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- .gitattributes +40 -0
- EfficientPoseI-fp16.bin +3 -0
- EfficientPoseI-fp16.xml +0 -0
- EfficientPoseI-fp32.bin +3 -0
- EfficientPoseI-fp32.xml +0 -0
- EfficientPoseII-fp16.bin +3 -0
- EfficientPoseII-fp16.xml +0 -0
- EfficientPoseII-fp32.bin +3 -0
- EfficientPoseII-fp32.xml +0 -0
- EfficientPoseIII-fp16.bin +3 -0
- EfficientPoseIII-fp16.xml +0 -0
- EfficientPoseIII-fp32.bin +3 -0
- EfficientPoseIII-fp32.xml +0 -0
- EfficientPoseII_LITE-fp16.bin +3 -0
- EfficientPoseII_LITE-fp16.xml +0 -0
- EfficientPoseII_LITE-fp32.bin +3 -0
- EfficientPoseII_LITE-fp32.xml +0 -0
- EfficientPoseIV-fp16.bin +3 -0
- EfficientPoseIV-fp16.xml +0 -0
- EfficientPoseIV-fp32.bin +3 -0
- EfficientPoseIV-fp32.xml +0 -0
- EfficientPoseI_LITE-fp16.bin +3 -0
- EfficientPoseI_LITE-fp16.xml +0 -0
- EfficientPoseI_LITE-fp32.bin +3 -0
- EfficientPoseI_LITE-fp32.xml +0 -0
- EfficientPoseRT-fp16.bin +3 -0
- EfficientPoseRT-fp16.xml +0 -0
- EfficientPoseRT-fp32.bin +3 -0
- EfficientPoseRT-fp32.xml +0 -0
- EfficientPoseRT_LITE-fp16.bin +3 -0
- EfficientPoseRT_LITE-fp16.xml +0 -0
- EfficientPoseRT_LITE-fp32.bin +3 -0
- EfficientPoseRT_LITE-fp32.xml +0 -0
- MBLLEN-syn-lowlight-noise-180x320.onnx +3 -0
- MBLLEN-syn-lowlight-noise-240x320.onnx +3 -0
- MBLLEN-syn-lowlight-noise-360x640.onnx +3 -0
- MBLLEN-syn-lowlight-noise-480x640.onnx +3 -0
- MBLLEN-syn-lowlight-noise-720x1280.onnx +3 -0
- MODEL_ATTRIBUTIONS.md +510 -0
- README.md +45 -0
- bodypix-resnet-stride16-240x320-fp32.bin +3 -0
- bodypix-resnet-stride16-240x320-fp32.xml +0 -0
- bodypix-resnet-stride16-480x640-fp32.bin +3 -0
- bodypix-resnet-stride16-480x640-fp32.xml +0 -0
- bodypix-resnet-stride32-240x320-fp32.bin +3 -0
- bodypix-resnet-stride32-240x320-fp32.xml +0 -0
- bodypix-resnet-stride32-480x640-fp32.bin +3 -0
- bodypix-resnet-stride32-480x640-fp32.xml +0 -0
- bodypix_resnet50_stride16_1x3x256x320.onnx +3 -0
- bodypix_resnet50_stride16_1x3x480x640.onnx +3 -0
.gitattributes
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MODEL_ATTRIBUTIONS.md
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|
| 1 |
+
# Model Attributions
|
| 2 |
+
|
| 3 |
+
This file lists downloadable model artefacts referenced by Visiongraph and their sources and licenses.
|
| 4 |
+
|
| 5 |
+
## CenterNet object detection
|
| 6 |
+
|
| 7 |
+
Origin: https://github.com/xingyizhou/CenterNet
|
| 8 |
+
License: [MIT License](https://github.com/xingyizhou/CenterNet/blob/master/LICENSE)
|
| 9 |
+
|
| 10 |
+
Files:
|
| 11 |
+
- ctdet_coco_dlav0_512-fp16.bin
|
| 12 |
+
- ctdet_coco_dlav0_512-fp16.xml
|
| 13 |
+
- ctdet_coco_dlav0_512-fp32.bin
|
| 14 |
+
- ctdet_coco_dlav0_512-fp32.xml
|
| 15 |
+
|
| 16 |
+
## CrowdHuman YOLOv5 object detection
|
| 17 |
+
|
| 18 |
+
Origin: https://www.crowdhuman.org/
|
| 19 |
+
License: [AGPL-3.0 (or Enterprise License from Ultralytics)](https://github.com/ultralytics/yolov5/blob/master/LICENSE)
|
| 20 |
+
|
| 21 |
+
Trained using CrowdHuman. CrowdHuman's dataset terms limit use of its data to non-commercial research and educational purposes. Visiongraph distributes model weights, not CrowdHuman images.
|
| 22 |
+
|
| 23 |
+
Files:
|
| 24 |
+
- crowdhuman-yolov5n-640.onnx
|
| 25 |
+
- crowdhuman-yolov5n-p2-640.onnx
|
| 26 |
+
- crowdhuman-yolov5n-p34-640.onnx
|
| 27 |
+
- crowdhuman-yolov5s-640.onnx
|
| 28 |
+
- crowdhuman-yolov5s-p2-640.onnx
|
| 29 |
+
- crowdhuman-yolov5s-p34-640.onnx
|
| 30 |
+
|
| 31 |
+
## DEIMv2 object detection
|
| 32 |
+
|
| 33 |
+
Origin: https://github.com/Intellindust-AI-Lab/DEIMv2
|
| 34 |
+
License: [Apache License 2.0](https://github.com/Intellindust-AI-Lab/DEIMv2/blob/3e491c6a6758f8f949e8dea7f5e4a28ab43334f5/LICENSE)
|
| 35 |
+
|
| 36 |
+
Files:
|
| 37 |
+
- deimv2_hgnetv2_atto_coco.onnx
|
| 38 |
+
- deimv2_hgnetv2_femto_coco.onnx
|
| 39 |
+
- deimv2_hgnetv2_n_coco.onnx
|
| 40 |
+
- deimv2_hgnetv2_pico_coco.onnx
|
| 41 |
+
|
| 42 |
+
## DEIMv2 object detection (DINOv3 backbones)
|
| 43 |
+
|
| 44 |
+
Origin: https://github.com/Intellindust-AI-Lab/DEIMv2
|
| 45 |
+
License: [DINOv3 License (backbone)](https://github.com/facebookresearch/dinov3/blob/main/LICENSE.md)
|
| 46 |
+
|
| 47 |
+
DEIMv2 components are additionally covered by the [Apache License 2.0](https://github.com/Intellindust-AI-Lab/DEIMv2/blob/3e491c6a6758f8f949e8dea7f5e4a28ab43334f5/LICENSE) that applied when these weights were released.
|
| 48 |
+
|
| 49 |
+
Files:
|
| 50 |
+
- deimv2_dinov3_l_coco.onnx
|
| 51 |
+
- deimv2_dinov3_m_coco.onnx
|
| 52 |
+
- deimv2_dinov3_s_coco.onnx
|
| 53 |
+
- deimv2_dinov3_x_coco.onnx
|
| 54 |
+
|
| 55 |
+
## DETR ResNet-50 object detection
|
| 56 |
+
|
| 57 |
+
Origin: https://docs.openvino.ai/2023.3/omz_models_model_detr_resnet50.html
|
| 58 |
+
License: [Apache License 2.0](https://github.com/openvinotoolkit/open_model_zoo/blob/master/LICENSE)
|
| 59 |
+
|
| 60 |
+
Files:
|
| 61 |
+
- detr-resnet50-fp16.bin
|
| 62 |
+
- detr-resnet50-fp16.xml
|
| 63 |
+
- detr-resnet50-fp32.bin
|
| 64 |
+
- detr-resnet50-fp32.xml
|
| 65 |
+
|
| 66 |
+
## DeblurGAN-v2
|
| 67 |
+
|
| 68 |
+
Origin: https://docs.openvino.ai/2023.3/omz_models_model_deblurgan_v2.html
|
| 69 |
+
License: [BSD 3-Clause License](https://github.com/VITA-Group/DeblurGANv2/blob/master/LICENSE)
|
| 70 |
+
|
| 71 |
+
Files:
|
| 72 |
+
- deblurgan-v2-fp16.bin
|
| 73 |
+
- deblurgan-v2-fp16.xml
|
| 74 |
+
- deblurgan-v2-fp32.bin
|
| 75 |
+
- deblurgan-v2-fp32.xml
|
| 76 |
+
|
| 77 |
+
## EfficientPose pose estimation
|
| 78 |
+
|
| 79 |
+
Origin: https://github.com/daniegr/EfficientPose
|
| 80 |
+
License: [Apache License 2.0](https://github.com/daniegr/EfficientPose/blob/master/LICENSE)
|
| 81 |
+
|
| 82 |
+
Files:
|
| 83 |
+
- EfficientPoseI-fp16.bin
|
| 84 |
+
- EfficientPoseI-fp16.xml
|
| 85 |
+
- EfficientPoseI-fp32.bin
|
| 86 |
+
- EfficientPoseI-fp32.xml
|
| 87 |
+
- EfficientPoseII-fp16.bin
|
| 88 |
+
- EfficientPoseII-fp16.xml
|
| 89 |
+
- EfficientPoseII-fp32.bin
|
| 90 |
+
- EfficientPoseII-fp32.xml
|
| 91 |
+
- EfficientPoseIII-fp16.bin
|
| 92 |
+
- EfficientPoseIII-fp16.xml
|
| 93 |
+
- EfficientPoseIII-fp32.bin
|
| 94 |
+
- EfficientPoseIII-fp32.xml
|
| 95 |
+
- EfficientPoseII_LITE-fp16.bin
|
| 96 |
+
- EfficientPoseII_LITE-fp16.xml
|
| 97 |
+
- EfficientPoseII_LITE-fp32.bin
|
| 98 |
+
- EfficientPoseII_LITE-fp32.xml
|
| 99 |
+
- EfficientPoseIV-fp16.bin
|
| 100 |
+
- EfficientPoseIV-fp16.xml
|
| 101 |
+
- EfficientPoseIV-fp32.bin
|
| 102 |
+
- EfficientPoseIV-fp32.xml
|
| 103 |
+
- EfficientPoseI_LITE-fp16.bin
|
| 104 |
+
- EfficientPoseI_LITE-fp16.xml
|
| 105 |
+
- EfficientPoseI_LITE-fp32.bin
|
| 106 |
+
- EfficientPoseI_LITE-fp32.xml
|
| 107 |
+
- EfficientPoseRT-fp16.bin
|
| 108 |
+
- EfficientPoseRT-fp16.xml
|
| 109 |
+
- EfficientPoseRT-fp32.bin
|
| 110 |
+
- EfficientPoseRT-fp32.xml
|
| 111 |
+
- EfficientPoseRT_LITE-fp16.bin
|
| 112 |
+
- EfficientPoseRT_LITE-fp16.xml
|
| 113 |
+
- EfficientPoseRT_LITE-fp32.bin
|
| 114 |
+
- EfficientPoseRT_LITE-fp32.xml
|
| 115 |
+
|
| 116 |
+
## GMCNN inpainting
|
| 117 |
+
|
| 118 |
+
Origin: https://github.com/shepnerd/inpainting_gmcnn
|
| 119 |
+
License: [MIT License](https://github.com/shepnerd/inpainting_gmcnn/blob/master/LICENSE)
|
| 120 |
+
|
| 121 |
+
Files:
|
| 122 |
+
- gmcnn-places2-tf-fp16.bin
|
| 123 |
+
- gmcnn-places2-tf-fp16.xml
|
| 124 |
+
- gmcnn-places2-tf-fp32.bin
|
| 125 |
+
- gmcnn-places2-tf-fp32.xml
|
| 126 |
+
|
| 127 |
+
## KAPAO pose estimation
|
| 128 |
+
|
| 129 |
+
Origin: https://github.com/wmcnally/kapao
|
| 130 |
+
License: [GNU GPL v3.0](https://github.com/wmcnally/kapao/blob/master/LICENSE)
|
| 131 |
+
|
| 132 |
+
Files:
|
| 133 |
+
- kapao_l_coco_1280.onnx
|
| 134 |
+
- kapao_n_coco_640.onnx
|
| 135 |
+
- kapao_s_coco_1280.onnx
|
| 136 |
+
- kapao_s_coco_640.onnx
|
| 137 |
+
|
| 138 |
+
## Lite-HRNet pose estimation
|
| 139 |
+
|
| 140 |
+
Origin: https://github.com/HRNet/Lite-HRNet
|
| 141 |
+
License: [Apache License 2.0](https://github.com/HRNet/Lite-HRNet/blob/hrnet/LICENSE)
|
| 142 |
+
|
| 143 |
+
Files:
|
| 144 |
+
- litehrnet_18_coco_256x192-fp16.bin
|
| 145 |
+
- litehrnet_18_coco_256x192-fp16.xml
|
| 146 |
+
- litehrnet_18_coco_256x192-fp32.bin
|
| 147 |
+
- litehrnet_18_coco_256x192-fp32.xml
|
| 148 |
+
- litehrnet_18_coco_384x288-fp16.bin
|
| 149 |
+
- litehrnet_18_coco_384x288-fp16.xml
|
| 150 |
+
- litehrnet_18_coco_384x288-fp32.bin
|
| 151 |
+
- litehrnet_18_coco_384x288-fp32.xml
|
| 152 |
+
- litehrnet_30_coco_256x192-fp16.bin
|
| 153 |
+
- litehrnet_30_coco_256x192-fp16.xml
|
| 154 |
+
- litehrnet_30_coco_256x192-fp32.bin
|
| 155 |
+
- litehrnet_30_coco_256x192-fp32.xml
|
| 156 |
+
- litehrnet_30_coco_384x288-fp16.bin
|
| 157 |
+
- litehrnet_30_coco_384x288-fp16.xml
|
| 158 |
+
- litehrnet_30_coco_384x288-fp32.bin
|
| 159 |
+
- litehrnet_30_coco_384x288-fp32.xml
|
| 160 |
+
|
| 161 |
+
## LitePose pose estimation
|
| 162 |
+
|
| 163 |
+
Origin: https://github.com/mit-han-lab/litepose
|
| 164 |
+
License: [MIT License](https://github.com/mit-han-lab/litepose/blob/main/LICENSE)
|
| 165 |
+
|
| 166 |
+
Files:
|
| 167 |
+
- litepose-auto-l-coco-fp32.bin
|
| 168 |
+
- litepose-auto-l-coco-fp32.xml
|
| 169 |
+
- litepose-auto-m-coco-fp32.bin
|
| 170 |
+
- litepose-auto-m-coco-fp32.xml
|
| 171 |
+
- litepose-auto-s-coco-fp32.bin
|
| 172 |
+
- litepose-auto-s-coco-fp32.xml
|
| 173 |
+
|
| 174 |
+
## MBLLEN low-light enhancement
|
| 175 |
+
|
| 176 |
+
Origin: https://github.com/Lvfeifan/MBLLEN
|
| 177 |
+
License: [Apache License 2.0](https://github.com/Lvfeifan/MBLLEN/blob/master/LICENSE)
|
| 178 |
+
|
| 179 |
+
Files:
|
| 180 |
+
- MBLLEN-syn-lowlight-noise-180x320.onnx
|
| 181 |
+
- MBLLEN-syn-lowlight-noise-240x320.onnx
|
| 182 |
+
- MBLLEN-syn-lowlight-noise-360x640.onnx
|
| 183 |
+
- MBLLEN-syn-lowlight-noise-480x640.onnx
|
| 184 |
+
- MBLLEN-syn-lowlight-noise-720x1280.onnx
|
| 185 |
+
|
| 186 |
+
## MODNet portrait matting
|
| 187 |
+
|
| 188 |
+
Origin: https://github.com/ZHKKKe/MODNet
|
| 189 |
+
License: [Apache License 2.0](https://github.com/ZHKKKe/MODNet/blob/master/LICENSE)
|
| 190 |
+
|
| 191 |
+
Files:
|
| 192 |
+
- modnet.onnx
|
| 193 |
+
|
| 194 |
+
## MediaPipe pose landmarker tasks
|
| 195 |
+
|
| 196 |
+
Origin: https://github.com/google-ai-edge/mediapipe
|
| 197 |
+
License: [Apache License 2.0](https://github.com/google-ai-edge/mediapipe/blob/master/LICENSE)
|
| 198 |
+
|
| 199 |
+
Files:
|
| 200 |
+
- pose_landmarker_full.task
|
| 201 |
+
- pose_landmarker_heavy.task
|
| 202 |
+
- pose_landmarker_lite.task
|
| 203 |
+
|
| 204 |
+
## MiDaS monocular depth estimation
|
| 205 |
+
|
| 206 |
+
Origin: https://github.com/isl-org/MiDaS
|
| 207 |
+
License: [MIT License](https://github.com/isl-org/MiDaS/blob/master/LICENSE)
|
| 208 |
+
|
| 209 |
+
Files:
|
| 210 |
+
- model-small.simp.onnx
|
| 211 |
+
|
| 212 |
+
## MobileNetV2 pose estimation
|
| 213 |
+
|
| 214 |
+
Origin: https://github.com/PINTO0309/MobileNetV2-PoseEstimation
|
| 215 |
+
License: [MIT License](https://github.com/PINTO0309/MobileNetV2-PoseEstimation/blob/master/LICENSE)
|
| 216 |
+
|
| 217 |
+
Files:
|
| 218 |
+
- mobilenet_v2_pose_0.5_224-fp16.bin
|
| 219 |
+
- mobilenet_v2_pose_0.5_224-fp16.xml
|
| 220 |
+
- mobilenet_v2_pose_0.5_224-fp32.bin
|
| 221 |
+
- mobilenet_v2_pose_0.5_224-fp32.xml
|
| 222 |
+
- mobilenet_v2_pose_0.5_224_quant-fp16.bin
|
| 223 |
+
- mobilenet_v2_pose_0.5_224_quant-fp16.xml
|
| 224 |
+
- mobilenet_v2_pose_0.5_224_quant-fp32.bin
|
| 225 |
+
- mobilenet_v2_pose_0.5_224_quant-fp32.xml
|
| 226 |
+
- mobilenet_v2_pose_0.75_224-fp16.bin
|
| 227 |
+
- mobilenet_v2_pose_0.75_224-fp16.xml
|
| 228 |
+
- mobilenet_v2_pose_0.75_224-fp32.bin
|
| 229 |
+
- mobilenet_v2_pose_0.75_224-fp32.xml
|
| 230 |
+
- mobilenet_v2_pose_1.0_224-fp16.bin
|
| 231 |
+
- mobilenet_v2_pose_1.0_224-fp16.xml
|
| 232 |
+
- mobilenet_v2_pose_1.0_224-fp32.bin
|
| 233 |
+
- mobilenet_v2_pose_1.0_224-fp32.xml
|
| 234 |
+
- mobilenet_v2_pose_1.4_224-fp16.bin
|
| 235 |
+
- mobilenet_v2_pose_1.4_224-fp16.xml
|
| 236 |
+
- mobilenet_v2_pose_1.4_224-fp32.bin
|
| 237 |
+
- mobilenet_v2_pose_1.4_224-fp32.xml
|
| 238 |
+
- mobilenet_v2_pose_1.4_224_quant-fp16.bin
|
| 239 |
+
- mobilenet_v2_pose_1.4_224_quant-fp16.xml
|
| 240 |
+
- mobilenet_v2_pose_1.4_224_quant-fp32.bin
|
| 241 |
+
- mobilenet_v2_pose_1.4_224_quant-fp32.xml
|
| 242 |
+
|
| 243 |
+
## MoveNet pose estimation
|
| 244 |
+
|
| 245 |
+
Origin: https://www.tensorflow.org/hub/tutorials/movenet
|
| 246 |
+
License: [Apache License 2.0](https://github.com/tensorflow/tensorflow/blob/master/LICENSE)
|
| 247 |
+
|
| 248 |
+
Files:
|
| 249 |
+
- movenet-multipose-1280x1920-fp32.bin
|
| 250 |
+
- movenet-multipose-1280x1920-fp32.xml
|
| 251 |
+
- movenet-multipose-192x192-fp32.bin
|
| 252 |
+
- movenet-multipose-192x192-fp32.xml
|
| 253 |
+
- movenet-multipose-192x256-fp32.bin
|
| 254 |
+
- movenet-multipose-192x256-fp32.xml
|
| 255 |
+
- movenet-multipose-256x256-fp32.bin
|
| 256 |
+
- movenet-multipose-256x256-fp32.xml
|
| 257 |
+
- movenet-multipose-256x320-fp32.bin
|
| 258 |
+
- movenet-multipose-256x320-fp32.xml
|
| 259 |
+
- movenet-multipose-320x320-fp32.bin
|
| 260 |
+
- movenet-multipose-320x320-fp32.xml
|
| 261 |
+
- movenet-multipose-480x640-fp32.bin
|
| 262 |
+
- movenet-multipose-480x640-fp32.xml
|
| 263 |
+
- movenet-multipose-736x1280-fp32.bin
|
| 264 |
+
- movenet-multipose-736x1280-fp32.xml
|
| 265 |
+
- movenet-single-lightning-fp16.bin
|
| 266 |
+
- movenet-single-lightning-fp16.xml
|
| 267 |
+
- movenet-single-lightning-fp32.bin
|
| 268 |
+
- movenet-single-lightning-fp32.xml
|
| 269 |
+
- movenet-single-thunder-fp16.bin
|
| 270 |
+
- movenet-single-thunder-fp16.xml
|
| 271 |
+
- movenet-single-thunder-fp32.bin
|
| 272 |
+
- movenet-single-thunder-fp32.xml
|
| 273 |
+
|
| 274 |
+
## OpenVINO Open Model Zoo (Intel models)
|
| 275 |
+
|
| 276 |
+
Origin: https://github.com/openvinotoolkit/open_model_zoo
|
| 277 |
+
License: [Apache License 2.0](https://github.com/openvinotoolkit/open_model_zoo/blob/master/LICENSE)
|
| 278 |
+
|
| 279 |
+
Files:
|
| 280 |
+
- face-detection-0200-fp16-int8.bin
|
| 281 |
+
- face-detection-0200-fp16-int8.xml
|
| 282 |
+
- face-detection-0200-fp16.bin
|
| 283 |
+
- face-detection-0200-fp16.xml
|
| 284 |
+
- face-detection-0200-fp32.bin
|
| 285 |
+
- face-detection-0200-fp32.xml
|
| 286 |
+
- face-detection-0202-fp16-int8.bin
|
| 287 |
+
