github/DeepFaceLab
1
0
Fork 0
mirror of https://github.com/iperov/DeepFaceLab.git synced 2025-07-06 04:52:13 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions

XSeg trainer: added random relighting sample augmentation to improve generalization

Browse source
This commit is contained in:
iperov 2021-04-26 10:51:06 +04:00
parent 23130cd56a
commit e53d1b1820
3 changed files with 103 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

8
samplelib/SampleGeneratorFaceXSeg.py
View file

@ -138,6 +138,8 @@ class SampleGeneratorFaceXSeg(SampleGeneratorBase):
bg_img = imagelib.apply_random_hsv_shift(bg_img)
else:
bg_img = imagelib.apply_random_rgb_levels(bg_img)
c_mask = 1.0 - (1-bg_mask) * (1-mask)
rnd = np.random.uniform()
@ -151,12 +153,16 @@ class SampleGeneratorFaceXSeg(SampleGeneratorBase):
mask[mask < 0.5] = 0.0
mask[mask >= 0.5] = 1.0
mask = np.clip(mask, 0, 1)
if np.random.randint(4) < 3:
img = imagelib.apply_random_relight(img)
if np.random.randint(2) == 0:
img = imagelib.apply_random_hsv_shift(img, mask=sd.random_circle_faded ([resolution,resolution]))
else:
img = imagelib.apply_random_rgb_levels(img, mask=sd.random_circle_faded ([resolution,resolution]))
if np.random.randint(2) == 0:
# random face flare
krn = np.random.randint( resolution//4, resolution )