Publish versioned RKNN model variants and conversion sources

.gitattributes

@@ -57,3 +57,31 @@ models/v2.3.2/classify/yolov5s-cls/rk3576/fp16/model.rknn filter=lfs diff=lfs me
 models/v2.3.2/classify/yolov5s-cls/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/v2.3.2/classify/yolov5s-cls/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/v2.3.2/classify/yolov5s-cls/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5m/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5m/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5m/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5m/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5n/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5n/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5n/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5n/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5s/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5s/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5s/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5s/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5s_relu/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5s_relu/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5s_relu/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/detect/yolov5s_relu/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5m-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5m-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5m-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5m-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5n-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5n-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5n-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5n-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5s-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5s-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5s-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.5.0/segment/yolov5s-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text

LICENSES.md

@@ -0,0 +1,9 @@
+# Sources and license notices
+
+The Apache-2.0 notice under `source/model-zoo/` applies to the Rockchip conversion scripts. Model weights retain their upstream terms. The manifest records each source artifact and input hash. Rockchip's downloadable graphs do not declare an independent license in the ONNX metadata.
+
+The repository’s original GPL-3.0 notice covers its classification checkpoints and builds.
+
+- [Upstream source 1](https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5)
+- [Upstream source 2](https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5_seg)
+- [Upstream source 3](https://github.com/airockchip/yolov5)

README.md

@@ -1,5 +1,7 @@
 ---
-license: gpl-3.0
+license: other
+license_name: upstream-terms-by-artifact
+license_link: https://huggingface.co/HanzoHuang/YOLOv5-RKNN2/blob/main/LICENSES.md
 pipeline_tag: image-classification
 tags:
 - rknn
@@ -21,3 +23,7 @@ The custom conversion exports an ONNX graph and compiles it with RKNN Toolkit2.
 The Model Zoo detection exports are currently unpublished while their upstream checkpoint provenance is being verified.
 
 Models are organized by RKNN Toolkit2 version under `models/v<version>/`. Each model and its metadata share a folder.
+
+## Model Zoo downloads
+
+The `models/v2.5.0/` downloads use RKNN Toolkit2 2.5.0. The conversion receipts identify the original ONNX and converter. See [source and license notices](LICENSES.md).