- face-detection-0202-fp16-int8.xml
|
| 288 |
+
- face-detection-0202-fp16.bin
|
| 289 |
+
- face-detection-0202-fp16.xml
|
| 290 |
+
- face-detection-0202-fp32.bin
|
| 291 |
+
- face-detection-0202-fp32.xml
|
| 292 |
+
- face-detection-0204-fp16-int8.bin
|
| 293 |
+
- face-detection-0204-fp16-int8.xml
|
| 294 |
+
- face-detection-0204-fp16.bin
|
| 295 |
+
- face-detection-0204-fp16.xml
|
| 296 |
+
- face-detection-0204-fp32.bin
|
| 297 |
+
- face-detection-0204-fp32.xml
|
| 298 |
+
- face-detection-0205-fp16-int8.bin
|
| 299 |
+
- face-detection-0205-fp16-int8.xml
|
| 300 |
+
- face-detection-0205-fp16.bin
|
| 301 |
+
- face-detection-0205-fp16.xml
|
| 302 |
+
- face-detection-0205-fp32.bin
|
| 303 |
+
- face-detection-0205-fp32.xml
|
| 304 |
+
- face-detection-0206-fp16-int8.bin
|
| 305 |
+
- face-detection-0206-fp16-int8.xml
|
| 306 |
+
- face-detection-0206-fp16.bin
|
| 307 |
+
- face-detection-0206-fp16.xml
|
| 308 |
+
- face-detection-0206-fp32.bin
|
| 309 |
+
- face-detection-0206-fp32.xml
|
| 310 |
+
- face-detection-adas-0001.bin
|
| 311 |
+
- face-detection-adas-0001.xml
|
| 312 |
+
- face-reidentification-retail-0095-fp16-int8.bin
|
| 313 |
+
- face-reidentification-retail-0095-fp16-int8.xml
|
| 314 |
+
- face-reidentification-retail-0095-fp16.bin
|
| 315 |
+
- face-reidentification-retail-0095-fp16.xml
|
| 316 |
+
- face-reidentification-retail-0095-fp32.bin
|
| 317 |
+
- face-reidentification-retail-0095-fp32.xml
|
| 318 |
+
- human-pose-estimation-0001-fp16.bin
|
| 319 |
+
- human-pose-estimation-0001-fp16.xml
|
| 320 |
+
- human-pose-estimation-0001-fp32.bin
|
| 321 |
+
- human-pose-estimation-0001-fp32.xml
|
| 322 |
+
- human-pose-estimation-0001-int8.bin
|
| 323 |
+
- human-pose-estimation-0001-int8.xml
|
| 324 |
+
- human-pose-estimation-0005-fp16.bin
|
| 325 |
+
- human-pose-estimation-0005-fp16.xml
|
| 326 |
+
- human-pose-estimation-0005-fp32.bin
|
| 327 |
+
- human-pose-estimation-0005-fp32.xml
|
| 328 |
+
- human-pose-estimation-0006-fp16.bin
|
| 329 |
+
- human-pose-estimation-0006-fp16.xml
|
| 330 |
+
- human-pose-estimation-0006-fp32.bin
|
| 331 |
+
- human-pose-estimation-0006-fp32.xml
|
| 332 |
+
- human-pose-estimation-0007-fp16.bin
|
| 333 |
+
- human-pose-estimation-0007-fp16.xml
|
| 334 |
+
- human-pose-estimation-0007-fp32.bin
|
| 335 |
+
- human-pose-estimation-0007-fp32.xml
|
| 336 |
+
- instance-segmentation-security-0002-fp16-int8.bin
|
| 337 |
+
- instance-segmentation-security-0002-fp16-int8.xml
|
| 338 |
+
- instance-segmentation-security-0002-fp16.bin
|
| 339 |
+
- instance-segmentation-security-0002-fp16.xml
|
| 340 |
+
- instance-segmentation-security-0002-fp32.bin
|
| 341 |
+
- instance-segmentation-security-0002-fp32.xml
|
| 342 |
+
- instance-segmentation-security-0091-fp16-int8.bin
|
| 343 |
+
- instance-segmentation-security-0091-fp16-int8.xml
|
| 344 |
+
- instance-segmentation-security-0091-fp16.bin
|
| 345 |
+
- instance-segmentation-security-0091-fp16.xml
|
| 346 |
+
- instance-segmentation-security-0091-fp32.bin
|
| 347 |
+
- instance-segmentation-security-0091-fp32.xml
|
| 348 |
+
- instance-segmentation-security-0228-fp16-int8.bin
|
| 349 |
+
- instance-segmentation-security-0228-fp16-int8.xml
|
| 350 |
+
- instance-segmentation-security-0228-fp16.bin
|
| 351 |
+
- instance-segmentation-security-0228-fp16.xml
|
| 352 |
+
- instance-segmentation-security-0228-fp32.bin
|
| 353 |
+
- instance-segmentation-security-0228-fp32.xml
|
| 354 |
+
- instance-segmentation-security-1039-fp16-int8.bin
|
| 355 |
+
- instance-segmentation-security-1039-fp16-int8.xml
|
| 356 |
+
- instance-segmentation-security-1039-fp16.bin
|
| 357 |
+
- instance-segmentation-security-1039-fp16.xml
|
| 358 |
+
- instance-segmentation-security-1039-fp32.bin
