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import os
import glob
import json
from pathlib import Path
from collections import OrderedDict
pretrained_models_dict = {'E2VID': "0000_000012", 'FireNet': "0000_000020",
'E2VID+': "0000_000000", 'FireNet+': "0000_000002",
'ET-Net': "0000_000030", 'SSL_E2VID': "0000_000040",
'SPADE_E2VID': "0000_000050"}
full_ref_metrics = ['mse', 'ssim', 'lpips']
no_ref_metrics = ['brisque', 'niqe', 'maniqa']
def read_json(fname):
fname = Path(fname)
with fname.open('rt') as handle:
return json.load(handle, object_hook=OrderedDict)
def get_filenames(base_path, filename_pattern):
file_names = []
glob_pattern = os.path.join(base_path, filename_pattern)
file_paths = glob.glob(glob_pattern)
for file_path in file_paths:
file_name = Path(file_path).stem
file_names.append(file_name)
return file_names
def get_dataset_config_names(data_configs_path):
data_configs_filename_pattern = "*.json"
return get_filenames(data_configs_path, data_configs_filename_pattern)
def get_sequence_names(data_configs_path, dataset_name):
sequences = []
dataset_file_name = os.path.join(data_configs_path, dataset_name + ".json")
dataset_config = read_json(dataset_file_name)
for sequence in dataset_config['sequences']:
sequences.append(sequence)
return sequences
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