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Browse files- app.py +1 -3
- requirements.txt +1 -2
app.py
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@@ -1,5 +1,4 @@
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import cv2
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from matplotlib import pyplot as plt
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import gradio as gr
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@@ -10,10 +9,9 @@ def my_app(img):
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analysedData = classifier.detectMultiScale(flipped_image,
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minSize=(20, 20))
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if len(analysedData) != 0:
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return analysedData[0].x
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return ("S T O P !")
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else:
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return
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gr.interface.Interface(fn=my_app, live=True, inputs=gr.Image(
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import cv2
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import gradio as gr
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analysedData = classifier.detectMultiScale(flipped_image,
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minSize=(20, 20))
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if len(analysedData) != 0:
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return ("S T O P !")
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else:
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return ("You're good to go :)")
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gr.interface.Interface(fn=my_app, live=True, inputs=gr.Image(
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requirements.txt
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@@ -1,3 +1,2 @@
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opencv-python
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gradio
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opencv-python
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gradio
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