|
| 359 |
+
- instance-segmentation-security-1039-fp32.xml
|
| 360 |
+
- instance-segmentation-security-1040-fp16-int8.bin
|
| 361 |
+
- instance-segmentation-security-1040-fp16-int8.xml
|
| 362 |
+
- instance-segmentation-security-1040-fp16.bin
|
| 363 |
+
- instance-segmentation-security-1040-fp16.xml
|
| 364 |
+
- instance-segmentation-security-1040-fp32.bin
|
| 365 |
+
- instance-segmentation-security-1040-fp32.xml
|
| 366 |
+
- person-detection-0200-fp16-int8.bin
|
| 367 |
+
- person-detection-0200-fp16-int8.xml
|
| 368 |
+
- person-detection-0200-fp16.bin
|
| 369 |
+
- person-detection-0200-fp16.xml
|
| 370 |
+
- person-detection-0200-fp32.bin
|
| 371 |
+
- person-detection-0200-fp32.xml
|
| 372 |
+
- person-detection-0201-fp16-int8.bin
|
| 373 |
+
- person-detection-0201-fp16-int8.xml
|
| 374 |
+
- person-detection-0201-fp16.bin
|
| 375 |
+
- person-detection-0201-fp16.xml
|
| 376 |
+
- person-detection-0201-fp32.bin
|
| 377 |
+
- person-detection-0201-fp32.xml
|
| 378 |
+
- person-detection-0202-fp16-int8.bin
|
| 379 |
+
- person-detection-0202-fp16-int8.xml
|
| 380 |
+
- person-detection-0202-fp16.bin
|
| 381 |
+
- person-detection-0202-fp16.xml
|
| 382 |
+
- person-detection-0202-fp32.bin
|
| 383 |
+
- person-detection-0202-fp32.xml
|
| 384 |
+
- person-detection-0203-fp16-int8.bin
|
| 385 |
+
- person-detection-0203-fp16-int8.xml
|
| 386 |
+
- person-detection-0203-fp16.bin
|
| 387 |
+
- person-detection-0203-fp16.xml
|
| 388 |
+
- person-detection-0203-fp32.bin
|
| 389 |
+
- person-detection-0203-fp32.xml
|
| 390 |
+
- person-detection-retail-0013-fp16-int8.bin
|
| 391 |
+
- person-detection-retail-0013-fp16-int8.xml
|
| 392 |
+
- person-detection-retail-0013-fp16.bin
|
| 393 |
+
- person-detection-retail-0013-fp16.xml
|
| 394 |
+
- person-detection-retail-0013-fp32.bin
|
| 395 |
+
- person-detection-retail-0013-fp32.xml
|
| 396 |
+
|
| 397 |
+
## SSDLite MobileNetV2 object detection
|
| 398 |
+
|
| 399 |
+
Origin: https://github.com/tensorflow/models
|
| 400 |
+
License: [Apache License 2.0](https://github.com/tensorflow/models/blob/master/LICENSE)
|
| 401 |
+
|
| 402 |
+
Files:
|
| 403 |
+
- ssdlite_mobilenet_v2_fp32.bin
|
| 404 |
+
- ssdlite_mobilenet_v2_fp32.xml
|
| 405 |
+
|
| 406 |
+
## Ultralytics YOLO models
|
| 407 |
+
|
| 408 |
+
Origin: https://github.com/ultralytics
|
| 409 |
+
License: [AGPL-3.0 (or Enterprise License from Ultralytics)](https://github.com/ultralytics/ultralytics/blob/master/LICENSE)
|
| 410 |
+
|
| 411 |
+
Files:
|
| 412 |
+
- yolo11n-pose.onnx
|
| 413 |
+
- yolo11s-pose.onnx
|
| 414 |
+
- yolov5l.onnx
|
| 415 |
+
- yolov5m.onnx
|
| 416 |
+
- yolov5n.onnx
|
| 417 |
+
- yolov5s.onnx
|
| 418 |
+
- yolov5x.onnx
|
| 419 |
+
- yolov8l-obb.onnx
|
| 420 |
+
- yolov8l-oiv7.onnx
|
| 421 |
+
- yolov8l-pose-8-1.onnx
|
| 422 |
+
- yolov8l-seg.onnx
|
| 423 |
+
- yolov8l.onnx
|
| 424 |
+
- yolov8m-obb.onnx
|
| 425 |
+
- yolov8m-oiv7.onnx
|
| 426 |
+
- yolov8m-pose-8-1.onnx
|
| 427 |
+
- yolov8m-seg.onnx
|
| 428 |
+
- yolov8m.onnx
|
| 429 |
+
- yolov8n-obb.onnx
|
| 430 |
+
- yolov8n-oiv7.onnx
|
| 431 |
+
- yolov8n-pose-8-1-INT8.bin
|
| 432 |
+
- yolov8n-pose-8-1-INT8.xml
|
| 433 |
+
- yolov8n-pose-8-1.onnx
|
| 434 |
+
- yolov8n-seg.onnx
|
| 435 |
+
- yolov8n.onnx
|
| 436 |
+
- yolov8s-obb.onnx
|
| 437 |
+
- yolov8s-oiv7.onnx
|
| 438 |
+
- yolov8s-pose-8-1-INT8.bin
|
| 439 |
+
- yolov8s-pose-8-1-INT8.xml
|
| 440 |
+
- yolov8s-pose-8-1.onnx
|
| 441 |
+
- yolov8s-seg.onnx
|
| 442 |
+
- yolov8s.onnx
|
| 443 |
+
- yolov8x-obb.onnx
|
| 444 |
+
- yolov8x-oiv7.onnx
|
| 445 |
+
- yolov8x-pose-8-1.onnx
|
| 446 |
+
- yolov8x-seg.onnx
|
| 447 |
+
- yolov8x.onnx
|
| 448 |
+
|
| 449 |
+
## Viva visual voice activity detection
|
| 450 |
+
|
| 451 |
+
