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added converter option --use-predicted-mask . By default converter uses model's predicted mask, but now you can use DST mask.

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iperov 2018-12-19 23:28:48 +04:00
parent f32a44a778
commit b2d28e0b95
2 changed files with 13 additions and 0 deletions
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6
models/ConverterMasked.py
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@ -18,6 +18,7 @@ class ConverterMasked(ConverterBase):
masked_hist_match = True,
hist_match_threshold = 255,
mode='seamless',
use_predicted_mask = True,
erode_mask_modifier=0,
blur_mask_modifier=0,
output_face_scale_modifier=0.0,
@ -31,6 +32,7 @@ class ConverterMasked(ConverterBase):
self.predictor_input_size = predictor_input_size
self.output_size = output_size
self.face_type = face_type
self.use_predicted_mask = use_predicted_mask
self.erode_mask = erode_mask
self.blur_mask = blur_mask
self.clip_border_mask_per = clip_border_mask_per
@ -82,6 +84,10 @@ class ConverterMasked(ConverterBase):
prd_face_bgr = np.clip (predicted_bgra[:,:,0:3], 0, 1.0 )
prd_face_mask_a_0 = np.clip (predicted_bgra[:,:,3], 0.0, 1.0)
if not self.use_predicted_mask:
prd_face_mask_a_0 = predictor_input_mask_a_0
prd_face_mask_a_0[ prd_face_mask_a_0 < 0.001 ] = 0.0
prd_face_mask_a = np.expand_dims (prd_face_mask_a_0, axis=-1)