github/DeepFaceLab
1
0
Fork 0
mirror of https://github.com/iperov/DeepFaceLab.git synced 2025-08-19 21:13:20 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions

SAE: added test option: 'Apply random color transfer to src faceset'

Browse source
This commit is contained in:
iperov 2019-05-06 11:34:56 +04:00
commit a805f81142
9 changed files with 152 additions and 129 deletions
Download patch file Download diff file Expand all files Collapse all files

32
converters/ConverterMasked.py
View file

@ -1,15 +1,18 @@
import time
import traceback
from .Converter import Converter
from facelib import LandmarksProcessor
from facelib import FaceType
from facelib import FANSegmentator
import cv2
import numpy as np
import imagelib
from facelib import FaceType, FANSegmentator, LandmarksProcessor
from interact import interact as io
from joblib import SubprocessFunctionCaller
from utils.pickle_utils import AntiPickler
import time
from .Converter import Converter
'''
default_mode = {1:'overlay',
2:'hist-match',
@ -93,10 +96,10 @@ class ConverterMasked(Converter):
self.blur_mask_modifier = base_blur_mask_modifier + np.clip ( io.input_int ("Choose blur mask modifier [-200..200] (skip:%d) : " % (default_blur_mask_modifier), default_blur_mask_modifier), -200, 200)
self.output_face_scale = np.clip ( 1.0 + io.input_int ("Choose output face scale modifier [-50..50] (skip:0) : ", 0)*0.01, 0.5, 1.5)
if self.mode != 'raw':
self.color_transfer_mode = io.input_str ("Apply color transfer to predicted face? Choose mode ( rct/lct skip:None ) : ", None, ['rct','lct'])
self.super_resolution = io.input_bool("Apply super resolution? (y/n ?:help skip:n) : ", False, help_message="Enhance details by applying DCSCN network.")
if self.mode != 'raw':
@ -173,12 +176,12 @@ class ConverterMasked(Converter):
prd_face_mask_a_0 = cv2.resize (dst_face_mask_a_0, (output_size,output_size), cv2.INTER_CUBIC)
elif self.mask_mode >= 3 and self.mask_mode <= 6:
if self.mask_mode == 3 or self.mask_mode == 5 or self.mask_mode == 6:
if self.mask_mode == 3 or self.mask_mode == 5 or self.mask_mode == 6:
prd_face_bgr_256 = cv2.resize (prd_face_bgr, (256,256) )
prd_face_bgr_256_mask = self.fan_seg.extract( prd_face_bgr_256 )
FAN_prd_face_mask_a_0 = cv2.resize (prd_face_bgr_256_mask, (output_size,output_size), cv2.INTER_CUBIC)
if self.mask_mode == 4 or self.mask_mode == 5 or self.mask_mode == 6:
if self.mask_mode == 4 or self.mask_mode == 5 or self.mask_mode == 6:
face_256_mat = LandmarksProcessor.get_transform_mat (img_face_landmarks, 256, face_type=FaceType.FULL)
dst_face_256_bgr = cv2.warpAffine(img_bgr, face_256_mat, (256, 256), flags=cv2.INTER_LANCZOS4 )
dst_face_256_mask = self.fan_seg.extract( dst_face_256_bgr )
@ -192,7 +195,7 @@ class ConverterMasked(Converter):
prd_face_mask_a_0 = FAN_prd_face_mask_a_0 * FAN_dst_face_mask_a_0
elif self.mask_mode == 6:
prd_face_mask_a_0 = prd_face_mask_a_0 * FAN_prd_face_mask_a_0 * FAN_dst_face_mask_a_0
prd_face_mask_a_0[ prd_face_mask_a_0 < 0.001 ] = 0.0
prd_face_mask_a = prd_face_mask_a_0[...,np.newaxis]
@ -316,7 +319,7 @@ class ConverterMasked(Converter):
if self.masked_hist_match:
hist_mask_a *= prd_face_mask_a
white = (1.0-hist_mask_a)* np.ones ( prd_face_bgr.shape[:2] + (1,) , dtype=np.float32)
hist_match_1 = prd_face_bgr*hist_mask_a + white
@ -326,10 +329,10 @@ class ConverterMasked(Converter):
hist_match_2[ hist_match_1 > 1.0 ] = 1.0
prd_face_bgr = imagelib.color_hist_match(hist_match_1, hist_match_2, self.hist_match_threshold )
#if self.masked_hist_match:
# prd_face_bgr -= white
if self.mode == 'hist-match-bw':
prd_face_bgr = prd_face_bgr.astype(dtype=np.float32)
@ -401,7 +404,7 @@ class ConverterMasked(Converter):
if debug:
debugs += [ np.clip( cv2.warpAffine( new_out_face_bgr, face_output_mat, img_size, np.zeros(img_bgr.shape, dtype=np.float32), cv2.WARP_INVERSE_MAP | cv2.INTER_LANCZOS4, cv2.BORDER_TRANSPARENT ), 0, 1.0) ]
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 )
@ -430,4 +433,3 @@ class ConverterMasked(Converter):
debugs += [out_img.copy()]
return debugs if debug else out_img