Refactor predict function: remove image shape from debug output for non-zero values
Browse files
app.py
CHANGED
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@@ -40,7 +40,7 @@ def predict(data):
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img = np.array(data['composite'])
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# print non-zero values
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-
print("non-zero values", np.count_nonzero(img)
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for i in range(img.shape[0]):
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for j in range(img.shape[1]):
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if img[i][j] > 0:
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img = np.array(data['composite'])
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# print non-zero values
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+
print("non-zero values", np.count_nonzero(img))
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for i in range(img.shape[0]):
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for j in range(img.shape[1]):
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if img[i][j] > 0:
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