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2 changed files with 2 additions and 2 deletions
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@ -242,7 +242,7 @@ class ExtractSubprocessor(Subprocessor):
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rect_area = mathlib.polygon_area(np.array(rect[[0,2,2,0]]), np.array(rect[[1,1,3,3]]))
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rect_area = mathlib.polygon_area(np.array(rect[[0,2,2,0]]), np.array(rect[[1,1,3,3]]))
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landmarks_area = mathlib.polygon_area(landmarks_bbox[:,0], landmarks_bbox[:,1] )
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landmarks_area = mathlib.polygon_area(landmarks_bbox[:,0], landmarks_bbox[:,1] )
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if landmarks_area > 4*rect_area: #get rid of faces which umeyama-landmark-area > 4*detector-rect-area
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if self.face_type <= FaceType.FULL_NO_ALIGN and landmarks_area > 4*rect_area: #get rid of faces which umeyama-landmark-area > 4*detector-rect-area
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continue
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continue
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if self.debug_dir is not None:
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if self.debug_dir is not None:
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@ -291,7 +291,7 @@ class SampleProcessor(object):
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rnd_state = np.random.RandomState (sample_rnd_seed)
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rnd_state = np.random.RandomState (sample_rnd_seed)
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img = np.take (img_bgr, rnd_state.permutation(img_bgr.shape[-1]), axis=-1)
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img = np.take (img_bgr, rnd_state.permutation(img_bgr.shape[-1]), axis=-1)
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elif mode_type == SPTF.MODE_G:
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elif mode_type == SPTF.MODE_G:
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img = np.concatenate ( (np.expand_dims(cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY),-1),img_mask) , -1 )
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img = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY)[...,None]
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elif mode_type == SPTF.MODE_GGG:
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elif mode_type == SPTF.MODE_GGG:
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img = np.repeat ( np.expand_dims(cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY),-1), (3,), -1)
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img = np.repeat ( np.expand_dims(cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY),-1), (3,), -1)
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elif mode_type == SPTF.MODE_M and is_face_sample:
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elif mode_type == SPTF.MODE_M and is_face_sample:
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