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fix converter bug when blur size == 0

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iperov 2019-01-09 12:10:29 +04:00
parent 00d7a3ab4d
commit 1c601dce4a
1 changed files with 6 additions and 5 deletions
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11
models/ConverterMasked.py
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@ -128,8 +128,7 @@ class ConverterMasked(ConverterBase):
if self.erode_mask_modifier != 0: if self.erode_mask_modifier != 0:
ero = int( lowest_len * ( 0.126 - lowest_len * 0.00004551365 ) * 0.01*self.erode_mask_modifier ) ero = int( lowest_len * ( 0.126 - lowest_len * 0.00004551365 ) * 0.01*self.erode_mask_modifier )
if debug: if debug:
print ("erode_size = %d" % (ero) ) print ("erode_size = %d" % (ero) )
if ero > 0: if ero > 0:
img_mask_blurry_aaa = cv2.erode(img_mask_blurry_aaa, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(ero,ero)), iterations = 1 ) img_mask_blurry_aaa = cv2.erode(img_mask_blurry_aaa, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(ero,ero)), iterations = 1 )
elif ero < 0: elif ero < 0:
@ -137,18 +136,20 @@ class ConverterMasked(ConverterBase):
if self.seamless_erode_mask_modifier != 0: if self.seamless_erode_mask_modifier != 0:
ero = int( lowest_len * ( 0.126 - lowest_len * 0.00004551365 ) * 0.01*self.seamless_erode_mask_modifier ) ero = int( lowest_len * ( 0.126 - lowest_len * 0.00004551365 ) * 0.01*self.seamless_erode_mask_modifier )
if debug:
print ("seamless_erode_size = %d" % (ero) )
if ero > 0: if ero > 0:
img_face_mask_flatten_aaa = cv2.erode(img_face_mask_flatten_aaa, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(ero,ero)), iterations = 1 ) img_face_mask_flatten_aaa = cv2.erode(img_face_mask_flatten_aaa, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(ero,ero)), iterations = 1 )
elif ero < 0: elif ero < 0:
img_face_mask_flatten_aaa = cv2.dilate(img_face_mask_flatten_aaa, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(-ero,-ero)), iterations = 1 ) img_face_mask_flatten_aaa = cv2.dilate(img_face_mask_flatten_aaa, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(-ero,-ero)), iterations = 1 )
if debug:
print ("seamless_erode_size = %d" % (ero) )
if self.blur_mask_modifier > 0: if self.blur_mask_modifier > 0:
blur = int( lowest_len * 0.10 * 0.01*self.blur_mask_modifier ) blur = int( lowest_len * 0.10 * 0.01*self.blur_mask_modifier )
img_mask_blurry_aaa = cv2.blur(img_mask_blurry_aaa, (blur, blur) )
if debug: if debug:
print ("blur_size = %d" % (blur) ) print ("blur_size = %d" % (blur) )
if blur > 0:
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 ) img_mask_blurry_aaa = np.clip( img_mask_blurry_aaa, 0, 1.0 )