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caf mask update

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seranus 2019-07-31 17:33:48 +02:00
commit 8eeb7632a0
2 changed files with 6 additions and 18 deletions
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2
.gitignore vendored
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@ -6,3 +6,5 @@
!requirements*
!Dockerfile*
!*.sh
train.py
convert.py

18
converters/ConverterMasked.py
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@ -12,8 +12,6 @@ from utils.pickle_utils import AntiPickler
from .Converter import Converter
import math
'''
default_mode = {1:'overlay',
@ -253,24 +251,16 @@ class ConverterMasked(Converter):
if ero > 0:
img_face_mask_aaa = cv2.erode(img_face_mask_aaa, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(ero,ero)), iterations = 1 )
elif ero < 0:
inverted_old_mask = 1 - img_face_mask_aaa
left_jaw_landmark = img_face_landmarks[0]
right_jaw_landmark = img_face_landmarks[16]
inverted_old_mask[0: int(left_jaw_landmark[1]), 0: int(right_jaw_landmark[0])] = 0
inverted_old_mask[0: int(right_jaw_landmark[1]), int(left_jaw_landmark[0]): -1] = 0
img_face_mask_aaa = cv2.dilate(img_face_mask_aaa, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(-ero,-ero)), iterations = 1 )
# img_face_mask_aaa = img_face_mask_aaa - inverted_old_mask
# img_face_mask_aaa = np.clip(img_face_mask_aaa, 0, 1)
img_mask_blurry_aaa = img_face_mask_aaa
if self.clip_hborder_mask_per > 0: #clip hborder before blur
prd_hborder_rect_mask_a = np.ones ( prd_face_mask_a.shape, dtype=np.float32)
prd_border_size = int ( prd_hborder_rect_mask_a.shape[1] * self.clip_hborder_mask_per )
prd_hborder_rect_mask_a[:,0:prd_border_size,:] = 0
prd_hborder_rect_mask_a[:,-prd_border_size:,:] = 0
prd_hborder_rect_mask_a[:,-prd_border_size:,:] = 0
prd_hborder_rect_mask_a[-prd_border_size:,:,:] = 0
prd_hborder_rect_mask_a = np.expand_dims(cv2.blur(prd_hborder_rect_mask_a, (prd_border_size, prd_border_size) ),-1)
img_prd_hborder_rect_mask_a = cv2.warpAffine( prd_hborder_rect_mask_a, face_output_mat, img_size, np.zeros(img_bgr.shape, dtype=np.float32), cv2.WARP_INVERSE_MAP | cv2.INTER_LANCZOS4 )
@ -289,10 +279,6 @@ class ConverterMasked(Converter):
img_mask_blurry_aaa = cv2.blur(img_mask_blurry_aaa, (blur, blur) )
img_mask_blurry_aaa = np.clip( img_mask_blurry_aaa, 0, 1.0 )
if ero < 0:
img_mask_blurry_aaa = img_mask_blurry_aaa - inverted_old_mask
img_mask_blurry_aaa = np.clip(img_mask_blurry_aaa, 0, 1)
face_mask_blurry_aaa = cv2.warpAffine( img_mask_blurry_aaa, face_mat, (output_size, output_size) )
if debug: