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# PEAQ aggregate score
"""
/path/to/results/delimit_6_s/score_peaq.txt
"""
import os
import glob
import argparse
import json
def str2bool(v):
if v.lower() in ("yes", "true", "t", "y", "1"):
return True
elif v.lower() in ("no", "false", "f", "n", "0"):
return False
else:
raise argparse.ArgumentTypeError("Boolean value expected.")
parser = argparse.ArgumentParser(description="model test.py")
parser.add_argument(
"--target",
type=str,
default="all",
help="target source. all, vocals, drums, bass, other",
)
parser.add_argument(
"--root",
type=str,
default="/path/to/musdb18hq_loudnorm",
)
parser.add_argument(
"--output_directory",
type=str,
default="/path/to/results",
)
parser.add_argument("--exp_name", type=str, default="delimit_6_s")
parser.add_argument(
"--calc_results",
type=str2bool,
default=True,
help="Set this True when you want to calculate the results of the test set. Set this False when calculating musdb-hq vs musdb-XL. (top row in Table 1.)",
)
args, _ = parser.parse_known_args()
if args.calc_results:
args.test_output_dir = f"{args.output_directory}/test/{args.exp_name}"
else:
args.test_output_dir = f"{args.output_directory}/{args.exp_name}"
if args.target == "all":
score_path = f"{args.test_output_dir}/score_peaq.txt"
else:
score_path = f"{args.test_output_dir}/score_peaq_{args.target}.txt"
# write the code to load score_peaq.txt
with open(score_path, "r") as f:
score_txt = f.readlines()
song_list = glob.glob(f"{args.root}/*")
dict_song_peaq = {}
list_peaq = []
for idx, song in enumerate(song_list):
song_name = os.path.basename(song)
peaq = float(score_txt[idx * 2].replace("Objective Difference Grade: ", ""))
dict_song_peaq[song_name] = peaq
list_peaq.append(peaq)
print(f"{args.exp_name} on {args.target}")
print(f"PEAQ score: {sum(list_peaq) / len(list_peaq)}")
if args.target == "all":
# save dict_song_peaq to json file
with open(f"{args.test_output_dir}/score_peaq.json", "w") as f:
json.dump(dict_song_peaq, f, indent=4)
else:
# save dict_song_peaq to json file
with open(
f"{args.test_output_dir}/score_peaq_{args.target}.json",
"w",
) as f:
json.dump(dict_song_peaq, f, indent=4)
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