def create_dataset_structure(dest, subsets):
if os.path.exists(dataset_dest):
raise Exception("Destination folder already exists")
os.makedirs(dataset_dest)
for set in subsets:
sub_dir = dataset_dest + "/" + set
os.makedirs(sub_dir)
os.makedirs(sub_dir + "/labels")
os.makedirs(sub_dir + "/data")
dataset_base = "/home/olav/Pictures/Norwegian_roads_dataset"
dataset_dest = "/home/olav/Pictures/Norwegian_roads_dataset_alpha"
datasets = loader.get_dataset(dataset_base)
color_to_alpha = False
content = ["data"]
create_dataset_structure(dataset_dest, datasets)
for set in datasets:
for t in content:
rel_path = "/" + set + "/" + t
images = loader.get_image_files(dataset_base + rel_path)
for img_path in images:
src_path = dataset_base + rel_path + "/" + img_path
dest_path = dataset_dest + rel_path + "/" + img_path
def load_dataset(self):
test_path, train_path, valid_path = util.get_dataset(self.dataset_path)
self.test = Dataset("Test set", self.dataset_path, test_path, self.reduce_testing )
self.train = Dataset("Training set", self.dataset_path, train_path, self.reduce_training )
self.valid = Dataset("Validation set", self.dataset_path, valid_path, self.reduce_validation)
