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temporary revert last fixes
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dd1d5e8909
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5 changed files with 57 additions and 69 deletions
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@ -177,8 +177,8 @@ class SampleProcessor(object):
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if len(mask.shape) == 2:
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mask = mask[...,np.newaxis]
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return img, mask
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img = np.concatenate( (img, mask ), -1 )
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return img
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img = sample_bgr
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@ -222,20 +222,14 @@ class SampleProcessor(object):
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img = cv2.warpAffine( img, LandmarksProcessor.get_transform_mat (sample.landmarks, sample.shape[0], target_ft), (sample.shape[0],sample.shape[0]), flags=cv2.INTER_CUBIC )
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mask = cv2.warpAffine( mask, LandmarksProcessor.get_transform_mat (sample.landmarks, sample.shape[0], target_ft), (sample.shape[0],sample.shape[0]), flags=cv2.INTER_CUBIC )
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#then apply transforms
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img, mask = do_transform (img, mask)
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img = np.concatenate( (img, mask ), -1 )
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img = do_transform (img, mask)
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img = cv2.resize( img, (resolution,resolution), cv2.INTER_CUBIC )
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else:
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img, mask = do_transform (img, mask)
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mat = LandmarksProcessor.get_transform_mat (sample.landmarks, resolution, target_ft)
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img = cv2.warpAffine( img, mat, (resolution,resolution), borderMode=(cv2.BORDER_REPLICATE if border_replicate else cv2.BORDER_CONSTANT), flags=cv2.INTER_CUBIC )
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mask = cv2.warpAffine( mask, mat, (resolution,resolution), borderMode=cv2.BORDER_CONSTANT, flags=cv2.INTER_CUBIC )
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img = np.concatenate( (img, mask[...,None] ), -1 )
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img = do_transform (img, mask)
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img = cv2.warpAffine( img, LandmarksProcessor.get_transform_mat (sample.landmarks, resolution, target_ft), (resolution,resolution), borderMode=(cv2.BORDER_REPLICATE if border_replicate else cv2.BORDER_CONSTANT), flags=cv2.INTER_CUBIC )
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else:
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img, mask = do_transform (img, mask)
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img = np.concatenate( (img, mask ), -1 )
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img = do_transform (img, mask)
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img = cv2.resize( img, (resolution,resolution), cv2.INTER_CUBIC )
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if random_sub_res != 0:
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