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# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from PIL import Image
import os
from glob import glob
from tqdm import tqdm
import random
import argparse
import time
from src.utils.data_utils import json_dump, json_load
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--input_dir", type=str, default="../examples")
parser.add_argument("--test_list_name", type=str, default="base_test_list_200")
args = parser.parse_args()
return args
def read_txt_first_line(file_path):
with open(file_path, "r") as f:
return f.readline().strip()
def read_txt_second_line(file_path):
with open(file_path, "r") as f:
f.readline()
return f.readline().strip()
if __name__ == '__main__':
args = parse_args()
final_score = {}
files = sorted(list(glob(f"{args.input_dir}/dpg_scores_*.txt")))
if len(files) > 0:
score = read_txt_first_line(files[-1]).split(":")[-1]
final_score["dpg"] = score
files = sorted(list(glob(f"{args.input_dir}/id_scores_*.txt")))
if len(files) > 0:
score = read_txt_first_line(files[-1]).split(":")[-1]
final_score["id"] = score
files = sorted(list(glob(f"{args.input_dir}/ip_scores_*.txt")))
if len(files) > 0:
score = read_txt_first_line(files[-1]).split(":")[-1]
final_score["ip"] = score
files = sorted(list(glob(f"{args.input_dir}/clip_scores_*.txt")))
if len(files) > 0:
score_i = read_txt_first_line(files[-1]).split(":")[-1]
score_t = read_txt_second_line(files[-1]).split(":")[-1]
final_score["clip_i"] = score_i
final_score["clip_t"] = score_t
files = sorted(list(glob(f"{args.input_dir}/aes_scores_*.txt")))
if len(files) > 0:
score = read_txt_first_line(files[-1]).split(":")[-1]
final_score["aes"] = score
if "dpg" in final_score and "id" in final_score and "ip" in final_score and "aes" in final_score:
score = (float(final_score["dpg"]) + float(final_score["id"]) + float(final_score["ip"]) + float(final_score["aes"])) / 4
final_score["avg"] = score
run_name = time.strftime("%Y%m%d-%H%m")
json_dump(final_score, f"{args.input_dir}/idip_all_scores_{run_name}.json", "utf-8")
print(final_score)
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