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BatchCropFromMaskAdvanced: Flipping our if statement to clean up the git-diff.

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David Bielejeski 2024-04-03 13:34:50 -05:00
parent 4e3fd9ca88
commit a0576b8b5f
1 changed files with 8 additions and 8 deletions
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nodes.py
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@ -1903,14 +1903,8 @@ class BatchCropFromMaskAdvanced:
_mask = tensor2pil(mask)[0]
non_zero_indices = np.nonzero(np.array(_mask))
# handle empty masks
if len(non_zero_indices[0]) == 0 or len(non_zero_indices[1]) == 0:
bounding_boxes.append((0, 0, img.shape[1], img.shape[0]))
cropped_images.append(img)
cropped_masks.append(mask)
combined_cropped_images.append(img)
combined_cropped_masks.append(mask)
else:
# check for empty masks
if len(non_zero_indices[0]) > 0 and len(non_zero_indices[1]) > 0:
min_x, max_x = np.min(non_zero_indices[1]), np.max(non_zero_indices[1])
min_y, max_y = np.min(non_zero_indices[0]), np.max(non_zero_indices[0])
@ -1966,6 +1960,12 @@ class BatchCropFromMaskAdvanced:
combined_cropped_mask = masks[i][new_min_y:new_max_y, new_min_x:new_max_x]
combined_cropped_masks.append(combined_cropped_mask)
else:
bounding_boxes.append((0, 0, img.shape[1], img.shape[0]))
cropped_images.append(img)
cropped_masks.append(mask)
combined_cropped_images.append(img)
combined_cropped_masks.append(mask)
cropped_out = torch.stack(cropped_images, dim=0)
combined_crop_out = torch.stack(combined_cropped_images, dim=0)