def duplicate_dataset_imgs_helper(dataset_path, out_dataset_path, fname_start,
fname_end):
print("")
print("")
print("Duplicate seed on:")
print("Dataset: " + dataset_path)
print("")
print("Out Training Set: " + out_dataset_path)
training_path = common.dataset_path(dataset_path, net)
out_training_path = common.dataset_path(out_dataset_path, net)
trainingset = ImageDataset()
print("loading hdf5 training set: {}".format(training_path))
trainingset.load_hdf5(training_path)
print("hdf5 file loaded.")
print("Getting sub dataset from filename filters...")
seeds_dataset = trainingset.sub_dataset_from_filename(
filename_start_with=fname_start, filename_end_with=fname_end)
print("Merging seed-only sub dataset with original dataset")
trainingset.merge_with_dataset(seeds_dataset)
print("Saving merged dataset in: " + out_training_path)
trainingset.save_hdf5(out_training_path)
print("Done.")
def exp_duplicate_seed():
dataset = cfg.DATASET
for crop_size in cfg.all_crop_sizer:
crop = crop_size['crop']
size = crop_size['size']
train_path = common.dataset_path(dataset + '_train', crop, size)
train_path_ds = common.dataset_path(dataset + '_train_ds', crop, size)
print("")
print("")
print("Duplicate seed on:")
print("Training Set: " + train_path)
print("")
print("Out Training Set: " + train_path_ds)
trainingset = ImageDataset()
print("loading hdf5 training set: {}".format(train_path))
trainingset.load_hdf5(train_path)
print("hdf5 file loaded.")
print("Getting sub dataset from filter (seed files)...")
seeds_dataset = trainingset.sub_dataset_from_filename(filename_start_with=FNAME_START_WITH)
print("Merging seed-only sub dataset with original dataset")
trainingset.merge_with_dataset(seeds_dataset)
print("Saving merged dataset in: " + train_path_ds)
trainingset.save_hdf5(train_path_ds)
print("Done.")
print("")
print("All done.")