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moving some files

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This commit is contained in:
Colombo 2019-10-14 09:34:44 +04:00
parent 2b264da86b
commit e013cb0f6b
14 changed files with 303 additions and 57 deletions
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27
converters/ConvertMasked.py
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@ -56,14 +56,14 @@ def ConvertMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, i
if cfg.mask_mode == 2: #dst
prd_face_mask_a_0 = cv2.resize (dst_face_mask_a_0, (output_size,output_size), cv2.INTER_CUBIC)
elif cfg.mask_mode >= 3 and cfg.mask_mode <= 7:
elif cfg.mask_mode >= 3 and cfg.mask_mode <= 8:
if cfg.mask_mode == 3 or cfg.mask_mode == 5 or cfg.mask_mode == 6:
prd_face_fanseg_bgr = cv2.resize (prd_face_bgr, (cfg.fanseg_input_size,)*2 )
prd_face_fanseg_mask = cfg.fanseg_extract_func(FaceType.FULL, prd_face_fanseg_bgr)
FAN_prd_face_mask_a_0 = cv2.resize ( prd_face_fanseg_mask, (output_size, output_size), cv2.INTER_CUBIC)
if cfg.mask_mode >= 4 or cfg.mask_mode <= 7:
if cfg.mask_mode >= 4 and cfg.mask_mode <= 7:
full_face_fanseg_mat = LandmarksProcessor.get_transform_mat (img_face_landmarks, cfg.fanseg_input_size, face_type=FaceType.FULL)
dst_face_fanseg_bgr = cv2.warpAffine(img_bgr, full_face_fanseg_mat, (cfg.fanseg_input_size,)*2, flags=cv2.INTER_CUBIC )
@ -80,9 +80,24 @@ def ConvertMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, i
m = cv2.getAffineTransform(b, fanseg_rect_corner_pts)
FAN_dst_face_mask_a_0 = cv2.warpAffine(dst_face_fanseg_mask, m, (cfg.fanseg_input_size,)*2, flags=cv2.INTER_CUBIC )
FAN_dst_face_mask_a_0 = cv2.resize (FAN_dst_face_mask_a_0, (output_size,output_size), cv2.INTER_CUBIC)
#else:
# raise ValueError ("cfg.face_type unsupported")
"""
if cfg.mask_mode == 8: #FANCHQ-dst
full_face_fanchq_mat = LandmarksProcessor.get_transform_mat (img_face_landmarks, cfg.fanchq_input_size, face_type=FaceType.FULL)
dst_face_fanchq_bgr = cv2.warpAffine(img_bgr, full_face_fanchq_mat, (cfg.fanchq_input_size,)*2, flags=cv2.INTER_CUBIC )
dst_face_fanchq_mask = cfg.fanchq_extract_func( FaceType.FULL, dst_face_fanchq_bgr )
if cfg.face_type == FaceType.FULL:
FANCHQ_dst_face_mask_a_0 = cv2.resize (dst_face_fanchq_mask, (output_size,output_size), cv2.INTER_CUBIC)
else:
face_fanchq_mat = LandmarksProcessor.get_transform_mat (img_face_landmarks, cfg.fanchq_input_size, face_type=cfg.face_type)
fanchq_rect_corner_pts = np.array ( [ [0,0], [cfg.fanchq_input_size-1,0], [0,cfg.fanchq_input_size-1] ], dtype=np.float32 )
a = LandmarksProcessor.transform_points (fanchq_rect_corner_pts, face_fanchq_mat, invert=True )
b = LandmarksProcessor.transform_points (a, full_face_fanchq_mat )
m = cv2.getAffineTransform(b, fanchq_rect_corner_pts)
FAN_dst_face_mask_a_0 = cv2.warpAffine(dst_face_fanchq_mask, m, (cfg.fanchq_input_size,)*2, flags=cv2.INTER_CUBIC )
FAN_dst_face_mask_a_0 = cv2.resize (FAN_dst_face_mask_a_0, (output_size,output_size), cv2.INTER_CUBIC)
"""
if cfg.mask_mode == 3: #FAN-prd
prd_face_mask_a_0 = FAN_prd_face_mask_a_0
elif cfg.mask_mode == 4: #FAN-dst
@ -93,7 +108,9 @@ def ConvertMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, i
prd_face_mask_a_0 = prd_face_mask_a_0 * FAN_prd_face_mask_a_0 * FAN_dst_face_mask_a_0
elif cfg.mask_mode == 7:
prd_face_mask_a_0 = prd_face_mask_a_0 * FAN_dst_face_mask_a_0
#elif cfg.mask_mode == 8: #FANCHQ-dst
# prd_face_mask_a_0 = FANCHQ_dst_face_mask_a_0
prd_face_mask_a_0[ prd_face_mask_a_0 < 0.001 ] = 0.0
prd_face_mask_a = prd_face_mask_a_0[...,np.newaxis]