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.copy() instead of view #36

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.copy() instead of view #36

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4 changes: 2 additions & 2 deletions data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ def next_crop(self, for_g, idx):
"""Return a crop according to the pre-determined list of indices. Noise is added to crops for D"""
size = self.g_input_shape if for_g else self.d_input_shape
top, left = self.get_top_left(size, for_g, idx)
crop_im = self.input_image[top:top + size, left:left + size, :]
crop_im = self.input_image[top:top + size, left:left + size, :].copy()
if not for_g: # Add noise to the image for d
crop_im += np.random.randn(*crop_im.shape) / 255.0
return im2tensor(crop_im)
Expand Down Expand Up @@ -77,4 +77,4 @@ def get_top_left(self, size, for_g, idx):
row, col = int(center / self.in_cols), center % self.in_cols
top, left = min(max(0, row - size // 2), self.in_rows - size), min(max(0, col - size // 2), self.in_cols - size)
# Choose even indices (to avoid misalignment with the loss map for_g)
return top - top % 2, left - left % 2
return top - top % 2, left - left % 2