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Added option --alpha and --transfercolor

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MaksV79 2018-11-17 18:14:17 +03:00 • committed by GitHub
parent 3dcedf6bf3
commit 6bbb8ad59b
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1 changed files with 26 additions and 3 deletions
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models/ConverterMasked.py
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@ -24,7 +24,9 @@ class ConverterMasked(ConverterBase):
masked_hist_match = False,
mode='seamless',
erode_mask_modifier=0,
blur_mask_modifier=0,
blur_mask_modifier=0,
alpha=False,
transfercolor=False,
**in_options):
super().__init__(predictor)
@ -39,6 +41,8 @@ class ConverterMasked(ConverterBase):
self.mode = mode
self.erode_mask_modifier = erode_mask_modifier
self.blur_mask_modifier = blur_mask_modifier
self.alpha = alpha
self.transfercolor = transfercolor
if self.erode_mask_modifier != 0 and not self.erode_mask:
print ("Erode mask modifier not used in this model.")
@ -186,9 +190,28 @@ class ConverterMasked(ConverterBase):
new_out_face_bgr = image_utils.color_hist_match(out_face_bgr, dst_face_bgr )
new_out = cv2.warpAffine( new_out_face_bgr, face_mat, img_size, img_bgr.copy(), cv2.WARP_INVERSE_MAP | cv2.INTER_LANCZOS4, cv2.BORDER_TRANSPARENT )
out_img = np.clip( img_bgr*(1-img_mask_blurry_aaa) + (new_out*img_mask_blurry_aaa) , 0, 1.0 )
if self.transfercolor: #making transfer color from original DST image to fake
from skimage import io, color
lab_clr = color.rgb2lab(img_bgr) #original DST, converting RGB to LAB color space
lab_bw = color.rgb2lab(out_img) #fake, converting RGB to LAB color space
tmp_channel, a_channel, b_channel = cv2.split(lab_clr) #taking color channel A and B from original dst image
l_channel, tmp2_channel, tmp3_channel = cv2.split(lab_bw) #taking lightness channel L from merged fake
img_LAB = cv2.merge((l_channel,a_channel, b_channel)) #merging light and color
out_img = color.lab2rgb(img_LAB) #converting LAB to RGB
if self.alpha:
new_image = out_img.copy()
new_image = (new_image*255).astype(np.uint8) #convert image to int
b_channel, g_channel, r_channel = cv2.split(new_image) #splitting RGB
alpha_channel = img_mask_blurry_aaa.copy() #making copy of alpha channel
alpha_channel = (alpha_channel*255).astype(np.uint8)
alpha_channel, tmp2, tmp3 = cv2.split(alpha_channel) #splitting alpha to three channels, they all same in original alpha channel, we need just one
out_img = cv2.merge((b_channel,g_channel, r_channel, alpha_channel)) #mergin RGB with alpha
out_img = out_img.astype(np.float32) / 255.0
if debug:
debugs += [out_img.copy()]
return debugs if debug else out_img