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"/home/shiv-nlp-mldl-cv/anaconda3/envs/S15-Yolo1/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
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"video 1/1 (242/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1442.2ms\n",
"video 1/1 (243/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1325.5ms\n",
"video 1/1 (244/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1350.5ms\n",
"video 1/1 (245/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1361.8ms\n",
"video 1/1 (246/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1337.1ms\n",
"video 1/1 (247/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1344.6ms\n",
"video 1/1 (248/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1401.4ms\n",
"video 1/1 (249/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1337.2ms\n",
"video 1/1 (250/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1346.8ms\n",
"video 1/1 (251/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1356.8ms\n",
"video 1/1 (252/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1353.3ms\n",
"video 1/1 (253/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1363.3ms\n",
"video 1/1 (254/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1442.7ms\n",
"video 1/1 (255/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1453.3ms\n",
"video 1/1 (256/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1341.0ms\n",
"video 1/1 (257/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1325.8ms\n",
"video 1/1 (258/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1348.7ms\n",
"video 1/1 (259/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1628.3ms\n",
"video 1/1 (260/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1498.0ms\n",
"video 1/1 (261/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1980.8ms\n",
"video 1/1 (262/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1738.5ms\n",
"video 1/1 (263/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1351.8ms\n",
"video 1/1 (264/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 2 cars, 1439.5ms\n",
"video 1/1 (265/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1331.8ms\n",
"video 1/1 (266/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1734.1ms\n",
"video 1/1 (267/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1780.9ms\n",
"video 1/1 (268/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1848.5ms\n",
"video 1/1 (269/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1778.2ms\n",
"video 1/1 (270/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1787.7ms\n",
"video 1/1 (271/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1798.7ms\n",
"video 1/1 (272/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1712.4ms\n",
"video 1/1 (273/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1781.3ms\n",
"video 1/1 (274/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1341.2ms\n",
"video 1/1 (275/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1402.7ms\n",
"video 1/1 (276/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1360.8ms\n",
"video 1/1 (277/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1362.1ms\n",
"video 1/1 (278/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1370.1ms\n",
"video 1/1 (279/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1383.0ms\n",
"video 1/1 (280/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1418.8ms\n",
"video 1/1 (281/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1352.0ms\n",
"video 1/1 (282/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1361.7ms\n",
"video 1/1 (283/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1533.7ms\n",
"video 1/1 (284/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1333.1ms\n",
"video 1/1 (285/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1775.2ms\n",
"video 1/1 (286/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1817.8ms\n",
"video 1/1 (287/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1314.1ms\n",
"video 1/1 (288/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1349.4ms\n",
"video 1/1 (289/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1344.9ms\n",
"video 1/1 (290/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1337.2ms\n",
"video 1/1 (291/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1378.6ms\n",
"video 1/1 (292/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1397.3ms\n",
"video 1/1 (293/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1336.6ms\n",
"video 1/1 (294/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1348.8ms\n",
"video 1/1 (295/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1324.5ms\n",
"video 1/1 (296/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1377.5ms\n",
"video 1/1 (297/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1351.6ms\n",
"video 1/1 (298/298) /tmp/gradio/96ee097452acb133f511bd6cb20730ac92412476/cut_a_2.mp4: 416x640 1 car, 1357.3ms\n",
"Speed: 0.7ms pre-process, 1475.3ms inference, 1.4ms NMS per image at shape (1, 3, 640, 640)\n",
"Results saved to \u001b[1myolov9/runs/detect/664a80cf-ce01-4bde-a090-59a93c91e364\u001b[0m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"yolov9/runs/detect/664a80cf-ce01-4bde-a090-59a93c91e364/cut_a_2.mp4\n"
]
}
],
"source": [
"import gradio as gr\n",
"from PIL import Image\n",
"import numpy as np\n",
"import os\n",
"import uuid\n",
"\n",
"def inference(input_img):\n",
" temp = uuid.uuid4()\n",
" shell = f\"python yolov9/detect.py --source {input_img} --img 640 --device cpu --weights yolov9/runs/train/exp/weights/best.pt --name {temp}\"\n",
" os.system(shell)\n",
" return f\"yolov9/runs/detect/{temp}/{input_img.split('/')[-1]}\"\n",
" #return \"yolov9/runs/detect/f807164a-496b-413c-bb47-f5daf8803dcd/cut_a_1.mp4\"\n",
"\n",
"def inference_video(input_img):\n",
" org_img = input_img\n",
" return input_img\n",
"\n",
"with gr.Blocks() as demo:\n",
" gr.Markdown(\n",
" \"\"\"\n",
" # Vehicle detection using Yolo-v9\n",
" \"\"\"\n",
" )\n",
"\n",
" with gr.Tab(\"Video\"):\n",
" gr.Markdown(\n",
" \"\"\"\n",
" Upload image file and detect vehicles present in the image\n",
" \"\"\"\n",
" )\n",
" with gr.Row():\n",
" img_input = [gr.PlayableVideo(label=\"Input Image\", autoplay=True, width=300, height=300)]\n",
" pred_outputs = [gr.PlayableVideo(label=\"Output Image\",width=640, autoplay=True, height=640)]\n",
" \n",
" image_button = gr.Button(\"Predict\")\n",
" image_button.click(inference, inputs=img_input, outputs=pred_outputs)\n",
"\n",
" with gr.Tab(\"Image\"):\n",
" gr.Markdown(\n",
" \"\"\"\n",
" Upload image file and detect vehicles present in the image\n",
" \"\"\"\n",
" )\n",
" with gr.Row():\n",
" img_input = [gr.Image(type=\"filepath\",label=\"Input Image\",width=300, height=300)]\n",
" pred_outputs = [gr.Image(label=\"Output Image\",width=640, height=640)]\n",
" \n",
" image_button = gr.Button(\"Predict\")\n",
" image_button.click(inference, inputs=img_input, outputs=pred_outputs)\n",
"\n",
"\n",
"\n",
"demo.launch(share=True)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "S6-VSCode",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.14"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|