manifest.json

@@ -142,5 +142,453 @@
     "sha256": "52bb9d48e6515a304e1f7ac27900cbd358c9de5862ca198f27ed428c0036cf76",
     "metadata_sha256": "9e735a6c2d4ae494bd914e32533fb2e48083f75f65c37f69d8c4df701be02133",
     "toolkit_version": "2.3.2"
+  },
+  {
+    "name": "yolov5m",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.5.0/detect/yolov5m/rk3576/fp16",
+    "sha256": "8ca6a49d2d123edd2f89693b6cbd8210a37f5e5146df476fbf9be0b1257fdf5f",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5m.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "c12bf6352180e404db490097f596acbf5f14076cc5949995d9c1b218bfbe2d85",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5m",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.5.0/detect/yolov5m/rk3576/int8",
+    "sha256": "fe0416dba88c2c9cd2ce2871de3fa90f57ab76678aefb3fcd3b98c82079a9615",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5m.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "c12bf6352180e404db490097f596acbf5f14076cc5949995d9c1b218bfbe2d85",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5n",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.5.0/detect/yolov5n/rk3576/fp16",
+    "sha256": "cd3e9487b56ff2f965d491964503c964cdf59e03d18c21b8ddc85f5c41734d3a",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5n.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "b3237d0f59a5d90ff6ecec3dca220e0ada8abd929f8a158b08b12e1a3bad7232",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5n",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.5.0/detect/yolov5n/rk3576/int8",
+    "sha256": "e24db5996c76bdd5d868cb2384f6344664c65e91fdaaffaa1508c7651d7d6e59",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5n.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "b3237d0f59a5d90ff6ecec3dca220e0ada8abd929f8a158b08b12e1a3bad7232",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.5.0/detect/yolov5s/rk3576/fp16",
+    "sha256": "b8c9eda03dbe1e3e02f9ad05c1d5a8112de897b4608cccf4473d44b4b79a91d3",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "edae4dbd95819e576019161b76a881f064f56e8d4ae2029cc133769f108af008",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.5.0/detect/yolov5s/rk3576/int8",
+    "sha256": "6d1275ab1d605bfddc2d1e211b3991849c0070cc1211f70b7d6933c90a5502d7",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "edae4dbd95819e576019161b76a881f064f56e8d4ae2029cc133769f108af008",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s_relu",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.5.0/detect/yolov5s_relu/rk3576/fp16",
+    "sha256": "493d7167a89792ccabc45b74c3059ee70467815c4ba835f58a80dad0b5c5804d",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s_relu.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "4811e423a87dfe3bc7a2c872c0b0af0db8385871954f56510a69dd75ffe2d086",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s_relu",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.5.0/detect/yolov5s_relu/rk3576/int8",
+    "sha256": "1544e4b8c36000f91b593a3fff78bd98886ba704b90b815bc5e98f951a1c0f62",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s_relu.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "4811e423a87dfe3bc7a2c872c0b0af0db8385871954f56510a69dd75ffe2d086",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5m-seg",
+    "family": "yolov5_seg",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.5.0/segment/yolov5m-seg/rk3576/fp16",
+    "sha256": "d93e709b8a1e55d00c25d949fa1667519e99d7731c13102472b8882eaede6383",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5_seg/yolov5m-seg.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "21ad0aa6d25582b890b3323c86c805bb7f713c12124eeff4fbd8752be9b78740",
+    "onnx_sha256": "a077180baf571ec465551955c6cd630d03ca7d27feb744a33019cd66d404ba11",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5_seg"
+  },
+  {
+    "name": "yolov5m-seg",
+    "family": "yolov5_seg",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.5.0/segment/yolov5m-seg/rk3576/int8",
+    "sha256": "d00ddae6204ffa7f20ba1afc84fd4542741f4404010a12bde8d782ffb03461a1",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5_seg/yolov5m-seg.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "21ad0aa6d25582b890b3323c86c805bb7f713c12124eeff4fbd8752be9b78740",
+    "onnx_sha256": "a077180baf571ec465551955c6cd630d03ca7d27feb744a33019cd66d404ba11",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5_seg"
+  },
+  {
+    "name": "yolov5n-seg",
+    "family": "yolov5_seg",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.5.0/segment/yolov5n-seg/rk3576/fp16",
+    "sha256": "401cea3a9e9d5d035dbd5f35b92dbdacc8db355364c97b6e3a012d5cb7e30c40",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5_seg/yolov5n-seg.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "21ad0aa6d25582b890b3323c86c805bb7f713c12124eeff4fbd8752be9b78740",
+    "onnx_sha256": "1d9c9b8a1f5b9028fb77e5de7fd146d227395b7fb0b40d2f240fed08d824a4dc",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5_seg"
+  },
+  {
+    "name": "yolov5n-seg",
+    "family": "yolov5_seg",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.5.0/segment/yolov5n-seg/rk3576/int8",
+    "sha256": "ed6f974f3109cf986b6fa4f489ca8ad28c4be29ba3bae319e3b043b9f774d567",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5_seg/yolov5n-seg.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "21ad0aa6d25582b890b3323c86c805bb7f713c12124eeff4fbd8752be9b78740",
+    "onnx_sha256": "1d9c9b8a1f5b9028fb77e5de7fd146d227395b7fb0b40d2f240fed08d824a4dc",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5_seg"
+  },
+  {
+    "name": "yolov5s-seg",
+    "family": "yolov5_seg",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.5.0/segment/yolov5s-seg/rk3576/fp16",
+    "sha256": "6084fc591ccd3182219e86f4d9218843c28c8959b89b33d14a0ca5ebb514c3dd",
+    "toolkit_version": "2.5.0",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5_seg/yolov5s-seg.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "21ad0aa6d25582b890b3323c86c805bb7f713c12124eeff4fbd8752be9b78740",
+    "onnx_sha256": "f4f9436a16225dbee2441499568246ccbaf261e29bd866619f72b93a76f521da",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5_seg"
+  },
+  {
+    "name": "yolov5s-seg",
+    "family": "yolov5_seg",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.5.0/segment/yolov5s-seg/rk3576/int8",
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 ]

models/v2.5.0/detect/yolov5m/rk3576/fp16/conversion.json

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+{
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+      "rk3576",
+      "fp",
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models/v2.5.0/detect/yolov5m/rk3576/fp16/metadata.yaml

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+task: detect
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+- person
+- bicycle
+- car
+- motorcycle
+- airplane
+- bus
+- train
+- truck
+- boat
+- traffic light
+- fire hydrant
+- stop sign
+- parking meter
+- bench
+- bird
+- cat
+- dog
+- horse
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+- cow
+- elephant
+- bear
+- zebra
+- giraffe
+- backpack
+- umbrella
+- handbag
+- tie
+- suitcase
+- frisbee
+- skis
+- snowboard
+- sports ball
+- kite
+- baseball bat
+- baseball glove
+- skateboard
+- surfboard
+- tennis racket
+- bottle
+- wine glass
+- cup
+- fork
+- knife
+- spoon
+- bowl
+- banana
+- apple
+- sandwich
+- orange
+- broccoli
+- carrot
+- hot dog
+- pizza
+- donut
+- cake
+- chair
+- couch
+- potted plant
+- bed
+- dining table
+- toilet
+- tv
+- laptop
+- mouse
+- remote
+- keyboard
+- cell phone
+- microwave
+- oven
+- toaster
+- sink
+- refrigerator
+- book
+- clock
+- vase
+- scissors
+- teddy bear
+- hair drier
+- toothbrush
+target_platform: rk3576
+coordinates: pixels
+head: anchored
+anchors:
+- - 10.0
+  - 13.0
+  - 16.0
+  - 30.0
+  - 33.0
+  - 23.0
+- - 30.0
+  - 61.0
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+  - 45.0
+  - 59.0
+  - 119.0
+- - 116.0
+  - 90.0
+  - 156.0
+  - 198.0
+  - 373.0
+  - 326.0

models/v2.5.0/detect/yolov5m/rk3576/fp16/model.rknn

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+size 47455428

models/v2.5.0/detect/yolov5m/rk3576/int8/conversion.json

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+      "rk3576",
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