow1/vision-classifier-birds-v1", + "license": "Apache-2.0", + "output": "probabilities (softmax ALREADY applied in-graph \u2014 do NOT re-softmax)", + "background_class_index": 964, + "notes": "Class index == label id. Index 964 is 'background'. Names are scientific (Latin) species names." +} \ No newline at end of file diff --git a/animalClassification/bird-classifier/openvino/bird-classifier.bin b/animalClassification/bird-classifier/openvino/bird-classifier.bin new file mode 100644 index 0000000000000000000000000000000000000000..1f5b39ca304e28e5cbb4b68e20ef94e2ccf057af --- /dev/null +++ b/animalClassification/bird-classifier/openvino/bird-classifier.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bef863425e1774fba8bf8809a4d690466eeaf183e8d9278493a584a436304339 +size 13772216 diff --git a/animalClassification/bird-classifier/openvino/bird-classifier.xml b/animalClassification/bird-classifier/openvino/bird-classifier.xml new file mode 100644 index 0000000000000000000000000000000000000000..d5dff0c2246b01b834708d1410ef58c145373493 --- /dev/null +++ b/animalClassification/bird-classifier/openvino/bird-classifier.xml @@ -0,0 +1,11007 @@ + + + + + + + + -1 + 224 + 224 + 3 + + + + + + + + 1 + 1 + 1 + 1 + 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+1,16 @@ + + +# audioClassification/yamnet: YAMNet, audio classification + +| | | +| --- | --- | +| Catalog id | `yamnet-onnx` (521 AudioSet classes) | +| Upstream | tensorflow/models, `research/audioset/yamnet`: https://github.com/tensorflow/models/tree/master/research/audioset/yamnet | +| Obtained from | the YAMNet TensorFlow model; `tf/` holds the TensorFlow SavedModel the conversion was made from | +| Code licence | Apache-2.0 | +| **Weights licence** | Apache-2.0 ([`LICENSES/Apache-2.0.txt`](../../LICENSES/Apache-2.0.txt)) | +| Training data | AudioSet ontology and labels © Google LLC, CC BY 4.0 ([`LICENSES/CC-BY-4.0.txt`](../../LICENSES/CC-BY-4.0.txt)), https://research.google.com/audioset/ | +| CamStack modifications | converted from TensorFlow with tf2onnx; OpenVINO IR derived from the ONNX | +| Commercial use | permitted by Apache-2.0 | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/audioClassification/yamnet/camstack-yamnet-labels.json b/audioClassification/yamnet/camstack-yamnet-labels.json new file mode 100644 index 0000000000000000000000000000000000000000..ee5d3bc809c28455ea87040f716151b175735599 --- /dev/null +++ b/audioClassification/yamnet/camstack-yamnet-labels.json @@ -0,0 +1 @@ +["Speech", "Child speech, kid speaking", "Conversation", "Narration, monologue", "Babbling", "Speech synthesizer", "Shout", "Bellow", "Whoop", "Yell", "Children shouting", "Screaming", "Whispering", "Laughter", "Baby laughter", "Giggle", "Snicker", "Belly laugh", "Chuckle, chortle", "Crying, sobbing", "Baby cry, infant cry", "Whimper", "Wail, moan", "Sigh", "Singing", "Choir", "Yodeling", "Chant", "Mantra", "Child singing", "Synthetic singing", "Rapping", "Humming", "Groan", "Grunt", "Whistling", "Breathing", "Wheeze", "Snoring", "Gasp", "Pant", "Snort", "Cough", "Throat clearing", "Sneeze", "Sniff", "Run", "Shuffle", "Walk, footsteps", "Chewing, mastication", "Biting", "Gargling", "Stomach rumble", "Burping, eructation", "Hiccup", "Fart", "Hands", "Finger snapping", "Clapping", "Heart sounds, heartbeat", "Heart murmur", "Cheering", "Applause", "Chatter", "Crowd", "Hubbub, speech noise, speech babble", "Children playing", "Animal", "Domestic animals, pets", "Dog", "Bark", "Yip", "Howl", "Bow-wow", "Growling", "Whimper (dog)", "Cat", "Purr", "Meow", "Hiss", "Caterwaul", "Livestock, farm animals, working animals", "Horse", "Clip-clop", "Neigh, whinny", "Cattle, bovinae", "Moo", "Cowbell", "Pig", "Oink", "Goat", "Bleat", "Sheep", "Fowl", "Chicken, rooster", "Cluck", "Crowing, cock-a-doodle-doo", "Turkey", "Gobble", "Duck", "Quack", "Goose", "Honk", "Wild animals", "Roaring cats (lions, tigers)", "Roar", "Bird", "Bird vocalization, bird call, bird song", "Chirp, tweet", "Squawk", "Pigeon, dove", "Coo", "Crow", "Caw", "Owl", "Hoot", "Bird flight, flapping wings", "Canidae, dogs, wolves", "Rodents, rats, mice", "Mouse", "Patter", "Insect", "Cricket", "Mosquito", "Fly, housefly", "Buzz", "Bee, wasp, etc.", "Frog", "Croak", "Snake", "Rattle", "Whale vocalization", "Music", "Musical instrument", "Plucked string instrument", "Guitar", "Electric guitar", "Bass guitar", "Acoustic guitar", "Steel guitar, slide guitar", "Tapping (guitar technique)", "Strum", "Banjo", "Sitar", "Mandolin", "Zither", "Ukulele", "Keyboard (musical)", "Piano", "Electric piano", "Organ", "Electronic organ", "Hammond organ", "Synthesizer", "Sampler", "Harpsichord", "Percussion", "Drum kit", "Drum machine", "Drum", "Snare drum", "Rimshot", "Drum roll", "Bass drum", "Timpani", "Tabla", "Cymbal", "Hi-hat", "Wood block", "Tambourine", "Rattle (instrument)", "Maraca", "Gong", "Tubular bells", "Mallet percussion", "Marimba, xylophone", "Glockenspiel", "Vibraphone", "Steelpan", "Orchestra", "Brass instrument", "French horn", "Trumpet", "Trombone", "Bowed string instrument", "String section", "Violin, fiddle", "Pizzicato", "Cello", "Double bass", "Wind instrument, woodwind instrument", "Flute", "Saxophone", "Clarinet", "Harp", "Bell", "Church bell", "Jingle bell", "Bicycle bell", "Tuning fork", "Chime", "Wind chime", "Change ringing (campanology)", "Harmonica", "Accordion", "Bagpipes", "Didgeridoo", "Shofar", "Theremin", "Singing bowl", "Scratching (performance technique)", "Pop music", "Hip hop music", "Beatboxing", "Rock music", "Heavy metal", "Punk rock", "Grunge", "Progressive rock", "Rock and roll", "Psychedelic rock", "Rhythm and blues", "Soul music", "Reggae", "Country", "Swing music", "Bluegrass", "Funk", "Folk music", "Middle Eastern music", "Jazz", "Disco", "Classical music", "Opera", "Electronic music", "House music", "Techno", "Dubstep", "Drum and bass", "Electronica", "Electronic dance music", "Ambient music", "Trance music", "Music of Latin America", "Salsa music", "Flamenco", "Blues", "Music for children", "New-age music", "Vocal music", "A capella", "Music of Africa", "Afrobeat", "Christian music", "Gospel music", "Music of Asia", "Carnatic music", "Music of Bollywood", "Ska", "Traditional music", "Independent music", "Song", "Background music", "Theme music", "Jingle (music)", "Soundtrack music", "Lullaby", "Video game music", "Christmas music", "Dance music", "Wedding music", "Happy music", "Sad music", "Tender music", "Exciting music", "Angry music", "Scary music", "Wind", "Rustling leaves", "Wind noise (microphone)", "Thunderstorm", "Thunder", "Water", "Rain", "Raindrop", "Rain on surface", "Stream", "Waterfall", "Ocean", "Waves, surf", "Steam", "Gurgling", "Fire", "Crackle", "Vehicle", "Boat, Water vehicle", "Sailboat, sailing ship", "Rowboat, canoe, kayak", "Motorboat, speedboat", "Ship", "Motor vehicle (road)", "Car", "Vehicle horn, car horn, honking", "Toot", "Car alarm", "Power windows, electric windows", "Skidding", "Tire squeal", "Car passing by", "Race car, auto racing", "Truck", "Air brake", "Air horn, truck horn", "Reversing beeps", "Ice cream truck, ice cream van", "Bus", "Emergency vehicle", "Police car (siren)", "Ambulance (siren)", "Fire engine, fire truck (siren)", "Motorcycle", "Traffic noise, roadway noise", "Rail transport", "Train", "Train whistle", "Train horn", "Railroad car, train wagon", "Train wheels squealing", "Subway, metro, underground", "Aircraft", "Aircraft engine", "Jet engine", "Propeller, airscrew", "Helicopter", "Fixed-wing aircraft, airplane", "Bicycle", "Skateboard", "Engine", "Light engine (high frequency)", "Dental drill, dentist's drill", "Lawn mower", "Chainsaw", "Medium engine (mid frequency)", "Heavy engine (low frequency)", "Engine knocking", "Engine