Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- .gitignore +1 -1
- app.py +9 -12
- assets/basketball.mp4 +3 -0
- assets/pierre.mov +3 -0
.gitattributes
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@@ -34,3 +34,5 @@ saved_model/**/* 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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*.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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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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@@ -1,3 +1,3 @@
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-
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node_modules
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tests
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.venv
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node_modules
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tests
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app.py
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@@ -5,34 +5,31 @@ from ultralytics import YOLO
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classify = YOLO("models/classify.pt")
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def
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results =
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for r in results:
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im_array = r.plot(labels=
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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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-
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-
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iface = gr.Interface(
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fn=predict_image,
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inputs=[
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gr.
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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="
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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/
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["assets/
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]
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)
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classify = YOLO("models/classify.pt")
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def predict_image(image, conf_threshold, iou_threshold):
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results = classify.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="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/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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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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