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  17. EfficientPoseII_LITE-fp32.xml +0 -0
  18. EfficientPoseIV-fp16.bin +3 -0
  19. EfficientPoseIV-fp16.xml +0 -0
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  21. EfficientPoseIV-fp32.xml +0 -0
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  25. EfficientPoseI_LITE-fp32.xml +0 -0
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  35. MBLLEN-syn-lowlight-noise-240x320.onnx +3 -0
  36. MBLLEN-syn-lowlight-noise-360x640.onnx +3 -0
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  48. bodypix-resnet-stride32-480x640-fp32.xml +0 -0
  49. bodypix_resnet50_stride16_1x3x256x320.onnx +3 -0
  50. bodypix_resnet50_stride16_1x3x480x640.onnx +3 -0
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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)
508
+
509
+ Files:
510
+ - yolact_edge_mobilenetv2_550x550.onnx
README.md ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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.
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