starting", "Idling", "Accelerating, revving, vroom", "Door", "Doorbell", "Ding-dong", "Sliding door", "Slam", "Knock", "Tap", "Squeak", "Cupboard open or close", "Drawer open or close", "Dishes, pots, and pans", "Cutlery, silverware", "Chopping (food)", "Frying (food)", "Microwave oven", "Blender", "Water tap, faucet", "Sink (filling or washing)", "Bathtub (filling or washing)", "Hair dryer", "Toilet flush", "Toothbrush", "Electric toothbrush", "Vacuum cleaner", "Zipper (clothing)", "Keys jangling", "Coin (dropping)", "Scissors", "Electric shaver, electric razor", "Shuffling cards", "Typing", "Typewriter", "Computer keyboard", "Writing", "Alarm", "Telephone", "Telephone bell ringing", "Ringtone", "Telephone dialing, DTMF", "Dial tone", "Busy signal", "Alarm clock", "Siren", "Civil defense siren", "Buzzer", "Smoke detector, smoke alarm", "Fire alarm", "Foghorn", "Whistle", "Steam whistle", "Mechanisms", "Ratchet, pawl", "Clock", "Tick", "Tick-tock", "Gears", "Pulleys", "Sewing machine", "Mechanical fan", "Air conditioning", "Cash register", "Printer", "Camera", "Single-lens reflex camera", "Tools", "Hammer", "Jackhammer", "Sawing", "Filing (rasp)", "Sanding", "Power tool", "Drill", "Explosion", "Gunshot, gunfire", "Machine gun", "Fusillade", "Artillery fire", "Cap gun", "Fireworks", "Firecracker", "Burst, pop", "Eruption", "Boom", "Wood", "Chop", "Splinter", "Crack", "Glass", "Chink, clink", "Shatter", "Liquid", "Splash, splatter", "Slosh", "Squish", "Drip", "Pour", "Trickle, dribble", "Gush", "Fill (with liquid)", "Spray", "Pump (liquid)", "Stir", "Boiling", "Sonar", "Arrow", "Whoosh, swoosh, swish", "Thump, thud", "Thunk", "Electronic tuner", "Effects unit", "Chorus effect", "Basketball bounce", "Bang", "Slap, smack", "Whack, thwack", "Smash, crash", "Breaking", "Bouncing", "Whip", "Flap", "Scratch", "Scrape", "Rub", "Roll", "Crushing", "Crumpling, crinkling", "Tearing", "Beep, bleep", "Ping", "Ding", "Clang", "Squeal", "Creak", "Rustle", "Whir", "Clatter", "Sizzle", "Clicking", "Clickety-clack", "Rumble", "Plop", "Jingle, tinkle", "Hum", "Zing", "Boing", "Crunch", "Silence", "Sine wave", "Harmonic", "Chirp tone", "Sound effect", "Pulse", "Inside, small room", "Inside, large room or hall", "Inside, public space", "Outside, urban or manmade", "Outside, rural or natural", "Reverberation", "Echo", "Noise", "Environmental noise", "Static", "Mains hum", "Distortion", "Sidetone", "Cacophony", "White noise", "Pink noise", "Throbbing", "Vibration", "Television", "Radio", "Field recording"] \ No newline at end of file diff --git a/audioClassification/yamnet/onnx/camstack-yamnet.onnx b/audioClassification/yamnet/onnx/camstack-yamnet.onnx new file mode 100644 index 0000000000000000000000000000000000000000..1d3eae7471d4c871ef100e798c5cd423a36ca8bc --- /dev/null +++ b/audioClassification/yamnet/onnx/camstack-yamnet.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d7459a0aefffef8c1ccc60c8e0a0f0758a724fc1b55b47194b418029e938ea26 +size 16093538 diff --git a/audioClassification/yamnet/openvino/camstack-yamnet.bin b/audioClassification/yamnet/openvino/camstack-yamnet.bin new file mode 100644 index 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CamStack build + +Google SigLIP2 base (patch 16, 224×224) image and text encoders, re-packaged for +the CamStack inference pool and embedding encoder. 768-dimensional embeddings. +Selectable on the `clip-embedding` step as `siglip2-b16-224` (image) with the +text encoder `siglip2-b16-224-text`. + +| Tower | Format | File | Precision | +| --- | --- | --- | --- | +| vision | ONNX | `onnx/camstack-siglip2-b16-224-vision.onnx` | fp32 (reference; not in the catalog) | +| vision | OpenVINO IR | `openvino/camstack-siglip2-b16-224-vision.{xml,bin}` | fp16 | +| vision | CoreML | `coreml/camstack-siglip2-b16-224-vision.mlpackage` | fp16 | +| text | ONNX | `onnx/camstack-siglip2-b16-224-text.onnx` | fp16 weights, fp32 I/O | +| text | OpenVINO IR | `openvino/camstack-siglip2-b16-224-text.{xml,bin}` | fp16 | +| text | CoreML | `coreml/camstack-siglip2-b16-224-text.mlpackage` | fp16, `input_ids` int32 [1,64] | +| tokenizer | HF `tokenizers` | `onnx/camstack-siglip2-b16-224-tokenizer.json` | — | + +## Source + +- Model: `google/siglip2-base-patch16-224`, + , revision + `75de2d55ec2d0b4efc50b3e9ad70dba96a7b2fa2`. Licence: Apache-2.0 (model card + `license: apache-2.0`). +- Code: (Apache-2.0). +- Paper: Tschannen et al., "SigLIP 2: Multilingual Vision-Language Encoders with + Improved Semantic Understanding, Localization, and Dense Features", 2025, + . +- Training data: WebLI (Google internal, never released). + +## Modifications + +These files are a modified version of the upstream model (Apache-2.0 §4(b)): + +1. **Vision input contract.** The vision graph takes RGB float in [0,1] + (NCHW, N×3×224×224) and applies SigLIP's `(x - 0.5) / 0.5` = `2x - 1` + inside the graph, ahead of the patch embedding. The output is the single + pooled `embedding` [N,768], not L2-normalised. +2. **Text slice.** The text graph takes `input_ids` int64 [1,L] and slices it to + the model's 64 positions (`input_ids[:, :64]`) before the embedding lookup, so + a caller that pads to CLIP's 77 tokens gets the same embedding for any query + under 64 tokens. +3. **Lower-casing tokenizer.** `camstack-siglip2-b16-224-tokenizer.json` is the upstream `tokenizer.json` with a + `Lowercase` normalizer prepended: the model was trained on lower-cased text + and the upstream processor does not lower-case. +4. **Format conversion and precision.** OpenVINO IR and CoreML at fp16; the text + ONNX weights converted to fp16 (inputs and outputs stay int64/fp32). + +Built and verified by `scripts/build-siglip2-model.py` in the CamStack +repository (https://github.com/camstack/server): cross-format cosine against the +fp32 reference, tokenizer ids equal to the reference processor, and the +image-text embedding space checked on reference images. + +## Licence + +Apache License, Version 2.0 — ; +full text in [`LICENSES/Apache-2.0.txt`](../../LICENSES/Apache-2.0.txt). The +upstream model is © Google LLC. CamStack's changes are listed above. Every +model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/clip/siglip2/coreml/camstack-siglip2-b16-224-text.mlpackage/Data/com.apple.CoreML/model.mlmodel b/clip/siglip2/coreml/camstack-siglip2-b16-224-text.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..ff2e074ce2198ed60770f1c3b942861d7c2835c7 --- /dev/null +++ b/clip/siglip2/coreml/camstack-siglip2-b16-224-text.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7cd4dcad72ed507894beba4a4476be0e27f370f3aece4466d9c416db8100ae7a +size 125183 diff --git a/clip/siglip2/coreml/camstack-siglip2-b16-224-text.mlpackage/Data/com.apple.CoreML/weights/weight.bin b/clip/siglip2/coreml/camstack-siglip2-b16-224-text.mlpackage/Data/com.apple.CoreML/weights/weight.bin new file mode 100644 index 0000000000000000000000000000000000000000..787a306bbc50d67d07f697451c119a06987bd091 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face-detection + - yunet + - camstack +--- + +# YuNet 2023mar — CamStack build + +Face detector with 5 landmarks, re-packaged for the CamStack inference pool. +Selectable on the `face-detection` step as `yunet-2023mar`. + +| Format | File | Precision | +| --- | --- | --- | +| ONNX | `onnx/camstack-yunet-2023mar.onnx` | fp32 | +| OpenVINO IR | `openvino/camstack-yunet-2023mar.{xml,bin}` | fp32 | +| CoreML | `coreml/camstack-yunet-2023mar.mlpackage` | fp16 | + +## Source + +- Model: `face_detection_yunet_2023mar.onnx` from OpenCV Zoo, + + (mirrored at ), + sha256 `8f2383e4dd3cfbb4553ea8718107fc0423210dc964f9f4280604804ed2552fa4`. +- Training code: (BSD-3-Clause). +- Paper: Wu, Peng, Yu, "YuNet: A Tiny Millisecond-level Face Detector", + Machine Intelligence Research, 2023. + +## Modifications + +The only change to the upstream graph is a two-node prefix that adapts the +input contract: the input `image` takes **RGB float in [0,1]** (NCHW, +1×3×640×640); `Mul(255)` then `Gather([2,1,0], axis=1)` turn it into the +**BGR 0..255** tensor the upstream graph expects. Outputs are unchanged and +named `cls_{8,16,32}`, `obj_{8,16,32}`, `bbox_{8,16,32}`, `kps_{8,16,32}`. +The OpenVINO and CoreML files are converted from that patched ONNX. Built by +`scripts/build-yunet-model.py` in the CamStack repository. + +## Training data + +YuNet was trained on **WIDER FACE** (), +whose images are distributed under a **Creative Commons BY-NC-ND** licence. +The model weights are released by their authors under MIT (below). Whether a +dataset's non-commercial terms extend to a model trained on it is not settled; +this caveat applies to essentially every public face detector trained on WIDER +FACE, and is stated here so it is not lost. + +## Licence + +The model weights are MIT-licensed: + +``` +MIT License + +Copyright (c) 2020 Shiqi Yu + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` diff --git a/faceDetection/yunet/coreml/camstack-yunet-2023mar.mlpackage/Data/com.apple.CoreML/model.mlmodel b/faceDetection/yunet/coreml/camstack-yunet-2023mar.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..285453ae54b4af3114e46760bb8764378761dcc1 --- /dev/null +++ b/faceDetection/yunet/coreml/camstack-yunet-2023mar.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5cf34f67de376433caf3ba8fa34df594d3116b3666c66ca9f324f50c2dc429dc +size 85031 diff --git a/faceDetection/yunet/coreml/camstack-yunet-2023mar.mlpackage/Data/com.apple.CoreML/weights/weight.bin 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+ + + + + + + + + + + + + + + + + + diff --git a/faceRecognition/auraface/README.md b/faceRecognition/auraface/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a592b086deae0eb5b4320c9d011d5331079d221c --- /dev/null +++ b/faceRecognition/auraface/README.md @@ -0,0 +1,16 @@ + + +# faceRecognition/auraface: AuraFace v1 (iResNet-100), face recognition + +| | | +| --- | --- | +| Catalog id | `auraface-r100` | +| Upstream | fal.ai AuraFace v1: https://huggingface.co/fal/AuraFace-v1 | +| Obtained from | `glintr100.onnx` only, from `fal/AuraFace-v1` | +| Code licence | Apache-2.0 | +| **Weights licence** | Apache-2.0 ([`LICENSES/Apache-2.0.txt`](../../LICENSES/Apache-2.0.txt)) | +| Training data | stated upstream as commercially and publicly available data sources | +| CamStack modifications | graph edit: input scaling `y = 2x - 1` baked ahead of the first Conv (`scripts/build-auraface-model.py` in the CamStack source); converted to OpenVINO IR and CoreML FP16 | +| Commercial use | permitted by Apache-2.0 | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/faceRecognition/auraface/coreml/camstack-auraface-r100.mlpackage/Data/com.apple.CoreML/model.mlmodel b/faceRecognition/auraface/coreml/camstack-auraface-r100.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..b2f5f0b3d5f0e2f814a6db7012b2052205e4ce72 --- /dev/null +++ b/faceRecognition/auraface/coreml/camstack-auraface-r100.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ae68b8ebda822047fc30a05910bafc1c6ae776fd1597e7208a1a2be0c1f7ae08 +size 254738 diff --git a/faceRecognition/auraface/coreml/camstack-auraface-r100.mlpackage/Data/com.apple.CoreML/weights/weight.bin b/faceRecognition/auraface/coreml/camstack-auraface-r100.mlpackage/Data/com.apple.CoreML/weights/weight.bin new file mode 100644 index 0000000000000000000000000000000000000000..5921ebff8117a71ab252dc8a8feace95b9815f36 --- /dev/null +++ b/faceRecognition/auraface/coreml/camstack-auraface-r100.mlpackage/Data/com.apple.CoreML/weights/weight.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c189aaf7d6758dafb1603b4ea7f7c2161b69639434ddbce800e0cc632b26d7e0 +size 130342208 diff --git a/faceRecognition/auraface/coreml/camstack-auraface-r100.mlpackage/Manifest.json b/faceRecognition/auraface/coreml/camstack-auraface-r100.mlpackage/Manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..42dbbdb2bbdd0c688d6d888f52b8201f6d24fce4 --- /dev/null +++ b/faceRecognition/auraface/coreml/camstack-auraface-r100.mlpackage/Manifest.json @@ -0,0 +1,18 @@ +{ + "fileFormatVersion": "1.0.0", + "itemInfoEntries": { + "222B441F-3E13-4481-A6A9-8D2A11A61A27": { + "author": "com.apple.CoreML", + "description": "CoreML Model Specification", + "name": "model.mlmodel", + "path": 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their Flickr owners' terms) | +| CamStack modifications | exported with Ultralytics to ONNX (dynamic batch), OpenVINO IR (FP32 and FP16) and CoreML FP16; `-320` and `-256` re-exported at that input size; `-int8` post-training quantised with OpenVINO NNCF | +| Corresponding source | [Source offer for the AGPL-3.0 weights](../../THIRD_PARTY_MODELS.md#source-offer-for-the-agpl-30-weights) | +| Commercial use | AGPL-3.0 obligations apply (source, licence text, notices) | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. 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a/objectDetection/yolov9/README.md b/objectDetection/yolov9/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3dce23c0f2fbbd9fc38ad887caa20dc6ca8b34fe --- /dev/null +++ b/objectDetection/yolov9/README.md @@ -0,0 +1,17 @@ + + +# objectDetection/yolov9: YOLOv9 (Ultralytics weights), object detection + +| | | +| --- | --- | +| Catalog id | `yolov9t-320`, `yolov9t-640`, `yolov9s-*`, `yolov9m-*`, `yolov9c-*`, each with an `-int8` twin | +| Upstream | Ultralytics YOLOv9 implementation, COCO-pretrained: https://github.com/ultralytics/ultralytics. Architecture: Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, https://github.com/WongKinYiu/yolov9 (GPL-3.0) | +| Obtained from | upstream checkpoints `yolov9{t,s,m,c}.pt`, https://github.com/ultralytics/assets/releases | +| Code licence | AGPL-3.0 (Ultralytics); original YOLOv9 repository GPL-3.0 ([`LICENSES/GPL-3.0.txt`](../../LICENSES/GPL-3.0.txt)) | +| **Weights licence** | **AGPL-3.0** ([`LICENSES/AGPL-3.0.txt`](../../LICENSES/AGPL-3.0.txt)) | +| Training data | COCO 2017 (annotations CC BY 4.0) | +| CamStack modifications | exported with Ultralytics to ONNX, OpenVINO IR FP16 and CoreML at 320 and 640; `-int8` post-training quantised with OpenVINO NNCF. These are Ultralytics' weights re-exported, not trained by CamStack | +| Corresponding source | [Source offer for the AGPL-3.0 weights](../../THIRD_PARTY_MODELS.md#source-offer-for-the-agpl-30-weights) | +| Commercial use | AGPL-3.0 obligations apply | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/objectDetection/yolov9/coreml/camstack-yolov9c-320.mlpackage/Data/com.apple.CoreML/model.mlmodel b/objectDetection/yolov9/coreml/camstack-yolov9c-320.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..8b0a8ccbe4e067eaba0a5f87900ecfe6364acbb9 --- /dev/null +++ b/objectDetection/yolov9/coreml/camstack-yolov9c-320.