def initialise_dataset_loader(self, data_param=None, task_param=None,
system_param=None):
BaseApplication.initialise_dataset_loader(
self, data_param, task_param, system_param)
self.data_param = data_param
self.gan_param = task_param
// read each line of csv files into an instance of Subject
if self.is_training:
self.readers = [ImageReader(["image", "conditioning"], "train")]
if self.has_validation_data and self.action_param.validate_every_n:
self.readers.append(ImageReader(["image", "conditioning"],
"validation"))
else: // in the inference process use image input only
After Change
self.readers.append(ImageReader(["image", "conditioning"]))
else: // in the inference process use image input only
self.readers = [ImageReader(["image"])]
file_list = data_partitioner.get_file_list()
for reader in self.readers:
reader.initialise(data_param, task_param, file_list)
if self.net_param.normalise_foreground_only: