def __getitem__(self, index):
img = self.list_files[index]
img_path = os.path.join(self.root_dir, img)
image = np.array(Image.open(img_path))
input_image = image[:, :600] # images are 1200xsomething
target_image = image[:, 600:]
augmentations = config.both_transform(image=input_image,
image0=target_image)
input_image, target_image = augmentations["image"], augmentations[
"image0"]
input_image = config.transform_only_input(image=input_image)["image"]
target_image = config.transform_only_mask(image=target_image)["image"]
return input_image, target_image
def __getitem__(self, index):
img_file = self.list_files[index]
img_path = os.path.join(self.root_dir, img_file)
image = np.array(Image.open(img_path))
input_image = image[:, :512, :] #
target_image = image[:, 512:, :]
augmentations = config.both_transform(image=input_image,
image0=target_image)
input_image = augmentations["image"]
target_image = augmentations["image0"]
input_image = config.transform_only_input(image=input_image)["image"]
target_image = config.transform_only_mask(image=target_image)["image"]
return input_image, target_image
def __getitem__(self, index):
img_file = self.list_files[index]
img_path = os.path.join(self.root_dir, img_file)
image = np.array(Image.open(img_path))
# Split image by half
input_image = image[:, :600, :]
target_image = image[:, 600:, :]
# Data augmentation
augmentations = config.both_transform(image=input_image,
image0=target_image)
input_image, target_image = augmentations["image"], augmentations[
"image0"]
input_image = config.transform_only_input(image=input_image)["image"]
target_image = config.transform_only_input(image=target_image)["image"]
return input_image, target_image
def __getitem__(self, index):
img_file_A = self.list_files_A[index]
img_file_B = self.list_files_B[index]
img_path_A = os.path.join(self.A_folder, img_file_A)
img_path_B = os.path.join(self.B_folder, img_file_B)
input_image = np.array(Image.open(img_path_A))
target_image = np.array(Image.open(img_path_B))
augmentations = config.both_transform(image=input_image,
image0=target_image)
input_image = augmentations["image"]
target_image = augmentations["image0"]
input_image = config.transform_only_input(image=input_image)["image"]
target_image = config.transform_only_mask(image=target_image)["image"]
return input_image, target_image