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Upgraded to TF version 1.13.2

Browse source 
Removed the wait at first launch for most graphics cards.

Increased speed of training by 10-20%, but you have to retrain all models from scratch.

SAEHD:

added option 'use float16'
	Experimental option. Reduces the model size by half.
	Increases the speed of training.
	Decreases the accuracy of the model.
	The model may collapse or not train.
	Model may not learn the mask in large resolutions.

true_face_training option is replaced by
"True face power". 0.0000 .. 1.0
Experimental option. Discriminates the result face to be more like the src face. Higher value - stronger discrimination.
Comparison - https://i.imgur.com/czScS9q.png
This commit is contained in:
Colombo 2020-01-25 21:58:19 +04:00
parent a3dfcb91b9
commit 76ca79216e
49 changed files with 1320 additions and 1297 deletions
Download patch file Download diff file Expand all files Collapse all files

24
merger/MergeMasked.py
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@ -29,7 +29,7 @@ def MergeMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, img
dst_face_bgr = cv2.warpAffine( img_bgr , face_mat, (output_size, output_size), flags=cv2.INTER_CUBIC )
dst_face_bgr = np.clip(dst_face_bgr, 0, 1)
dst_face_mask_a_0 = cv2.warpAffine( img_face_mask_a, face_mat, (output_size, output_size), flags=cv2.INTER_CUBIC )
dst_face_mask_a_0 = np.clip(dst_face_mask_a_0, 0, 1)
@ -50,7 +50,7 @@ def MergeMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, img
if cfg.super_resolution_mode:
prd_face_bgr = cfg.superres_func(cfg.super_resolution_mode, prd_face_bgr)
prd_face_bgr = np.clip(prd_face_bgr, 0, 1)
if predictor_masked:
prd_face_mask_a_0 = cv2.resize (prd_face_mask_a_0, (output_size, output_size), cv2.INTER_CUBIC)
else:
@ -192,12 +192,12 @@ def MergeMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, img
prd_face_bgr = imagelib.color_transfer_idt (prd_face_bgr, dst_face_bgr)
elif cfg.color_transfer_mode == 6: #idt-m
prd_face_bgr = imagelib.color_transfer_idt (prd_face_bgr*prd_face_mask_a, dst_face_bgr*prd_face_mask_a)
elif cfg.color_transfer_mode == 7: #sot-m
elif cfg.color_transfer_mode == 7: #sot-m
prd_face_bgr = imagelib.color_transfer_sot (prd_face_bgr*prd_face_mask_a, dst_face_bgr*prd_face_mask_a)
prd_face_bgr = np.clip (prd_face_bgr, 0.0, 1.0)
elif cfg.color_transfer_mode == 8: #mix-m
prd_face_bgr = imagelib.color_transfer_mix (prd_face_bgr*prd_face_mask_a, dst_face_bgr*prd_face_mask_a)
if cfg.mode == 'hist-match-bw':
prd_face_bgr = cv2.cvtColor(prd_face_bgr, cv2.COLOR_BGR2GRAY)
prd_face_bgr = np.repeat( np.expand_dims (prd_face_bgr, -1), (3,), -1 )
@ -236,7 +236,7 @@ def MergeMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, img
break
out_img = cv2.warpAffine( prd_face_bgr, face_output_mat, img_size, out_img, cv2.WARP_INVERSE_MAP | cv2.INTER_CUBIC, cv2.BORDER_TRANSPARENT )
out_img = np.clip(out_img, 0.0, 1.0)
if 'seamless' in cfg.mode:
@ -254,8 +254,8 @@ def MergeMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, img
raise Exception("Seamless fail: " + e_str) #reraise MemoryError in order to reprocess this data by other processes
else:
print ("Seamless fail: " + e_str)
out_img = img_bgr*(1-img_face_mask_aaa) + (out_img*img_face_mask_aaa)
out_face_bgr = cv2.warpAffine( out_img, face_mat, (output_size, output_size) )
@ -279,12 +279,12 @@ def MergeMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, img
out_face_bgr = imagelib.color_transfer_idt (out_face_bgr, dst_face_bgr)
elif cfg.color_transfer_mode == 6: #idt-m
out_face_bgr = imagelib.color_transfer_idt (out_face_bgr*prd_face_mask_a, dst_face_bgr*prd_face_mask_a)
elif cfg.color_transfer_mode == 7: #sot-m
elif cfg.color_transfer_mode == 7: #sot-m
out_face_bgr = imagelib.color_transfer_sot (out_face_bgr*prd_face_mask_a, dst_face_bgr*prd_face_mask_a)
out_face_bgr = np.clip (out_face_bgr, 0.0, 1.0)
elif cfg.color_transfer_mode == 8: #mix-m
out_face_bgr = imagelib.color_transfer_mix (out_face_bgr*prd_face_mask_a, dst_face_bgr*prd_face_mask_a)
if cfg.mode == 'seamless-hist-match':
out_face_bgr = imagelib.color_hist_match(out_face_bgr, dst_face_bgr, cfg.hist_match_threshold)
@ -327,7 +327,7 @@ def MergeMaskedFace (predictor_func, predictor_input_shape, cfg, frame_info, img
else:
alpha = cfg.color_degrade_power / 100.0
out_img = (out_img*(1.0-alpha) + out_img_reduced*alpha)
out_merging_mask = img_face_mask_aaa
return out_img, out_merging_mask[...,0:1]
@ -353,10 +353,10 @@ def MergeMasked (predictor_func, predictor_input_shape, cfg, frame_info):
final_img = img
final_mask = merging_mask
else:
final_img = final_img*(1-merging_mask) + img*merging_mask
final_img = final_img*(1-merging_mask) + img*merging_mask
final_mask = np.clip (final_mask + merging_mask, 0, 1 )
if cfg.export_mask_alpha:
final_img = np.concatenate ( [final_img, final_mask], -1)
return (final_img*255).astype(np.uint8)