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Merge pull request #1 from faceshiftlabs/pull-request/fix/fs-aug-random-seeding

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Fixes bug in fs-aug implementation
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Ognjen 2021-03-24 22:19:43 +01:00 • committed by GitHub
commit 239e0fdd5d
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2 changed files with 16 additions and 14 deletions
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24
core/imagelib/color_transfer.py
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@ -1,7 +1,7 @@
import cv2
import numpy as np
from numpy import linalg as npla
from random import random, shuffle, choice
import random
from scipy.stats import special_ortho_group
import scipy as sp
@ -371,23 +371,24 @@ def color_transfer(ct_mode, img_src, img_trg):
# imported from faceswap
def color_augmentation(img):
def color_augmentation(img, seed=None):
""" Color adjust RGB image """
face = img
face = np.clip(face*255.0, 0, 255).astype(np.uint8)
face = random_clahe(face)
face = random_lab(face)
face = random_clahe(face, seed)
face = random_lab(face, seed)
img[:, :, :3] = face
return (face / 255.0).astype(np.float32)
def random_lab(image):
def random_lab(image, seed=None):
""" Perform random color/lightness adjustment in L*a*b* colorspace """
random.seed(seed)
amount_l = 30 / 100
amount_ab = 8 / 100
randoms = [(random() * amount_l * 2) - amount_l, # L adjust
(random() * amount_ab * 2) - amount_ab, # A adjust
(random() * amount_ab * 2) - amount_ab] # B adjust
randoms = [(random.random() * amount_l * 2) - amount_l, # L adjust
(random.random() * amount_ab * 2) - amount_ab, # A adjust
(random.random() * amount_ab * 2) - amount_ab] # B adjust
image = cv2.cvtColor( # pylint:disable=no-member
image, cv2.COLOR_BGR2LAB).astype("float32") / 255.0 # pylint:disable=no-member
@ -400,15 +401,16 @@ def random_lab(image):
cv2.COLOR_LAB2BGR) # pylint:disable=no-member
return image
def random_clahe(image):
def random_clahe(image, seed=None):
""" Randomly perform Contrast Limited Adaptive Histogram Equalization """
contrast_random = random()
random.seed(seed)
contrast_random = random.random()
if contrast_random > 50 / 100:
return image
# base_contrast = image.shape[0] // 128
base_contrast = 1 # testing because it breaks on small sizes
grid_base = random() * 4
grid_base = random.random() * 4
contrast_adjustment = int(grid_base * (base_contrast / 2))
grid_size = base_contrast + contrast_adjustment

2
samplelib/SampleProcessor.py
View file

@ -204,7 +204,7 @@ class SampleProcessor(object):
# Apply random color transfer
if ct_mode is not None and ct_sample is not None or ct_mode == 'fs-aug':
if ct_mode == 'fs-aug':
img = imagelib.color_augmentation(img)
img = imagelib.color_augmentation(img, sample_rnd_seed)
else:
if ct_sample_bgr is None:
ct_sample_bgr = ct_sample.load_bgr()