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:69ae2ae8840360955372a12e048bfcfa874bf0450e577e0e1f0a45793c7f6152 +size 244566 diff --git a/objectDetection/yolov9/coreml/camstack-yolov9c-320.mlpackage/Data/com.apple.CoreML/weights/weight.bin b/objectDetection/yolov9/coreml/camstack-yolov9c-320.mlpackage/Data/com.apple.CoreML/weights/weight.bin new file mode 100644 index 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id | `rfdetr-package` | +| Upstream | Roboflow RF-DETR (Medium): https://github.com/roboflow/rf-detr | +| Obtained from | RF-DETR-M base weights (Apache-2.0 per the rf-detr README), custom-configured for package detection (`num_classes=2`, resolution 576; see `config.json`) | +| Code licence | Apache-2.0 | +| **Weights licence** | Apache-2.0 ([`LICENSES/Apache-2.0.txt`](../../LICENSES/Apache-2.0.txt)) | +| Training data | fine-tuning set not recorded (**unverified**) | +| CamStack modifications | fine-tuned to 2 classes at 576; exported to ONNX, OpenVINO IR and CoreML. `camstack-rfdetr-package.pth` is the training checkpoint the exports were made from | +| Commercial use | permitted by Apache-2.0; fine-tuning data terms unverified | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). + +Deployable: ONNX and OpenVINO. Source checkpoint: `.pth`. (This card replaces the one-paragraph README previously in this folder; its content is kept above.) diff --git a/packageDetection/rfdetr-package/camstack-rfdetr-package.pth b/packageDetection/rfdetr-package/camstack-rfdetr-package.pth new file mode 100644 index 0000000000000000000000000000000000000000..9c4c90b91f50df3468e6c43dd88366125b66b520 --- /dev/null +++ b/packageDetection/rfdetr-package/camstack-rfdetr-package.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eb31141de9fafee2ca17a5b98e3a91020e4f1494d7e68260a1b639c63f900e85 +size 134960582 diff --git a/packageDetection/rfdetr-package/config.json b/packageDetection/rfdetr-package/config.json new file mode 100644 index 0000000000000000000000000000000000000000..633d86bfc9897bca97413740c5fe9f55a81654aa --- /dev/null +++ b/packageDetection/rfdetr-package/config.json @@ -0,0 +1,7 @@ +{ + "model_type": "rf-detr-medium", + "num_classes": 2, + "resolution": 576, + "task": "object-detection", + "framework": 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0000000000000000000000000000000000000000..003baf30fc0cb32c808c38ee7c1c129aad001ffb --- /dev/null +++ b/plateDetection/yolov8-plate/README.md @@ -0,0 +1,17 @@ + + +# plateDetection/yolov8-plate: YOLOv8n licence-plate detector + +| | | +| --- | --- | +| Catalog id | `yolov8n-plate` | +| Upstream | Ultralytics YOLOv8n fine-tuned for licence plates by a third party (trained 2023-12-05, Ultralytics 8.0.222, per the ONNX metadata); author not identified | +| Obtained from | an ONNX file of unidentified origin | +| Code licence | AGPL-3.0 | +| **Weights licence** | **AGPL-3.0** (declared in the ONNX metadata; [`LICENSES/AGPL-3.0.txt`](../../LICENSES/AGPL-3.0.txt)) | +| Training data | **unknown** | +| CamStack modifications | converted to OpenVINO IR, CoreML and TFLite (float32) | +| Corresponding source | [Source offer for the AGPL-3.0 weights](../../THIRD_PARTY_MODELS.md#source-offer-for-the-agpl-30-weights). CamStack holds no training checkpoint: the ONNX file is the only form available to it | +| Commercial use | AGPL-3.0 obligations apply; training data unknown | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/plateDetection/yolov8-plate/coreml/camstack-yolov8n-plate.mlpackage/Data/com.apple.CoreML/model.mlmodel b/plateDetection/yolov8-plate/coreml/camstack-yolov8n-plate.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..aced80661568fdab8a11bf15aab2ba0e647a466d --- /dev/null +++ b/plateDetection/yolov8-plate/coreml/camstack-yolov8n-plate.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9b5f51f06411ac71be4bfc7a34547e7ddebfaddf3e2a389ee98784f01840c80b +size 116275 diff --git a/plateDetection/yolov8-plate/coreml/camstack-yolov8n-plate.mlpackage/Data/com.apple.CoreML/weights/weight.bin b/plateDetection/yolov8-plate/coreml/camstack-yolov8n-plate.mlpackage/Data/com.apple.CoreML/weights/weight.bin new file mode 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0000000000000000000000000000000000000000..20c0f4ad5752141b30d17edf51b1146b22f5b126 --- /dev/null +++ b/plateDetection/yolov8-plate/tflite/camstack-yolov8n-plate_float32.tflite @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2f3ba9db7915d36b084ef3f8fa11aae4dca73333f661f74800437a5f681ad577 +size 12289592 diff --git a/plateRecognition/cct-s-v2-global/README.md b/plateRecognition/cct-s-v2-global/README.md new file mode 100644 index 0000000000000000000000000000000000000000..858c75cfd12b0fdb412d7ab1698d124ee3c9956e --- /dev/null +++ b/plateRecognition/cct-s-v2-global/README.md @@ -0,0 +1,16 @@ + + +# plateRecognition/cct-s-v2-global: fast-plate-ocr CCT-S v2 (global), plate OCR + +| | | +| --- | --- | +| Catalog id | `cct-s-v2-global` | +| Upstream | ankandrew/fast-plate-ocr: https://github.com/ankandrew/fast-plate-ocr | +| Obtained from | the fast-plate-ocr release model | +| Code licence | MIT | +| **Weights licence** | MIT, Copyright (c) 2024 ankandrew ([`LICENSES/MIT-fast-plate-ocr.txt`](../../LICENSES/MIT-fast-plate-ocr.txt)) | +| Training data | private, not released upstream | +| CamStack modifications | input head removed (recorded in the ONNX `doc_string`); converted to OpenVINO IR and CoreML | +| Commercial use | permitted by MIT (keep the copyright notice) | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/plateRecognition/cct-s-v2-global/coreml/camstack-cct-s-v2-global.mlpackage/Data/com.apple.CoreML/model.mlmodel b/plateRecognition/cct-s-v2-global/coreml/camstack-cct-s-v2-global.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..c94666ddfe0d8454073ba2dd550a7282ba9c0fd5 --- /dev/null +++ b/plateRecognition/cct-s-v2-global/coreml/camstack-cct-s-v2-global.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e351ff719599ea682c3f2ed323d162e677131131dfbd5af19c12e2d8de96bff7 +size 112454 diff --git a/plateRecognition/cct-s-v2-global/coreml/camstack-cct-s-v2-global.mlpackage/Data/com.apple.CoreML/weights/weight.bin 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`yolo26n-seg`, `yolo26s-seg`, `yolo26m-seg` | +| Upstream | Ultralytics YOLO26-seg, COCO-pretrained: https://github.com/ultralytics/ultralytics | +| Obtained from | upstream checkpoints `yolo26{n,s,m}-seg.pt`, https://github.com/ultralytics/assets/releases | +| Code licence | AGPL-3.0 | +| **Weights licence** | **AGPL-3.0** ([`LICENSES/AGPL-3.0.txt`](../../LICENSES/AGPL-3.0.txt)) | +| Training data | COCO 2017 (annotations CC BY 4.0) | +| CamStack modifications | exported with Ultralytics to ONNX, OpenVINO IR and CoreML | +| Corresponding source | [Source offer for the AGPL-3.0 weights](../../THIRD_PARTY_MODELS.md#source-offer-for-the-agpl-30-weights) | +| Commercial use | AGPL-3.0 obligations apply | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/segmentation/yolo26-seg/coreml/camstack-yolo26m-seg.mlpackage/Data/com.apple.CoreML/model.mlmodel b/segmentation/yolo26-seg/coreml/camstack-yolo26m-seg.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..429df05108dad12e0e9a87ae11103f45518ab7f4 --- /dev/null +++ b/segmentation/yolo26-seg/coreml/camstack-yolo26m-seg.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ad050100359332dbaf02a38fc8b84d2c0f8846bd54af67fa9147560f2ceb8868 +size 236622 diff --git a/segmentation/yolo26-seg/coreml/camstack-yolo26m-seg.mlpackage/Data/com.apple.CoreML/weights/weight.bin b/segmentation/yolo26-seg/coreml/camstack-yolo26m-seg.mlpackage/Data/com.apple.CoreML/weights/weight.bin new file mode 100644 index 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salient-object mask + +| | | +| --- | --- | +| Catalog id | `u2netp` | +| Upstream | xuebinqin/U-2-Net: https://github.com/xuebinqin/U-2-Net (weights published in the same repository) | +| Obtained from | the `u2netp` PyTorch weights from the U-2-Net repository | +| Code licence | Apache-2.0 | +| **Weights licence** | Apache-2.0 ([`LICENSES/Apache-2.0.txt`](../../LICENSES/Apache-2.0.txt)) | +| Training data | DUTS-TR (terms not checked) | +| CamStack modifications | converted to ONNX, OpenVINO IR and CoreML | +| Commercial use | permitted by Apache-2.0 | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). diff --git a/segmentationRefiner/u2netp/coreml/camstack-u2netp.mlpackage/Data/com.apple.CoreML/model.mlmodel b/segmentationRefiner/u2netp/coreml/camstack-u2netp.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..262ed8ffe72056a7373a7b3f0be1dc2de35d94c4 --- /dev/null +++ b/segmentationRefiner/u2netp/coreml/camstack-u2netp.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e614c7f03842dbc059a0af30980ca35229cc58b6dadf8344ec85579a7b0f06a +size 250939 diff --git a/segmentationRefiner/u2netp/coreml/camstack-u2netp.mlpackage/Data/com.apple.CoreML/weights/weight.bin b/segmentationRefiner/u2netp/coreml/camstack-u2netp.mlpackage/Data/com.apple.CoreML/weights/weight.bin new file mode 100644 index 0000000000000000000000000000000000000000..3f6a5ce15831f15d06ce56b0627dea22b87ba13b --- /dev/null +++ b/segmentationRefiner/u2netp/coreml/camstack-u2netp.mlpackage/Data/com.apple.CoreML/weights/weight.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67a1172b99e8b34493482b0095bcfe9960d423315a9bfe619b149ea7ba187e05 +size 2268608 diff --git a/segmentationRefiner/u2netp/coreml/camstack-u2netp.mlpackage/Manifest.json b/segmentationRefiner/u2netp/coreml/camstack-u2netp.mlpackage/Manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..05717f6b6149c47e59903af5b01b2ba869ffa550 --- /dev/null +++ b/segmentationRefiner/u2netp/coreml/camstack-u2netp.mlpackage/Manifest.json @@ -0,0 +1,18 @@ +{ + "fileFormatVersion": "1.0.0", + "itemInfoEntries": { + "13FFB25D-E6E0-4725-8EFE-D2664E49E0C3": { + "author": "com.apple.CoreML", + "description": "CoreML Model Weights", + "name": "weights", + "path": "com.apple.CoreML/weights" + }, + "17E2196E-CE67-4452-BE5C-44A8D833739C": { + "author": "com.apple.CoreML", + "description": "CoreML Model Specification", + "name": "model.mlmodel", + "path": "com.apple.CoreML/model.mlmodel" + } + }, + "rootModelIdentifier": "17E2196E-CE67-4452-BE5C-44A8D833739C" +} diff --git a/segmentationRefiner/u2netp/onnx/camstack-u2netp.onnx b/segmentationRefiner/u2netp/onnx/camstack-u2netp.onnx new file mode 100644 index 0000000000000000000000000000000000000000..3d15c8c667182a34f490f4e53633c3e991c20a18 --- /dev/null +++ b/segmentationRefiner/u2netp/onnx/camstack-u2netp.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:309c8469258dda742793dce0ebea8e6dd393174f89934733ecc8b14c76f4ddd8 +size 4574861 diff --git a/segmentationRefiner/u2netp/openvino/camstack-u2netp.bin b/segmentationRefiner/u2netp/openvino/camstack-u2netp.bin new file mode 100644 index 0000000000000000000000000000000000000000..26c7af81530414d2b80a6ff722579c14264608f2 --- /dev/null +++ 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a/source/README.md b/source/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7d86b09267f93e94dc7e3160f444d7342e50941f --- /dev/null +++ b/source/README.md @@ -0,0 +1,43 @@ + + +# Source: how the CamStack YOLO builds are made + +This folder is the **Corresponding Source** under the GNU AGPL-3.0 for the +Ultralytics-derived weights in this mirror (`objectDetection/yolo26`, +`objectDetection/yolov9`, `segmentation/yolo26-seg`, `plateDetection/yolov8-plate`). +The full source offer, including what these scripts do not reproduce yet, is in +[`THIRD_PARTY_MODELS.md`](../THIRD_PARTY_MODELS.md#source-offer-for-the-agpl-30-weights). + +| File | What it is | +| --- | --- | +| `build-camstack-models.py` | Builds the `camstack-*` YOLO set from the upstream Ultralytics checkpoints: ONNX with a dynamic batch axis, CoreML (FP16, flexible batch 1..16), OpenVINO IR FP32 and FP16, and OpenVINO NNCF INT8 when calibration images are present. | +| `convert_lib.py` | The converter `build-camstack-models.py` imports: ONNX to OpenVINO IR (`ov.convert_model`), NNCF INT8 post-training quantisation, ONNX to CoreML, and validation of every IR. It is the same file CamStack's Model Studio runs at runtime. | +| `requirements.txt` | Python dependencies of `convert_lib.py`, with per-platform markers (OpenVINO/NNCF off macOS, coremltools/torch on macOS). | +| `export-models.py` | The older bulk exporter (Ultralytics `export()` to ONNX, CoreML, OpenVINO, TFLite) for the YOLOv8, YOLOv9 and YOLO11 ids. Self-contained. | + +## Rebuilding + +```bash +python3 -m venv .venv && . .venv/bin/activate +pip install -r requirements.txt ultralytics +# optional, for the INT8 builds: a folder of calibration images (e.g. a COCO val subset) +export CAMSTACK_CALIB_DIR=./calibration-images +python build-camstack-models.py +``` + +The script downloads each upstream checkpoint (`yolo26n.pt`, `yolov9t.pt`, ...) +from Ultralytics on first use, finds `convert_lib.py` next to itself, and writes +the results to `./exported-models/`. The model list and input sizes are the +`MODELS` table at the top of the script; the other hosted sizes are the same +calls with a different model id or `imgsz`. CoreML export needs macOS; the +OpenVINO steps need Linux or Windows on x86. + +## Licences + +- **These scripts** (`build-camstack-models.py`, `convert_lib.py`, + `export-models.py`, `requirements.txt`) are CamStack's own code and are + offered under the **MIT** licence. +- **The weights they produce keep their upstream licence.** The Ultralytics + checkpoints are AGPL-3.0 ([`LICENSES/AGPL-3.0.txt`](../LICENSES/AGPL-3.0.txt)), + and so is every file derived from them in this mirror. Nothing here is + relicensed; see [`LICENSE`](../LICENSE) and each folder's `README.md`. diff --git a/source/build-camstack-models.py b/source/build-camstack-models.py new file mode 100644 index 0000000000000000000000000000000000000000..7998e97868d6088fcca95fe26d8581e838d93f41 --- /dev/null +++ b/source/build-camstack-models.py @@ -0,0 +1,265 @@ +#!/usr/bin/env python3 +""" +Build the camstack-* model set with batch-flexible CoreML packages. + +The pipeline's Python pool currently does N predicts iterated internally +on a list-of-dicts (saves session setup, but each frame still costs ~9ms +warm). A CoreML model exported with a flexible batch dim accepts a single +stacked tensor of shape `(N, 3, H, W)` — one ANE dispatch per batch, +amortising every fixed cost. + +This script produces (per model in MODELS): + exported-models/camstack-.onnx — ONNX with dynamic batch axis + exported-models/camstack-.mlpackage — CoreML with RangeDim batch (1..16) + exported-models/camstack-_openvino_model/ — OpenVINO IR with dynamic batch + +The dynamic axis is SAFE to export and must not be pinned here: the same +artifact is loaded on CPU, iGPU, NPU and ANE nodes, so an export cannot know +which target it will meet. The loader does — `_static_batch_required` / +`_pin_batch_for_device` in `packages/addon-pipeline/python/inference_pool.py` +reshape the graph to a static batch of 1 for the one target that refuses dynamic +dims (the Intel NPU) and hand it over untouched everywhere else (D202). Pinning +it here would instead delete the flexible axis the CoreML batched-ANE dispatch +path depends on. + +Usage: + python scripts/build-camstack-models.py # from the CamStack repository + python build-camstack-models.py # from the mirror's source/ folder + +Environment: the packages in convert_lib's requirements.txt plus `ultralytics` +(which also fetches the upstream `.pt` checkpoints). INT8 needs calibration +images in CAMSTACK_CALIB_DIR (default ./calibration-images). +""" + +import os +import shutil +import sys +from pathlib import Path + +# convert_lib.py is the converter Model Studio runs at runtime. In the CamStack +# repository it lives in packages/addon-model-studio/python/; the published copy +# of this script (the `source/` folder of the camstack/camstack-models mirror) +# ships it as a sibling file. A sibling wins, so the SAME file runs in both places. +_HERE = Path(__file__).resolve().parent +_CONVERT_LIB_DIRS = ( + _HERE, + _HERE.parent / 'packages' / 'addon-model-studio' / 'python', +) +_CONVERT_LIB_DIR = next( + (d for d in _CONVERT_LIB_DIRS if (d / 'convert_lib.py').is_file()), None +) +if _CONVERT_LIB_DIR is None: + sys.exit( + 'convert_lib.py not found next to this script or in ' + 