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import os
import os.path
from data.base_dataset import BaseDataset, get_transform
from data.image_folder import make_dataset
from PIL import Image
import random
import gevent
import time
class RecursiveDataset(BaseDataset):
def initialize(self, opt):
print('initialize')
self.opt = opt
self.root = opt.dataroot
self.dir_A = os.path.join(opt.dataroot)
self.A_paths = make_dataset(self.dir_A)
self.A_paths = sorted(self.A_paths)
self.transform = get_transform(opt)
def __getitem__(self, index):
A_path = os.path.join(self.opt.render_dir, "frame_{:05d}.png".format(index))
# print(A_path)
if not os.path.exists(A_path):
A_path2 = os.path.join(self.opt.render_dir, "frame_{:05d}.png".format(index+1))
if os.path.exists(A_path2):
# print('oops: {}'.format(A_path2))
A_path = A_path2
else:
# print('not there yet... {}'.format(A_path))
while not os.path.exists(A_path):
# print('sleeping for {}'.format(self.opt.poll_delay))
time.sleep(self.opt.poll_delay)
# print("got {}".format(A_path))
A_img = Image.open(A_path).convert('RGB')
A = self.transform(A_img)
if self.opt.which_direction == 'BtoA':
input_nc = self.opt.output_nc
else:
input_nc = self.opt.input_nc
if input_nc == 1: # RGB to gray
tmp = A[0, ...] * 0.299 + A[1, ...] * 0.587 + A[2, ...] * 0.114
A = tmp.unsqueeze(0)
return {'A': A, 'A_paths': A_path}
def __len__(self):
return 10000000
def name(self):
return 'RecursiveImageDataset'
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