File size: 4,149 Bytes
6033337 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 | #!/usr/bin/env python3
import os
import glob
def check_processing_progress():
"""Check the progress of FT_work dataset processing"""
# Paths
data_path = "/apdcephfs_gy4/share_303628665/joywu/dataset/FT_work/videos/train"
save_path = "/apdcephfs_gy5/share_303628665/joyewu/research/AVH-Align/ft_work_preprocessed/train"
print("=== FT_Work 数据集处理进度检查 ===")
print(f"数据路径: {data_path}")
print(f"输出路径: {save_path}")
print()
# Find all MP4 files in the dataset
print("扫描数据集中的MP4文件...")
mp4_files = []
for mp4_path in glob.glob(os.path.join(data_path, "**", "*.mp4"), recursive=True):
rel_path = os.path.relpath(mp4_path, data_path)
mp4_files.append(rel_path)
total_files = len(mp4_files)
print(f"总MP4文件数: {total_files}")
print()
# Check processing status
processed_files = []
unprocessed_files = []
failed_files = []
for mp4_file in mp4_files:
video_dir = os.path.dirname(mp4_file)
video_basename = os.path.basename(mp4_file)
output_dir = os.path.join(save_path, video_dir)
roi_path = os.path.join(output_dir, video_basename[:-4] + '_roi.mp4')
wav_path = os.path.join(output_dir, video_basename[:-4] + '.wav')
if os.path.exists(roi_path) and os.path.exists(wav_path):
processed_files.append(mp4_file)
else:
unprocessed_files.append(mp4_file)
# Check if it's a known problematic file
if "Real_CelebV-HQ" in mp4_file or "Real_HDTF" in mp4_file:
failed_files.append(mp4_file)
# Display results
processed_count = len(processed_files)
unprocessed_count = len(unprocessed_files)
failed_count = len(failed_files)
print("=== 处理状态汇总 ===")
print(f"✅ 已处理完成: {processed_count} 个文件 ({processed_count/total_files*100:.1f}%)")
print(f"⏳ 待处理: {unprocessed_count} 个文件 ({unprocessed_count/total_files*100:.1f}%)")
print(f"❌ 已知问题文件: {failed_count} 个文件")
print()
if processed_files:
print("✅ 已处理的文件示例:")
for i, file in enumerate(processed_files[:5]):
print(f" {i+1}. {file}")
if len(processed_files) > 5:
print(f" ... 还有 {len(processed_files) - 5} 个文件")
print()
if unprocessed_files:
print("⏳ 待处理的文件示例:")
for i, file in enumerate(unprocessed_files[:10]):
print(f" {i+1}. {file}")
if len(unprocessed_files) > 10:
print(f" ... 还有 {len(unprocessed_files) - 10} 个文件")
print()
if failed_files:
print("❌ 已知问题文件 (可能需要特殊处理):")
for i, file in enumerate(failed_files[:10]):
print(f" {i+1}. {file}")
if len(failed_files) > 10:
print(f" ... 还有 {len(failed_files) - 10} 个文件")
print()
# Recommendations
print("=== 建议 ===")
if unprocessed_count > 0:
print("1. 可以继续运行预处理命令，程序会自动跳过已处理的文件")
print("2. 建议使用较少的worker数量进行测试:")
print(" python deepfake_preprocess.py --dataset FT_work --split train --data_path /apdcephfs_gy4/share_303628665/joywu/dataset/FT_work/videos --save_path /apdcephfs_gy5/share_303628665/joyewu/research/AVH-Align/ft_work_preprocessed --max_workers 8")
if failed_count > 0:
print("3. 对于Real_CelebV-HQ和Real_HDTF文件，可能需要检查视频格式或质量")
print()
print("=== 重新运行命令 ===")
print("python deepfake_preprocess.py \\")
print(" --dataset FT_work \\")
print(" --split train \\")
print(" --data_path /apdcephfs_gy4/share_303628665/joywu/dataset/FT_work/videos \\")
print(" --save_path /apdcephfs_gy5/share_303628665/joyewu/research/AVH-Align/ft_work_preprocessed")
if __name__ == "__main__":
check_processing_progress() |