'packages/addon-model-studio/python/' + ) +sys.path.insert(0, str(_CONVERT_LIB_DIR)) +from convert_lib import export_openvino, quantize_openvino_int8, validate_openvino_ir + +# --- Config ------------------------------------------------------------ + +OUTPUT_DIR = Path("exported-models") + +MODELS = [ + # (ultralytics-id, exported-name, image-size) + ("yolov9t", "camstack-yolov9t", 640), + ("yolov9s", "camstack-yolov9s", 640), + ("yolo26n", "camstack-yolo26n", 640), +] + +# Directory of calibration images (e.g. a COCO val subset) for INT8. INT8 is +# only produced when this dir exists + has images; otherwise it's skipped with +# a note. Override via CAMSTACK_CALIB_DIR. +CALIB_DIR = Path(os.environ.get("CAMSTACK_CALIB_DIR", "calibration-images")) + +BATCH_RANGE_LOWER = 1 +BATCH_RANGE_UPPER = 16 +BATCH_DEFAULT = 1 + + +# --- Helpers ----------------------------------------------------------- + + +def get_size_mb(path: Path) -> float: + if path.is_file(): + return path.stat().st_size / (1024 * 1024) + return sum(f.stat().st_size for f in path.rglob("*") if f.is_file()) / (1024 * 1024) + + +def ensure_dir(p: Path) -> Path: + p.mkdir(parents=True, exist_ok=True) + return p + + +# --- Step 1: YOLO -> ONNX (dynamic batch) ------------------------------ + + +def export_onnx(ultra_id: str, out_path: Path, imgsz: int) -> Path: + """Export the Ultralytics .pt as ONNX with `dynamic=True`. + + `dynamic=True` produces an ONNX with `images` axis 0 marked dynamic + (batch) so coremltools.convert can set RangeDim on it. + """ + from ultralytics import YOLO + + print(f" → loading {ultra_id}.pt (auto-download if missing)") + model = YOLO(f"{ultra_id}.pt") + print(f" → exporting ONNX (imgsz={imgsz}, dynamic batch)") + onnx_src = model.export( + format="onnx", + imgsz=imgsz, + dynamic=True, + simplify=True, + opset=17, + ) + if not onnx_src: + raise RuntimeError(f"ONNX export returned no path for {ultra_id}") + onnx_src = Path(onnx_src) + if onnx_src != out_path: + shutil.copy2(onnx_src, out_path) + print(f" ✓ {out_path.name} ({get_size_mb(out_path):.1f} MB)") + return out_path + + +# --- Step 2: ONNX -> CoreML (RangeDim batch) --------------------------- + + +def export_coreml(ultra_id: str, out_path: Path, imgsz: int) -> Path: + """Export the Ultralytics .pt as a CoreML mlpackage with flexible batch. + + Ultralytics' CoreML exporter handles the torch.jit.trace + coremltools + pipeline internally. With `dynamic=True` + `batch=N`, it produces a + model that accepts shape `(B, 3, imgsz, imgsz)` with B ∈ [1..N]. + `half=True` sets compute precision to FLOAT16 — required for ANE. + """ + from ultralytics import YOLO + + print(f" → loading {ultra_id}.pt for CoreML export") + model = YOLO(f"{ultra_id}.pt") + print( + f" → exporting CoreML mlpackage (imgsz={imgsz}, dynamic batch up to {BATCH_RANGE_UPPER}, half=FP16)" + ) + src = model.export( + format="coreml", + imgsz=imgsz, + dynamic=True, + batch=BATCH_RANGE_UPPER, + half=True, + nms=False, + ) + if not src: + raise RuntimeError(f"CoreML export returned no path for {ultra_id}") + src = Path(src) + if out_path.exists(): + shutil.rmtree(out_path) + if src.is_dir(): + shutil.copytree(src, out_path) + else: + out_path.mkdir(parents=True, exist_ok=True) + shutil.copy2(src, out_path / src.name) + print(f" ✓ {out_path.name} ({get_size_mb(out_path):.1f} MB)") + return out_path + + +# --- Step 3: ONNX -> OpenVINO (dynamic batch IR) ----------------------- +# export_openvino, quantize_openvino_int8, validate_openvino_ir are imported +# from convert_lib.py (shared with the runtime; located above). + +# --- Step 4: Verification --------------------------------------------- + + +def verify_coreml_batch(mlpackage_path: Path, imgsz: int) -> None: + """Predict with N=1 then N=4 to confirm batch flexibility works.""" + import coremltools as ct + import numpy as np + + print(f" → loading {mlpackage_path.name} for verification") + model = ct.models.MLModel(str(mlpackage_path)) + # Find input name + spec = model.get_spec() + input_name = spec.description.input[0].name + + for batch in (1, 4): + x = np.random.rand(batch, 3, imgsz, imgsz).astype(np.float32) + out = model.predict({input_name: x}) + out_keys = list(out.keys()) + out_shape = out[out_keys[0]].shape if hasattr(out[out_keys[0]], "shape") else "?" + print(f" ✓ batch={batch} → output[{out_keys[0]}].shape={out_shape}") + + +# --- Main -------------------------------------------------------------- + + +def main() -> None: + output = ensure_dir(OUTPUT_DIR) + print(f"Output: {output.resolve()}") + + for ultra_id, name, imgsz in MODELS: + print() + print("=" * 70) + print(f"Building {name} (source: {ultra_id}.pt, imgsz={imgsz}×{imgsz})") + print("=" * 70) + + onnx_path = output / f"{name}.onnx" + coreml_path = output / f"{name}.mlpackage" + + try: + export_onnx(ultra_id, onnx_path, imgsz) + except Exception as e: + print(f" ✗ ONNX export failed: {e}") + continue + + try: + export_coreml(ultra_id, coreml_path, imgsz) + except Exception as e: + print(f" ✗ CoreML conversion failed: {e}") + + # OpenVINO IR variants — all converted from the ONNX via ov.convert_model + # (NOT the Ultralytics openvino exporter). fp32 baseline + fp16 (GPU/NPU). + try: + out_xml_fp32 = output / f"{name}.xml" + export_openvino(str(onnx_path), str(out_xml_fp32), fp16=False) + validate_openvino_ir(str(out_xml_fp32)) + out_xml_fp16 = output / f"{name}-fp16.xml" + export_openvino(str(onnx_path), str(out_xml_fp16), fp16=True) + validate_openvino_ir(str(out_xml_fp16)) + except Exception as e: + print(f" ✗ OpenVINO conversion failed: {e}") + + # INT8 — only when calibration images are present. + if CALIB_DIR.is_dir() and any(CALIB_DIR.iterdir()): + try: + out_xml_int8 = output / f"{name}-int8.xml" + quantize_openvino_int8( + str(onnx_path), str(out_xml_int8), str(CALIB_DIR), imgsz + ) + validate_openvino_ir(str(out_xml_int8)) + except Exception as e: + print(f" ✗ OpenVINO INT8 quantization failed: {e}") + else: + print(f" ⊘ INT8 skipped — no calibration images in {CALIB_DIR} (set CAMSTACK_CALIB_DIR)") + + if coreml_path.exists(): + try: + verify_coreml_batch(coreml_path, imgsz) + except Exception as e: + print(f" ✗ CoreML verification failed: {e}") + + # --- Summary --- + print() + print("=" * 70) + print("Build complete. Files:") + print("=" * 70) + total = 0.0 + for f in sorted(output.iterdir()): + size = get_size_mb(f) + total += size + print(f" {f.name:50s} {size:8.1f} MB") + print(" " + "─" * 60) + print(f" {'Total':50s} {total:8.1f} MB") + print() + print("Upload to HF camstack/camstack-models when ready.") + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/source/convert_lib.py b/source/convert_lib.py new file mode 100644 index 0000000000000000000000000000000000000000..f9c62327d2cff00afbf37a397367a17f19671ace --- /dev/null +++ b/source/convert_lib.py @@ -0,0 +1,170 @@ +"""Shared model converter: ONNX -> OpenVINO IR (fp16/int8/CoreML) + validation. + +Used by both the runtime model-convert cap (convert.py) and the offline +scripts/build-camstack-models.py. Conversion ALWAYS starts from ONNX via +ov.convert_model (never the Ultralytics OV exporter, which emits unnamed +tensors that break the runtime's named-output postprocess).""" +from __future__ import annotations +import os +from pathlib import Path + +# OpenVINO sizes the pool that COMPILES a model to the machine's core count and +# TBB never gives those workers back. A container cgroup counts THREADS, and +# this one has been measured refusing forks against `pids.max=2048` — so a +# conversion running beside the live pools must not spend `nproc` of the budget +# just to validate an IR. Same knob, same env var and same default (4) as +# OV_COMPILATION_NUM_THREADS in +# packages/addon-pipeline/python/inference_pool.py, which carries the +# measurement; this process is short-lived, so the saving here is a spike, not +# the 214-thread accumulation that motivated the bound. 