Origin: https://github.com/cansik/viva
|
| 452 |
+
License: [MIT License](https://github.com/cansik/viva/blob/main/LICENSE)
|
| 453 |
+
|
| 454 |
+
Files:
|
| 455 |
+
- viva-10-2-148-simplified.onnx
|
| 456 |
+
- viva-15-2-148-simplified.onnx
|
| 457 |
+
- viva-30-1-148-simplified.onnx
|
| 458 |
+
|
| 459 |
+
## YOLOF object detection
|
| 460 |
+
|
| 461 |
+
Origin: https://github.com/megvii-model/YOLOF
|
| 462 |
+
License: [MIT License](https://github.com/megvii-model/YOLOF/blob/main/LICENSE)
|
| 463 |
+
|
| 464 |
+
Files:
|
| 465 |
+
- yolof-fp16.bin
|
| 466 |
+
- yolof-fp16.xml
|
| 467 |
+
- yolof-fp32.bin
|
| 468 |
+
- yolof-fp32.xml
|
| 469 |
+
|
| 470 |
+
## YOLOX Tiny object detection
|
| 471 |
+
|
| 472 |
+
Origin: https://github.com/Megvii-BaseDetection/YOLOX
|
| 473 |
+
License: [Apache License 2.0](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/LICENSE)
|
| 474 |
+
|
| 475 |
+
Files:
|
| 476 |
+
- yolox-tiny-fp16.bin
|
| 477 |
+
- yolox-tiny-fp16.xml
|
| 478 |
+
- yolox-tiny-fp32.bin
|
| 479 |
+
- yolox-tiny-fp32.xml
|
| 480 |
+
|
| 481 |
+
## YOLOv3 and YOLOv4 TensorFlow exports used by OMZ
|
| 482 |
+
|
| 483 |
+
Origin: https://github.com/david8862/keras-YOLOv3-model-set
|
| 484 |
+
License: [MIT License](https://github.com/david8862/keras-YOLOv3-model-set/blob/master/LICENSE)
|
| 485 |
+
|
| 486 |
+
Files:
|
| 487 |
+
- yolo-v3-tf-fp16.bin
|
| 488 |
+
- yolo-v3-tf-fp16.xml
|
| 489 |
+
- yolo-v3-tf-fp32.bin
|
| 490 |
+
- yolo-v3-tf-fp32.xml
|
| 491 |
+
- yolo-v3-tiny-tf-fp16.bin
|
| 492 |
+
- yolo-v3-tiny-tf-fp16.xml
|
| 493 |
+
- yolo-v3-tiny-tf-fp32.bin
|
| 494 |
+
- yolo-v3-tiny-tf-fp32.xml
|
| 495 |
+
- yolo-v4-tf-fp16.bin
|
| 496 |
+
- yolo-v4-tf-fp16.xml
|
| 497 |
+
- yolo-v4-tf-fp32.bin
|
| 498 |
+
- yolo-v4-tf-fp32.xml
|
| 499 |
+
- yolo-v4-tiny-tf-fp16.bin
|
| 500 |
+
- yolo-v4-tiny-tf-fp16.xml
|
| 501 |
+
- yolo-v4-tiny-tf-fp32.bin
|
| 502 |
+
- yolo-v4-tiny-tf-fp32.xml
|
| 503 |
+
|
| 504 |
+
## YolactEdge instance segmentation
|
| 505 |
+
|
| 506 |
+
Origin: https://github.com/WisconsinAIVision/yolact_edge
|
| 507 |
+
License: [MIT License](https://github.com/WisconsinAIVision/yolact_edge/blob/master/LICENSE)
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| 508 |
+
|
| 509 |
+
Files:
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| 510 |
+
- yolact_edge_mobilenetv2_550x550.onnx
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README.md
ADDED
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@@ -0,0 +1,45 @@
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| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
tags:
|
| 4 |
+
- visiongraph
|
| 5 |
+
- computer-vision
|
| 6 |
+
- onnx
|
| 7 |
+
- openvino
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Visiongraph Model Repository
|
| 11 |
+
|
| 12 |
+
This repository contains model files used by [visiongraph](https://github.com/cansik/visiongraph), a library that provides reference implementations of computer vision machine learning networks for real-time inference.
|
| 13 |
+
|
| 14 |
+
The files in this repository are downloaded by visiongraph as needed. They are provided here as a centralized model storage location for the library.
|
| 15 |
+
|
| 16 |
+
## Model licenses and attributions
|
| 17 |
+
|
| 18 |
+
Important: this repository contains model files from different sources. There is no single license that applies to all model files in this repository.
|
| 19 |
+
|
| 20 |
+
Each model file is subject to the license, terms, and conditions of its original author or source project. Before using any model from this repository, make sure that the corresponding license allows your intended use, especially for commercial, research, redistribution, or production use cases.
