Seems to_deterministic uses single random seed among multi-times call, but NOT inside a batch:
import time
import random
import os
import glob
import cv2
import numpy as np
import imgaug as ia
import imgaug.augmenters as iaa
if __name__ == "__main__":
iapipline = \
iaa.Sequential([
iaa.Resize((0.8, 1.2), interpolation="linear"),
iaa.CenterPadToFixedSize(224, 128),
iaa.CenterCropToFixedSize(224, 128)
]).to_deterministic()
src_image_paths = glob.glob(os.path.join("pgs/cases/*.jpg"))
src_image_nps = [cv2.imread(e) for e in src_image_paths]
src_image_nps = np.stack(src_image_nps)
# every image in src_image_nps will use different random
rr = iapipline(images=src_image_nps)
rr = []
# only in this way will every image use the same random
for i in range(len(src_image_nps)):
rr.append(iapipline(image=src_image_nps[i]))
Seems
to_deterministic
uses single random seed among multi-times call, but NOT inside a batch:How to set the same random inside a batch?