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Add files using upload-large-folder tool

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  1. UrbanSound/gun_shot/102305.wav +3 -0
  2. UrbanSound/gun_shot/133797_000.wav +3 -0
  3. UrbanSound/gun_shot/135527_002.wav +3 -0
  4. UrbanSound/gun_shot/135528_002.wav +3 -0
  5. UrbanSound/gun_shot/135528_003.wav +3 -0
  6. UrbanSound/gun_shot/135544_000.wav +3 -0
  7. UrbanSound/gun_shot/136399_000.wav +3 -0
  8. UrbanSound/gun_shot/145608.wav +3 -0
  9. UrbanSound/gun_shot/148166.wav +3 -0
  10. UrbanSound/gun_shot/148833.wav +3 -0
  11. UrbanSound/gun_shot/148834.wav +3 -0
  12. UrbanSound/gun_shot/151065.wav +3 -0
  13. UrbanSound/gun_shot/156897_000.wav +3 -0
  14. UrbanSound/gun_shot/157799.wav +3 -0
  15. UrbanSound/gun_shot/157800.wav +3 -0
  16. UrbanSound/gun_shot/158979.wav +3 -0
  17. UrbanSound/gun_shot/159701.wav +3 -0
  18. UrbanSound/gun_shot/159707.wav +3 -0
  19. UrbanSound/gun_shot/161195.wav +3 -0
  20. UrbanSound/gun_shot/162432_000.wav +3 -0
  21. UrbanSound/gun_shot/162433.wav +3 -0
  22. UrbanSound/gun_shot/162435.wav +3 -0
  23. UrbanSound/gun_shot/174282_000.wav +3 -0
  24. UrbanSound/gun_shot/174282_001.wav +3 -0
  25. UrbanSound/gun_shot/174282_003.wav +3 -0
  26. UrbanSound/gun_shot/174282_005.wav +3 -0
  27. UrbanSound/gun_shot/174282_006.wav +3 -0
  28. UrbanSound/gun_shot/174284_000.wav +3 -0
  29. UrbanSound/gun_shot/174284_002.wav +3 -0
  30. UrbanSound/gun_shot/174284_003.wav +3 -0
  31. UrbanSound/gun_shot/174284_004.wav +3 -0
  32. UrbanSound/gun_shot/174285_000.wav +3 -0
  33. UrbanSound/gun_shot/174287_000.wav +3 -0
  34. UrbanSound/gun_shot/174289_000.wav +3 -0
  35. UrbanSound/gun_shot/174292_000.wav +3 -0
  36. UrbanSound/gun_shot/191449.wav +3 -0
  37. UrbanSound/gun_shot/197320_000.wav +3 -0
  38. UrbanSound/gun_shot/24631_000.wav +3 -0
  39. UrbanSound/gun_shot/24632_003.wav +3 -0
  40. UrbanSound/gun_shot/24632_005.wav +3 -0
  41. UrbanSound/gun_shot/24652_003.wav +3 -0
  42. UrbanSound/gun_shot/25037.wav +3 -0
  43. UrbanSound/gun_shot/25039.wav +3 -0
  44. UrbanSound/gun_shot/36403_000.wav +3 -0
  45. UrbanSound/gun_shot/46656.wav +3 -0
  46. UrbanSound/gun_shot/7067.wav +3 -0
  47. UrbanSound/gun_shot/76090.wav +3 -0
  48. UrbanSound/gun_shot/77246.wav +3 -0
  49. devide.py +57 -0
  50. statistic.py +89 -0
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UrbanSound/gun_shot/133797_000.wav ADDED
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+ size 348664
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+ size 1323044
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+ version https://git-lfs.github.com/spec/v1
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+ size 1272898
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+ version https://git-lfs.github.com/spec/v1
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+ size 326226
UrbanSound/gun_shot/76090.wav ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:f9b30caf53090bf91da2f1a12e10dafbcdf31915feb31ae26a8efdadc4a1b73c
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+ size 218188
UrbanSound/gun_shot/77246.wav ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:624422ecfb17cf130bb0d730fef0a7bd9f19cb334bc94c2e5fb2fc60d63c1ec0
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devide.py ADDED
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1
+ import os
2
+ import shutil
3
+
4
+ ROOT = "./"
5
+ MAX_FILES = 8000 # 每个子目录最多文件数
6
+
7
+ def split_directory(dirpath):
8
+ """
9
+ 将 dirpath 下的直接文件分成 part_xxx 子目录
10
+ """
11
+ print(f"→ Splitting directory: {dirpath}")
12
+
13
+ files = [
14
+ f for f in os.listdir(dirpath)
15
+ if os.path.isfile(os.path.join(dirpath, f))
16
+ ]
17
+
18
+ total = len(files)
19
+ print(f" Found {total} files.")
