Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- .gitignore +2 -0
- README.md +2 -8
- app.py +40 -0
- assets/klay.jpeg +0 -0
- assets/pierre.png +3 -0
- models/classify.pt +3 -0
- models/pose.pt +3 -0
- requirements.txt +69 -0
.gitattributes
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@@ -33,3 +33,4 @@ 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/pierre.png filter=lfs diff=lfs merge=lfs -text
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.gitignore
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env
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node_modules
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README.md
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---
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title:
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colorFrom: gray
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colorTo: gray
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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: basketball-classify
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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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classify = YOLO("models/classify.pt")
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def predict(model, image, conf_threshold, iou_threshold, show=True):
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results = model.predict(image, conf=conf_threshold, iou=iou_threshold)
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for r in results:
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im_array = r.plot(labels=show, boxes=show)
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image = Image.fromarray(im_array[..., ::-1])
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return image
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def predict_image(image, conf_threshold, iou_threshold):
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return predict(classify, image, conf_threshold, iou_threshold)
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iface = gr.Interface(
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fn=predict_image,
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inputs=[
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gr.Image(type="pil", label="Upload Image"),
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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="pil", label="Result"),
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title="Basketball Classifier",
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description="Have you ever wondered where the ball was when you were playing basketball? Where the rim was? Where you were?",
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examples=[
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["assets/klay.jpeg", 0.25, 0.7],
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["assets/pierre.png", 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/klay.jpeg
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assets/pierre.png
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Git LFS Details
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models/classify.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e373e722941e5cd68e8918dd0bdaa121c378d7789a2af46f8b3a37fd5971f101
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size 36618295
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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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| 42 |
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pyparsing==3.1.4
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| 43 |
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python-dateutil==2.9.0.post0
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| 44 |
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python-multipart==0.0.9
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| 45 |
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pytz==2024.1
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| 46 |
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PyYAML==6.0.2
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| 47 |
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requests==2.32.3
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| 48 |
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rich==13.8.0
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| 49 |
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ruff==0.6.2
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| 50 |
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scipy==1.14.1
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| 51 |
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seaborn==0.13.2
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| 52 |
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semantic-version==2.10.0
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| 53 |
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shellingham==1.5.4
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| 54 |
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six==1.16.0
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| 55 |
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sniffio==1.3.1
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| 56 |
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starlette==0.38.2
|
| 57 |
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sympy==1.13.2
|
| 58 |
+
tomlkit==0.12.0
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| 59 |
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torch==2.4.0
|
| 60 |
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torchvision==0.19.0
|
| 61 |
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tqdm==4.66.5
|
| 62 |
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typer==0.12.5
|
| 63 |
+
typing_extensions==4.12.2
|
| 64 |
+
tzdata==2024.1
|
| 65 |
+
ultralytics==8.2.83
|
| 66 |
+
ultralytics-thop==2.0.5
|
| 67 |
+
urllib3==2.2.2
|
| 68 |
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uvicorn==0.30.6
|
| 69 |
+
websockets==12.0
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