pytorchAnimeGAN / example /generate_examples.py
ptran1203's picture
first
f2fa83b
import os
import cv2
import re
REG = re.compile(r"[0-9]{3}")
dir_ = './example/result'
readme = './README.md'
def anime_2_input(fi):
return fi.replace("_anime", "")
def rename(f):
return f.replace(" ", "").replace("(", "").replace(")", "")
def rename_back(f):
nums = REG.search(f)
if nums:
nums = nums.group()
return f.replace(nums, f"{nums[0]} ({nums[1:]})")
return f.replace('jpeg', 'jpg')
def copyfile(src, dest):
# copy and resize
im = cv2.imread(src)
if im is None:
raise FileNotFoundError(src)
h, w = im.shape[1], im.shape[0]
s = 448
size = (s, round(s * w / h))
im = cv2.resize(im, size)
print(w, h, im.shape)
cv2.imwrite(dest, im)
files = os.listdir(dir_)
new_files = []
for f in files:
input_ver = os.path.join(dir_, anime_2_input(f))
copyfile(f"dataset/test/HR_photo/{rename_back(anime_2_input(f))}", rename(input_ver))
os.rename(
os.path.join(dir_, f),
os.path.join(dir_, rename(f))
)