20
+
21
+ # 按 MAX_FILES 分块
22
+ for idx in range(0, total, MAX_FILES):
23
+ part = idx // MAX_FILES
24
+ subdir = os.path.join(dirpath, f"part_{part:03d}")
25
+ os.makedirs(subdir, exist_ok=True)
26
+
27
+ for filename in files[idx: idx + MAX_FILES]:
28
+ src = os.path.join(dirpath, filename)
29
+ dst = os.path.join(subdir, filename)
30
+ shutil.move(src, dst)
31
+
32
+ print(f" - Created {subdir}")
33
+
34
+ print(f"✔ Completed: {dirpath}\n")
35
+
36
+
37
+ def walk_and_process(root):
38
+ """
39
+ 递归遍历整个目录树,发现需要拆分的目录就拆分
40
+ """
41
+ for dirpath, dirnames, filenames in os.walk(root):
42
+ # 过滤掉我们自己创建的 part_000/part_001 目录,避免再次处理
43
+ dirnames[:] = [d for d in dirnames if not d.startswith("part_")]
44
+
45
+ file_count = len([
46
+ f for f in filenames
47
+ if os.path.isfile(os.path.join(dirpath, f))
48
+ ])
49
+
50
+ if file_count > 10000:
51
+ print(f"▶ Found big directory: {dirpath} ({file_count} files)")
52
+ split_directory(dirpath)
53
+
54
+
55
+ if __name__ == "__main__":
56
+ walk_and_process(ROOT)
57
+ print("🎉 All oversized directories processed.")
statistic.py ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python3
2
+ # -*- coding: utf-8 -*-
3
+
4
+ import os
5
+ import librosa
6
+ from collections import Counter
7
+ from tqdm import tqdm
8
+ import sys
9
+
10
+ def is_leaf_dir(path):
11
+ """判断是否为最原子的子文件夹(无子文件夹)"""
12
+ for item in os.listdir(path):
13
+ if os.path.isdir(os.path.join(path, item)):
14
+ return False
15
+ return True
16
+
17
+
18
+ def get_wav_length(path):
19
+ try:
20
+ y, sr = librosa.load(path, sr=None, mono=True)
21
+ return round(len(y) / sr)
22
+ except Exception as e:
23
+ print(f"读取失败: {path} 错误: {e}")
24
+ return None
25
+
26
+
27
+ def main(noise_root):
28
+ noise_root = os.path.abspath(noise_root)
29
+
30
+ print("扫描所有 leaf(最原子)子文件夹...\n")
31
+ leaf_dirs = []
32
+
33
+ # 遍历 noise 根目录下所有文件夹
34
+ for dataset in os.listdir(noise_root): # MUSAN、DEMAND、ESC50 …
35
+ dataset_path = os.path.join(noise_root, dataset)
36
+ if not os.path.isdir(dataset_path):
37
+ continue
38
+
39
+ # 深度遍历,找所有最原子的子文件夹
40
+ for root, dirs, files in os.walk(dataset_path):
41
+ if is_leaf_dir(root):
42
+ leaf_dirs.append(root)
43
+
44
+ print("发现的 leaf 文件夹:")
45
+ for d in leaf_dirs:
46
+ print(" -", d)
47
+
48
+ print("\n开始统计...\n")
49
+
50
+ all_results = {}
51
+
52
+ for leaf in leaf_dirs:
53
+ counter = Counter()
54
+ wav_count = 0
55
+
56
+ # 遍历该 leaf 下的所有 wav
57
+ for f in tqdm(os.listdir(leaf), desc=f"[{leaf}]"):
58
+ if not f.lower().endswith(".wav"):
59
+ continue
60
+
61
+ wav_count += 1
62
+ path = os.path.join(leaf, f)
63
+ L = get_wav_length(path)
64
+ if L is not None:
65
+ counter[L] += 1
66
+
67
+ all_results[leaf] = (wav_count, counter)
68
+
69
+ # 打印结果
70
+ print("\n============== 统计结果 ==============\n")
71
+
72
+ for leaf, (cnt, dist) in all_results.items():
73
+ print(f"📁 {leaf}")
74
+ print(f" WAV 数量:{cnt}")
75
+ print(" 时长分布(秒):")
76
+ for L in sorted(dist):
77
+ print(f" {L:2d}s : {dist[L]}")
78
+ print()
79
+
80
+ print("统计完成!")
81
+
82
+
83
+ if __name__ == "__main__":
84
+ if len(sys.argv) < 2:
85
+ print("用法: python stats_leaf_folders.py <noise根目录>")
86
+ print("示例: python stats_leaf_folders.py noise")
87
+ sys.exit(1)
88
+
89
+ main(sys.argv[1])