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42 | 42 | },
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43 | 43 | {
|
44 | 44 | "cell_type": "code",
|
45 |
| - "execution_count": null, |
| 45 | + "execution_count": 2, |
46 | 46 | "metadata": {},
|
47 | 47 | "outputs": [],
|
48 | 48 | "source": [
|
|
66 | 66 | "# path to video file (mp4 etc)\n",
|
67 | 67 | "# degirum_cloud_token: your token for accessing the DeGirum cloud platform\n",
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68 | 68 | "hw_location = \"@cloud\"\n",
|
69 |
| - "person_model_zoo_url = \"degirum/person_detection\"\n", |
| 69 | + "model_zoo_url = \"degirum/public\"\n", |
70 | 70 | "person_model_name = \"yolov8m_relu6_person--960x960_float_openvino_cpu_1\"\n",
|
71 |
| - "head_model_zoo_url = \"degirum/human_head_detection\"\n", |
72 | 71 | "head_model_name = \"yolov8s_relu6_human_head--960x960_float_openvino_cpu_1\"\n",
|
73 |
| - "face_model_zoo_url = \"degirum/face_detection\"\n", |
74 | 72 | "face_model_name = \"yolov8s_relu6_face--640x640_float_openvino_cpu_1\""
|
75 | 73 | ]
|
76 | 74 | },
|
|
83 | 81 | },
|
84 | 82 | {
|
85 | 83 | "cell_type": "code",
|
86 |
| - "execution_count": null, |
| 84 | + "execution_count": 3, |
87 | 85 | "metadata": {},
|
88 | 86 | "outputs": [],
|
89 | 87 | "source": [
|
|
120 | 118 | "model[\"person\"] = dg.load_model(\n",
|
121 | 119 | " model_name=person_model_name,\n",
|
122 | 120 | " inference_host_address=hw_location,\n",
|
123 |
| - " zoo_url=person_model_zoo_url,\n", |
| 121 | + " zoo_url=model_zoo_url,\n", |
124 | 122 | " token=dgtools.get_token(),\n",
|
125 | 123 | " overlay_show_labels=False,\n",
|
126 | 124 | " overlay_line_width=2,\n",
|
|
129 | 127 | "model[\"head\"] = dg.load_model(\n",
|
130 | 128 | " model_name=head_model_name,\n",
|
131 | 129 | " inference_host_address=hw_location,\n",
|
132 |
| - " zoo_url=head_model_zoo_url,\n", |
| 130 | + " zoo_url=model_zoo_url,\n", |
133 | 131 | " token=dgtools.get_token(),\n",
|
134 | 132 | " overlay_show_labels=False,\n",
|
135 | 133 | " overlay_line_width=2,\n",
|
|
138 | 136 | "model[\"face\"] = dg.load_model(\n",
|
139 | 137 | " model_name=face_model_name,\n",
|
140 | 138 | " inference_host_address=hw_location,\n",
|
141 |
| - " zoo_url=face_model_zoo_url,\n", |
| 139 | + " zoo_url=model_zoo_url,\n", |
142 | 140 | " token=dgtools.get_token(),\n",
|
143 | 141 | " overlay_show_labels=False,\n",
|
144 | 142 | " overlay_line_width=2,\n",
|
|
164 | 162 | },
|
165 | 163 | {
|
166 | 164 | "cell_type": "code",
|
167 |
| - "execution_count": null, |
| 165 | + "execution_count": 7, |
168 | 166 | "metadata": {},
|
169 | 167 | "outputs": [],
|
170 | 168 | "source": [
|
|
272 | 270 | },
|
273 | 271 | {
|
274 | 272 | "cell_type": "code",
|
275 |
| - "execution_count": null, |
| 273 | + "execution_count": 8, |
276 | 274 | "metadata": {},
|
277 | 275 | "outputs": [],
|
278 | 276 | "source": [
|
|
325 | 323 | "cell_type": "code",
|
326 | 324 | "execution_count": null,
|
327 | 325 | "metadata": {},
|
328 |
| - "outputs": [ |
329 |
| - { |
330 |
| - "name": "stderr", |
331 |
| - "output_type": "stream", |
332 |
| - "text": [ |
333 |
| - "packet queue is empty, aborting\n" |
334 |
| - ] |
335 |
| - } |
336 |
| - ], |
| 326 | + "outputs": [], |
337 | 327 | "source": [
|
338 | 328 | "dgtools.annotate_video(\n",
|
339 | 329 | " combined_model, video_source, output_video, analyzers=person_counter\n",
|
|
343 | 333 | ],
|
344 | 334 | "metadata": {
|
345 | 335 | "kernelspec": {
|
346 |
| - "display_name": "Python (supervision)", |
| 336 | + "display_name": "Python 3", |
347 | 337 | "language": "python",
|
348 |
| - "name": "supervision" |
| 338 | + "name": "python3" |
349 | 339 | },
|
350 | 340 | "language_info": {
|
351 | 341 | "codemirror_mode": {
|
|
357 | 347 | "name": "python",
|
358 | 348 | "nbconvert_exporter": "python",
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359 | 349 | "pygments_lexer": "ipython3",
|
360 |
| - "version": "3.9.18" |
| 350 | + "version": "3.9.6" |
361 | 351 | },
|
362 | 352 | "orig_nbformat": 4
|
363 | 353 | },
|
|
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