Spaces:
Running
Running
Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- .gitignore +3 -0
- README.md +2 -8
- app.py +37 -0
- assets/basketball.mp4 +3 -0
- assets/pierre.mov +3 -0
- models/pose.pt +3 -0
- requirements.txt +69 -0
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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assets/basketball.mp4 filter=lfs diff=lfs merge=lfs -text
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assets/pierre.mov filter=lfs diff=lfs merge=lfs -text
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.gitignore
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.venv
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node_modules
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tests
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README.md
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---
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title:
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colorFrom: green
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colorTo: blue
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sdk: gradio
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sdk_version: 4.42.0
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: human-pose-video
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app_file: app.py
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sdk: gradio
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sdk_version: 4.42.0
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---
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app.py
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import gradio as gr
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import PIL.Image as Image
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from ultralytics import YOLO
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pose = YOLO("models/pose.pt")
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def predict_image(image, conf_threshold, iou_threshold):
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results = pose.predict(
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image, conf=conf_threshold, iou=iou_threshold, stream=True)
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for r in results:
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im_array = r.plot(labels=True, boxes=True)
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yield Image.fromarray(im_array[..., ::-1])
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return image
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iface = gr.Interface(
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fn=predict_image,
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inputs=[
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gr.Video(label="Upload Video"),
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gr.Slider(minimum=0, maximum=1, value=0.25,
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label="Confidence threshold"),
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gr.Slider(minimum=0, maximum=1, value=0.7, label="IoU threshold"),
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],
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outputs=gr.Image(type="numpy", label="Result"),
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title="Human Pose",
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description="Limbs in all of the right places.",
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examples=[
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["assets/pierre.mov", 0.25, 0.7],
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["assets/basketball.mp4", 0.25, 0.7],
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]
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)
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if __name__ == "__main__":
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iface.launch()
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assets/basketball.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:1996f65f6335c4bbdf436a992ee3f7d9db7a60bbd113f7305c53e572c7260759
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size 30162927
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assets/pierre.mov
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version https://git-lfs.github.com/spec/v1
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oid sha256:64e020d6ad93a93c0134b1e881941ca14c16bcddade5b795e0ef155554d00b61
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size 51297175
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models/pose.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a14086802581046de9b39939924440523252cd5a47361081e802984ddf714ea1
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size 89391502
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requirements.txt
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aiofiles==23.2.1
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annotated-types==0.7.0
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anyio==4.4.0
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certifi==2024.7.4
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charset-normalizer==3.3.2
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click==8.1.7
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contourpy==1.3.0
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cycler==0.12.1
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fastapi==0.112.2
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ffmpy==0.4.0
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filelock==3.15.4
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fonttools==4.53.1
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fsspec==2024.6.1
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gradio==4.42.0
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gradio_client==1.3.0
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h11==0.14.0
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httpcore==1.0.5
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httpx==0.27.2
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huggingface-hub==0.24.6
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idna==3.8
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importlib_resources==6.4.4
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Jinja2==3.1.4
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kiwisolver==1.4.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.9.2
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mdurl==0.1.2
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mpmath==1.3.0
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networkx==3.3
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numpy==1.26.4
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opencv-python==4.10.0.84
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orjson==3.10.7
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packaging==24.1
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pandas==2.2.2
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pillow==10.4.0
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psutil==6.0.0
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py-cpuinfo==9.0.0
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pydantic==2.8.2
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pydantic_core==2.20.1
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pydub==0.25.1
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Pygments==2.18.0
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pyparsing==3.1.4
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python-dateutil==2.9.0.post0
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python-multipart==0.0.9
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pytz==2024.1
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PyYAML==6.0.2
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requests==2.32.3
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rich==13.8.0
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ruff==0.6.2
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scipy==1.14.1
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seaborn==0.13.2
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.16.0
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sniffio==1.3.1
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starlette==0.38.2
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sympy==1.13.2
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tomlkit==0.12.0
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torch==2.4.0
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torchvision==0.19.0
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tqdm==4.66.5
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typer==0.12.5
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typing_extensions==4.12.2
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tzdata==2024.1
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ultralytics==8.2.83
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ultralytics-thop==2.0.5
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urllib3==2.2.2
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uvicorn==0.30.6
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websockets==12.0
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