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Runtime error
Update app.py
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app.py
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@@ -175,26 +175,12 @@ with open(r'labels.txt', 'r') as fp:
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for line in fp:
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labels_list.append(line[:-1])
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"""Adds color defined by the dataset colormap to the label.
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Args:
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label: A 2D array with integer type, storing the segmentation label.
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Returns:
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result: A 2D array with floating type. The element of the array
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is the color indexed by the corresponding element in the input label
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to the PASCAL color map.
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ValueError: If label is not of rank 2 or its value is larger than color
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map maximum entry.
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"""
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if label.ndim != 2:
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raise ValueError("Expect 2-D input label")
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colormap = np.asarray(ade_palette())
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if np.max(label) >= len(colormap):
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raise ValueError("label value too large.")
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@@ -238,9 +224,8 @@ def sepia(input_img):
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color_seg = np.zeros(
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(seg.shape[0], seg.shape[1], 3), dtype=np.uint8
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) # height, width, 3
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palette = np.array(ade_palette())
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for label, color in enumerate(
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color_seg[seg == label, :] = color
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# Convert to BGR
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for line in fp:
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labels_list.append(line[:-1])
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colormap = np.asarray(ade_palette())
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def label_to_color_image(label):
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if label.ndim != 2:
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raise ValueError("Expect 2-D input label")
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if np.max(label) >= len(colormap):
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raise ValueError("label value too large.")
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color_seg = np.zeros(
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(seg.shape[0], seg.shape[1], 3), dtype=np.uint8
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) # height, width, 3
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for label, color in enumerate(colormap):
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color_seg[seg == label, :] = color
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# Convert to BGR
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