Change args from output_dir to model_name

slice.py

@@ -5,6 +5,7 @@ from pathlib import Path
 
 import soundfile as sf
 import torch
+import yaml
 from tqdm import tqdm
 
 from common.log import logger
@@ -76,6 +77,7 @@ def split_wav(
     os.makedirs(target_dir, exist_ok=True)
 
     total_time_ms = 0
+    count = 0
 
     # タイムスタンプに従って分割し、ファイルに保存
     for i, ts in enumerate(speech_timestamps):
@@ -88,8 +90,9 @@ def split_wav(
 
         sf.write(os.path.join(target_dir, f"{file_name}-{i}.wav"), segment, sr)
         total_time_ms += end_ms - start_ms
+        count += 1
 
-    return total_time_ms / 1000
+    return total_time_ms / 1000, count
 
 
 if __name__ == "__main__":
@@ -108,11 +111,11 @@ if __name__ == "__main__":
         help="Directory of input wav files",
     )
     parser.add_argument(
-        "--output_dir",
+        "--model_name",
-        "-o",
+        "-m",
         type=str,
-        default="raw",
+        required=True,
-        help="Directory of output wav files",
+        help="The result will be in Data/{model_name}/raw/ (if Data is dataset_root in configs/paths.yml)",
     )
     parser.add_argument(
         "--min_silence_dur_ms",
@@ -123,8 +126,12 @@ if __name__ == "__main__":
     )
     args = parser.parse_args()
 
+    with open(os.path.join("configs", "paths.yml"), "r", encoding="utf-8") as f:
+        path_config: dict[str, str] = yaml.safe_load(f.read())
+        dataset_root = path_config["dataset_root"]
+
     input_dir = args.input_dir
-    output_dir = args.output_dir
+    output_dir = os.path.join(dataset_root, args.model_name, "raw")
     min_sec = args.min_sec
     max_sec = args.max_sec
     min_silence_dur_ms = args.min_silence_dur_ms
@@ -137,8 +144,9 @@ if __name__ == "__main__":
         shutil.rmtree(output_dir)
 
     total_sec = 0
+    total_count = 0
     for wav_file in tqdm(wav_files, file=SAFE_STDOUT):
-        time_sec = split_wav(
+        time_sec, count = split_wav(
             audio_file=str(wav_file),
             target_dir=output_dir,
             min_sec=min_sec,
@@ -146,5 +154,8 @@ if __name__ == "__main__":
             min_silence_dur_ms=min_silence_dur_ms,
         )
         total_sec += time_sec
+        total_count += count
 
-    logger.info(f"Slice done! Total time: {total_sec / 60:.2f} min.")
+    logger.info(
+        f"Slice done! Total time: {total_sec / 60:.2f} min, {total_count} files."
+    )

webui_dataset.py

@@ -25,11 +25,10 @@ def do_slice(
     if model_name == "":
         return "Error: モデル名を入力してください。"
     logger.info("Start slicing...")
-    output_dir = os.path.join(dataset_root, model_name, "raw")
     cmd = [
         "slice.py",
-        "--output_dir",
+        "--model_name",
-        output_dir,
+        model_name,
         "--min_sec",
         str(min_sec),
         "--max_sec",