0 disables it. +_OV_COMPILATION_NUM_THREADS: int = 4 +try: + _OV_COMPILATION_NUM_THREADS = int( + os.environ.get("CAMSTACK_OV_COMPILATION_THREADS", "4") + ) +except ValueError: + _OV_COMPILATION_NUM_THREADS = 4 + + +def export_openvino(onnx_path: str, out_xml: str, *, fp16: bool) -> None: + import openvino as ov + ov_model = ov.convert_model(onnx_path) + Path(out_xml).parent.mkdir(parents=True, exist_ok=True) + ov.save_model(ov_model, out_xml, compress_to_fp16=fp16) + + +def validate_openvino_ir(xml_path: str) -> None: + """Compile the IR and assert every input/output tensor carries a name. + This is the exact defect (unnamed tensors) that broke 14/26 catalog IRs.""" + import openvino as ov + core = ov.Core() + model = core.read_model(xml_path) + # Bound the compilation pool (see _OV_COMPILATION_NUM_THREADS). A plugin + # REJECTS a property it does not know, and this compile is the VALIDATION — + # it must never fail for a reason that has nothing to do with the IR, so a + # refused property falls back to the unbounded compile rather than + # reporting a bad model. + if _OV_COMPILATION_NUM_THREADS > 0: + try: + compiled = core.compile_model( + model, + "CPU", + {"COMPILATION_NUM_THREADS": _OV_COMPILATION_NUM_THREADS}, + ) + except Exception: + compiled = core.compile_model(model, "CPU") + else: + compiled = core.compile_model(model, "CPU") + for port in list(compiled.inputs) + list(compiled.outputs): + try: + name = port.get_any_name() + except Exception as exc: # ov raises when a tensor has no names + raise ValueError(f"IR {xml_path} has an unnamed tensor: {exc}") from exc + if not name: + raise ValueError(f"IR {xml_path} has an empty-named tensor") + + +def quantize_openvino_int8( + onnx_path: str, out_xml: str, calib_dir: str, imgsz: int, max_samples: int = 300 +) -> None: + import cv2 + import numpy as np + import openvino as ov + import nncf + + calib = Path(calib_dir) + images = sorted( + p for p in calib.iterdir() if p.suffix.lower() in {".jpg", ".jpeg", ".png"} + )[:max_samples] + if not images: + raise ValueError(f"no calibration images in {calib_dir}") + + def preprocess(path: Path): + img = cv2.imread(str(path)) + img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) + h, w = img.shape[:2] + scale = imgsz / max(h, w) + nh, nw = int(round(h * scale)), int(round(w * scale)) + resized = cv2.resize(img, (nw, nh)) + canvas = np.full((imgsz, imgsz, 3), 114, dtype=np.uint8) + canvas[:nh, :nw] = resized + chw = canvas.transpose(2, 0, 1).astype(np.float32) / 255.0 + return chw[np.newaxis, ...] + + dataset = nncf.Dataset(images, lambda p: preprocess(p)) + ov_model = ov.convert_model(onnx_path) + quantized = nncf.quantize(ov_model, dataset, subset_size=len(images)) + Path(out_xml).parent.mkdir(parents=True, exist_ok=True) + ov.save_model(quantized, out_xml) + + +def export_coreml_from_onnx( + onnx_path: str, + out_pkg: str, + imgsz: int, + *, + input_shape: "tuple[int, ...] | None" = None, + fp32: bool = False, +) -> None: + """ONNX -> CoreML mlpackage (darwin only). + + Modern coremltools (>=6) dropped the ONNX frontend entirely — ``ct.convert`` + only accepts TensorFlow / PyTorch / MIL sources, so feeding it an ``.onnx`` + raises "Unable to determine the type of the model". We bridge through + PyTorch: ``onnx2torch`` rebuilds the ONNX graph as an ``nn.Module``, we trace + it with a representative image input, then coremltools converts the + TorchScript. Image models are NCHW ``(1, 3, imgsz, imgsz)``. + + ``input_shape`` overrides that square-NCHW assumption for models whose input + is neither square nor channels-first — the plate recognizer is NHWC + ``(1, 64, 128, 3)``. Without it the trace runs on a wrongly-shaped tensor and + either throws deep inside the graph or, worse, produces a package whose + declared input silently disagrees with the real one. ``imgsz`` stays the + positional contract for every existing caller. + + ``fp32`` keeps full precision instead of coremltools' default fp16 weights. + Detectors and embedders absorb fp16 — a box moves a fraction of a pixel, a + cosine moves 5e-5 — but a RECOGNIZER cannot: its output is an argmax plus a + confidence threshold, so a small shift in one softmax flips a stored + character or silences a real read. Measured on the plate recognizer, fp16 + moved the weakest-character probability by up to 0.16 and changed the label + on a ground-truthed plate. The default stays fp16 so nothing already + published moves. + + Dynamic-shape models (e.g. YOLO) emit ``Shape`` ops that coremltools' Torch + converter cannot lower ("Converter is not implemented … 'Shape'"). We first + run onnx-simplifier with the input shape pinned, which constant-folds those + Shape ops away, so the traced graph is static and convertible. + """ + import coremltools as ct + import onnx + import torch + from onnx2torch import convert as onnx_to_torch + from onnxsim import simplify + + shape = list(input_shape) if input_shape is not None else [1, 3, imgsz, imgsz] + onnx_model = onnx.load(onnx_path) + input_name = onnx_model.graph.input[0].name + simplified, ok = simplify(onnx_model, overwrite_input_shapes={input_name: shape}) + if not ok: + simplified = onnx_model # fall back to the original if simplify bailed + + model = onnx_to_torch(simplified).eval() + example = torch.rand(*shape) + with torch.no_grad(): + traced = torch.jit.trace(model, example, strict=False) + + mlmodel = ct.convert( + traced, + source="pytorch", + inputs=[ct.TensorType(name="input", shape=example.shape)], + minimum_deployment_target=ct.target.iOS16, + **({"compute_precision": ct.precision.FLOAT32} if fp32 else {}), + ) + Path(out_pkg).parent.mkdir(parents=True, exist_ok=True) + mlmodel.save(out_pkg) + + +def validate_coreml(pkg_path: str) -> None: + import coremltools as ct + ct.models.MLModel(pkg_path) # load; raises if malformed diff --git a/source/export-models.py b/source/export-models.py new file mode 100644 index 0000000000000000000000000000000000000000..74b377a2b648f9fed4e5132559e7a39545ebcc1b --- /dev/null +++ b/source/export-models.py @@ -0,0 +1,165 @@ +#!/usr/bin/env python3 +""" +Export all detection models to supported formats. + +Exports: + - YOLOv8 nano→xlarge → ONNX, CoreML, OpenVINO, TFLite + - YOLOv9 tiny/small/compact → ONNX, CoreML, OpenVINO, TFLite + - YOLO11 nano→xlarge → ONNX, CoreML, OpenVINO, TFLite + - YOLO11-seg nano/small/medium → ONNX, CoreML, OpenVINO + - YOLOv8-seg nano/small/medium → ONNX, CoreML, OpenVINO + - UltraFace slim-320 → already ONNX (download only) + +Output: ./exported-models/{model_name}.