|
| 21 |
+
|
| 22 |
+
For details, see:
|
| 23 |
+
|
| 24 |
+
- [MODEL_ATTRIBUTIONS.md](./MODEL_ATTRIBUTIONS.md) - overview of model files, their original sources, and their licenses
|
| 25 |
+
- [licenses/](./licenses) - copied license texts for the included model sources
|
| 26 |
+
|
| 27 |
+
The presence of a model file in this repository does not grant additional rights beyond the rights provided by that model's original license.
|
| 28 |
+
|
| 29 |
+
## Intended use
|
| 30 |
+
|
| 31 |
+
This repository is intended to be used by visiongraph as a download source for supported computer vision models.
|
| 32 |
+
|
| 33 |
+
Typical use:
|
| 34 |
+
|
| 35 |
+
1. Install and use the visiongraph library.
|
| 36 |
+
2. Select a supported model in visiongraph.
|
| 37 |
+
3. visiongraph downloads the required model files from this repository when needed.
|
| 38 |
+
|
| 39 |
+
For library usage, documentation, and source code, see the main project:
|
| 40 |
+
|
| 41 |
+
[https://github.com/cansik/visiongraph](https://github.com/cansik/visiongraph)
|
| 42 |
+
|
| 43 |
+
## Disclaimer
|
| 44 |
+
|
| 45 |
+
The model files are provided for convenience. Please verify the license, attribution requirements, and usage restrictions of each model before using it in your application.
|
bodypix-resnet-stride16-240x320-fp32.bin
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|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:72a550e9ea30f1b22f45b1ce18e80decd2ac34fb7c9f161904eddeda530af27a
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| 3 |
+
size 95745408
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bodypix-resnet-stride16-240x320-fp32.xml
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
bodypix-resnet-stride16-480x640-fp32.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
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|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:72a550e9ea30f1b22f45b1ce18e80decd2ac34fb7c9f161904eddeda530af27a
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size 95745408
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bodypix-resnet-stride16-480x640-fp32.xml
ADDED
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The diff for this file is too large to render.
See raw diff
|
|
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bodypix-resnet-stride32-240x320-fp32.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:72a550e9ea30f1b22f45b1ce18e80decd2ac34fb7c9f161904eddeda530af27a
|
| 3 |
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size 95745408
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bodypix-resnet-stride32-240x320-fp32.xml
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
|
bodypix-resnet-stride32-480x640-fp32.bin
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
|
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|
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|
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|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:72a550e9ea30f1b22f45b1ce18e80decd2ac34fb7c9f161904eddeda530af27a
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| 3 |
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size 95745408
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bodypix-resnet-stride32-480x640-fp32.xml
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
bodypix_resnet50_stride16_1x3x256x320.onnx
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:8b4d1e636afb791f73b42c96553e5fab336165580fc6258c861e1fcb0fe48f65
|
| 3 |
+
size 95299586
|
bodypix_resnet50_stride16_1x3x480x640.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:feb98d98849d09afaf7732f2395dd8585db7ef0156259bd9c2a664bdccfc92c2
|
| 3 |
+
size 97221526
|