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Update app.py
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app.py
CHANGED
@@ -177,10 +177,9 @@ base_image = gr.Interface(
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outputs=[gr.Image(type="pil",label="Base Model Inference"),gr.Image(type="pil",label="Tuned Model Inference"),gr.Textbox(label="Tuned Model Inference")],
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title="Luffy and Chopper Head detection. SSD mobile net V2 320x320",
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description="Upload a Image for prediction or click on below examples. Prediction confident >38% will be shown in dectected images. Threshold slider is WIP",
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examples=
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[[test1,0.38],[test2,0.38],[test3,0.38],[test4,0.38],[test5,0.38],[test6,0.38],[test7,0.38],[test8,0.38],[test9,0.38],[test10,0.38],[test11,0.38],[test12,0.38],],
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cache_examples=True,examples_per_page=12,label="select image with 0.38 threshold to inference, you may amend threshold after inference")
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)
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# tuned_image = gr.Interface(
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outputs=[gr.Image(type="pil",label="Base Model Inference"),gr.Image(type="pil",label="Tuned Model Inference"),gr.Textbox(label="Tuned Model Inference")],
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title="Luffy and Chopper Head detection. SSD mobile net V2 320x320",
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description="Upload a Image for prediction or click on below examples. Prediction confident >38% will be shown in dectected images. Threshold slider is WIP",
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examples=
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[[test1,0.38],[test2,0.38],[test3,0.38],[test4,0.38],[test5,0.38],[test6,0.38],[test7,0.38],[test8,0.38],[test9,0.38],[test10,0.38],[test11,0.38],[test12,0.38],],
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cache_examples=True,examples_per_page=12#,label="select image with 0.38 threshold to inference, you may amend threshold after inference"
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)
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# tuned_image = gr.Interface(
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