{format} + +Usage: python3 scripts/export-models.py [--output-dir ./exported-models] +""" + +import os +import sys +import shutil +from pathlib import Path + +OUTPUT_DIR = Path(sys.argv[1]) if len(sys.argv) > 1 else Path("exported-models") +OUTPUT_DIR.mkdir(parents=True, exist_ok=True) + +# Models to export via Ultralytics +ULTRALYTICS_MODELS = [ + # YOLOv8 detection + ("yolov8n", 640), + ("yolov8s", 640), + ("yolov8m", 640), + ("yolov8l", 640), + ("yolov8x", 640), + # YOLOv9 detection + ("yolov9t", 640), + ("yolov9s", 640), + ("yolov9c", 640), + # YOLO11 detection + ("yolo11n", 640), + ("yolo11s", 640), + ("yolo11m", 640), + ("yolo11l", 640), + ("yolo11x", 640), + # YOLO11 segmentation + ("yolo11n-seg", 640), + ("yolo11s-seg", 640), + ("yolo11m-seg", 640), + # YOLOv8 segmentation + ("yolov8n-seg", 640), + ("yolov8s-seg", 640), + ("yolov8m-seg", 640), +] + +# Formats to export +FORMATS = { + "onnx": {"format": "onnx", "ext": ".onnx"}, + "coreml": {"format": "coreml", "ext": ".mlpackage", "half": True}, + "openvino": {"format": "openvino", "ext": "_openvino_model"}, + "tflite": {"format": "tflite", "ext": ".tflite"}, +} + +def export_ultralytics(model_name: str, imgsz: int): + """Export a single Ultralytics model to all formats.""" + from ultralytics import YOLO + + print(f"\n{'='*60}") + print(f"Exporting {model_name} (input: {imgsz}x{imgsz})") + print(f"{'='*60}") + + # Load model (downloads .pt automatically) + model = YOLO(f"{model_name}.pt") + + for fmt_name, fmt_config in FORMATS.items(): + try: + print(f"\n → {fmt_name}...") + export_kwargs = {"format": fmt_config["format"], "imgsz": imgsz} + if fmt_config.get("half"): + export_kwargs["half"] = True + exported_path = model.export(**export_kwargs) + + if exported_path and os.path.exists(exported_path): + # Move to output directory + dest_name = f"{model_name}{fmt_config['ext']}" + dest_path = OUTPUT_DIR / dest_name + + if os.path.isdir(exported_path): + if dest_path.exists(): + shutil.rmtree(dest_path) + shutil.copytree(exported_path, dest_path) + else: + shutil.copy2(exported_path, dest_path) + + size_mb = get_size_mb(dest_path) + print(f" ✓ {dest_name} ({size_mb:.1f} MB)") + else: + print(f" ✗ Export returned no path") + except Exception as e: + print(f" ✗ {fmt_name} failed: {e}") + + +def download_external_model(name: str, url: str, filename: str): + """Download a pre-existing ONNX model.""" + dest = OUTPUT_DIR / filename + if dest.exists(): + print(f" ✓ {filename} already exists ({get_size_mb(dest):.1f} MB)") + return + + print(f"\n → Downloading {name}...") + import urllib.request + try: + urllib.request.urlretrieve(url, dest) + print(f" ✓ {filename} ({get_size_mb(dest):.1f} MB)") + except Exception as e: + print(f" ✗ Download failed: {e}") + + +def get_size_mb(path: Path) -> float: + """Get file/directory size in MB.""" + if path.is_file(): + return path.stat().st_size / (1024 * 1024) + total = sum(f.stat().st_size for f in path.rglob("*") if f.is_file()) + return total / (1024 * 1024) + + +def main(): + print(f"Output directory: {OUTPUT_DIR.resolve()}") + + # Export Ultralytics models + for model_name, imgsz in ULTRALYTICS_MODELS: + export_ultralytics(model_name, imgsz) + + # Download pre-existing models + print(f"\n{'='*60}") + print("Downloading pre-existing ONNX models") + print(f"{'='*60}") + + download_external_model( + "UltraFace Slim 320", + "https://raw.githubusercontent.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB/master/models/onnx/version-slim-320.onnx", + "ultraface-slim-320.onnx", + ) + + download_external_model( + "CLIP ViT-B/32", + "https://huggingface.co/Xenova/clip-vit-base-patch32/resolve/main/onnx/vision_model.onnx", + "clip-vit-b32.onnx", + ) + + # Summary + print(f"\n{'='*60}") + print("Export complete! Files:") + print(f"{'='*60}") + total_mb = 0 + for f in sorted(OUTPUT_DIR.iterdir()): + size = get_size_mb(f) + total_mb += size + print(f" {f.name:40s} {size:8.1f} MB") + print(f" {'─'*50}") + print(f" {'Total':40s} {total_mb:8.1f} MB") + print(f"\nUpload these to GitHub Releases:") + print(f" gh release create models-v1.0 {OUTPUT_DIR}/* --title 'Model Assets v1.0'") + + +if __name__ == "__main__": + main() diff --git a/source/requirements.txt b/source/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..383b57da59f2bc6904445adc5dad6e7f62782de5 --- /dev/null +++ b/source/requirements.txt @@ -0,0 +1,24 @@ +# Cross-platform base + platform-gated conversion backends. +# +# openvino has NO arm64-macOS wheel (Intel/x86 Linux/Windows only), so installing +# it unconditionally aborts the WHOLE pip install on an Apple-Silicon agent and +# model-studio crash-loops on boot. coremltools is macOS-only. pip evaluates +# these environment markers per host, so a Mac agent installs the CoreML backend +# and skips OpenVINO, while a Linux/Windows agent does the reverse — convert_lib +# imports each backend lazily, matching whatever this host provides. +numpy +opencv-python-headless +onnx +openvino>=2025,<2026 ; platform_system != "Darwin" +nncf>=2.14 ; platform_system != "Darwin" +coremltools>=8.0,<9 ; platform_system == "Darwin" +# coremltools dropped the ONNX frontend, so ONNX->CoreML bridges through PyTorch +# (onnx2torch rebuilds the graph as an nn.Module → trace → ct.convert). macOS-only, +# matching coremltools; convert_lib imports them lazily inside the CoreML path. +# torch upper-bounded to what coremltools 8.x has tested (≤2.5); newer torch +# trips "has not been tested" + unimplemented-op converter errors. +torch>=2.2,<2.6 ; platform_system == "Darwin" +onnx2torch>=1.5 ; platform_system == "Darwin" +# onnx-simplifier constant-folds dynamic Shape ops (pinned input) so YOLO-style +# graphs trace to a static module coremltools can lower. +onnxsim>=0.4 ; platform_system == "Darwin" diff --git a/vehicleClassification/vehicle-type-v1/README.md b/vehicleClassification/vehicle-type-v1/README.md new file mode 100644 index 0000000000000000000000000000000000000000..70e1496885411bcace786fe6006647b51bcfcec1 --- /dev/null +++ b/vehicleClassification/vehicle-type-v1/README.md @@ -0,0 +1,18 @@ + + +# vehicleClassification/vehicle-type-v1: MobileNetV3-Large vehicle-type classifier + +| | | +| --- | --- | +| Catalog id | `vehicle-type-v1` (Ambulance, Bicycle, Bus, Car, Motorcycle, Taxi, Truck, Van) | +| Upstream | torchvision MobileNetV3-Large: https://github.com/pytorch/vision | +| Obtained from | fine-tuned by CamStack | +| Code licence | BSD-3-Clause ([`LICENSES/BSD-3-Clause.txt`](../../LICENSES/BSD-3-Clause.txt)) | +| **Weights licence** | **CC BY-NC 4.0**, from the training data ([`LICENSES/CC-BY-NC-4.0.txt`](../../LICENSES/CC-BY-NC-4.0.txt)). Whether NC binds trained weights is contested; CamStack takes the conservative reading | +| Training data | Vehicle classification dataset by DrBimmer, https://huggingface.co/datasets/DrBimmer/vehicle-classification, licensed under CC BY-NC 4.0 | +| CamStack modifications | fine-tuned (8 classes); exported to ONNX, OpenVINO IR and CoreML | +| Commercial use | **not permitted** (conservative reading) | + +CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). + +Attribution: trained on the Vehicle classification dataset by DrBimmer (https://huggingface.co/datasets/DrBimmer/vehicle-classification), CC BY-NC 4.0. diff --git a/vehicleClassification/vehicle-type-v1/coreml/vehicle-type-v1-labels.json b/vehicleClassification/vehicle-type-v1/coreml/vehicle-type-v1-labels.json new file mode 100644 index 0000000000000000000000000000000000000000..dc28d6c62c044266f52aea37f47690857f7c6f63 --- /dev/null +++ b/vehicleClassification/vehicle-type-v1/coreml/vehicle-type-v1-labels.json @@ -0,0 +1,34 @@ +{ + "labels": [ + "Ambulance", + "Bicycle", + "Bus", + "Car", + "Motorcycle", + "Taxi", + "Truck", + "Van" + ], + "input_size": 224, + "num_classes": 8, + "preprocess": { + "normalize": "imagenet", + "mean": [ + 0.485, + 0.456, + 0.406 + ], + "std": [ + 0.229, + 0.224, + 0.225 + ], + "channels": "RGB", + "layout": "NCHW" + }, + "arch": "mobilenet_v3_large", + "source": "torchvision IMAGENET1K_V2 fine-tuned on DrBimmer/vehicle-classification road subset", + "license": "BSD-3-Clause (torchvision) / dataset per-source", + "output": "logits (apply softmax)", + "best_val_acc": 0.8938 +} \ No newline at end of file diff --git a/vehicleClassification/vehicle-type-v1/coreml/vehicle-type-v1.mlpackage/Data/com.apple.CoreML/model.mlmodel b/vehicleClassification/vehicle-type-v1/coreml/vehicle-type-v1.mlpackage/Data/com.apple.CoreML/model.mlmodel new file mode 100644 index 0000000000000000000000000000000000000000..012af7c922af8ea07fd5a629429718b03ed4f2dc --- /dev/null +++ b/vehicleClassification/vehicle-type-v1/coreml/vehicle-type-v1.mlpackage/Data/com.apple.CoreML/model.mlmodel @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a555f0b87a195f725bf09ced2361ae3cb07542e5e379cbc1c98a168dc78c3756 +size 118233 diff --git 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