def __getitem__(self, index):
orgData = utils.picCut(
np.array(image.open(self.filepath[index]).convert('RGB')),
config.crop_size_id) # RGB
noiData = utils.addGaussianNoise(orgData, 1)
return noiData.astype(np.float32).transpose(
[2, 0, 1]) / 255 - 0.5, orgData.astype(np.float32).transpose(
[2, 0, 1]) / 255 - 0.5
def __getitem__(self, index):
cropSize = utils.sizeRecurrect(config.crop_size_esr, config.up_scale)
hrPic = utils.picCut(
np.array(image.open(self.filepath[index]).convert('RGB')),
cropSize)
lrPic = utils.resize(
hrPic, (cropSize // config.up_scale, cropSize // config.up_scale))
return lrPic.astype(np.float32).transpose(
[2, 0, 1]) / 255 - 0.5, hrPic.astype(np.float32).transpose(
[2, 0, 1]) / 255 - 0.5
