import os import shutil import torch import cv2 from pathlib import Path import logging from tqdm import tqdm import concurrent.futures from threading import Lock import time class FileChecker: def __init__(self, source_dir, corrupted_dir, max_workers=32): self.source_dir = Path(source_dir) self.corrupted_dir = Path(corrupted_dir) self.max_workers = max_workers self.lock = Lock() # 统计信息 self.stats = { 'total_pt': 0, 'total_mp4': 0, 'corrupted_pt': 0, 'corrupted_mp4': 0, 'moved_files': [], 'failed_moves': [] } self.setup_logging() def setup_logging(self): """设置日志记录""" logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s', handlers=[ logging.FileHandler('file_check.log'), logging.StreamHandler() ] ) self.logger = logging.getLogger(__name__) def check_pt_file(self, file_path): """检查.pt文件是否损坏""" try: # 尝试加载torch文件 data = torch.load(file_path, map_location='cpu') # 额外检查：确保数据不为空 if data is None: return False return True except Exception as e: return False def check_mp4_file(self, file_path): """检查.mp4文件是否损坏""" try: # 尝试打开视频文件 cap = cv2.VideoCapture(str(file_path)) if not cap.isOpened(): return False # 检查视频属性 frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) fps = cap.get(cv2.CAP_PROP_FPS) width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) # 基本属性检查 if frame_count <= 0 or fps <= 0 or width <= 0 or height <= 0: cap.release() return False # 尝试读取几帧来验证 frames_to_check = min(3, frame_count) for i in range(frames_to_check): ret, frame = cap.read() if not ret or frame is None: cap.release() return False cap.release() return True except Exception as e: return False def move_corrupted_file(self, file_path, file_type): """移动损坏的文件""" try: # 保持原有的目录结构 relative_path = file_path.relative_to(self.source_dir) new_path = self.corrupted_dir / relative_path new_path.parent.mkdir(parents=True, exist_ok=True) # 移动文件 shutil.move(str(file_path), str(new_path)) with self.lock: self.stats['moved_files'].append(str(file_path)) if file_type == 'pt': self.stats['corrupted_pt'] += 1 else: self.stats['corrupted_mp4'] += 1 self.logger.info(f"已移动损坏文件: {file_path} -> {new_path}") return True except Exception as e: with self.lock: self.stats['failed_moves'].append(str(file_path)) self.logger.error(f"移动文件失败 {file_path}: {e}") return False def process_pt_file(self, file_path): """处理单个.pt文件""" with self.lock: self.stats['total_pt'] += 1 if not self.check_pt_file(file_path): self.logger.warning(f"发现损坏的 .pt 文件: {file_path}") return self.move_corrupted_file(file_path, 'pt') return True def process_mp4_file(self, file_path): """处理单个.mp4文件""" with self.lock: self.stats['total_mp4'] += 1 if not self.check_mp4_file(file_path): self.logger.warning(f"发现损坏的 .mp4 文件: {file_path}") return self.move_corrupted_file(file_path, 'mp4') return True def process_files(self): """多线程处理文件""" # 创建损坏文件存储目录 self.corrupted_dir.mkdir(parents=True, exist_ok=True) # 收集所有目标文件 pt_files = list(self.source_dir.rglob('*.pt')) # mp4_files = list(self.source_dir.rglob('*.mp4')) self.logger.info(f"找到 {len(pt_files)} 个 .pt 文件") # self.logger.info(f"找到 {len(mp4_files)} 个 .mp4 文件") self.logger.info(f"使用 {self.max_workers} 个线程进行处理") start_time = time.time() # 处理.pt文件 if pt_files: self.logger.info("开始多线程检查 .pt 文件...") with concurrent.futures.ThreadPoolExecutor(max_workers=self.max_workers) as executor: # 提交所有任务 future_to_file = {executor.submit(self.process_pt_file, file_path): file_path for file_path in pt_files} # 使用tqdm显示进度 for future in tqdm(concurrent.futures.as_completed(future_to_file), total=len(pt_files), desc="检查 .pt 文件"): file_path = future_to_file[future] try: future.result() except Exception as e: self.logger.error(f"处理文件 {file_path} 时出错: {e}") # # 处理.mp4文件 # if mp4_files: # self.logger.info("开始多线程检查 .mp4 文件...") # with concurrent.futures.ThreadPoolExecutor(max_workers=self.max_workers) as executor: # # 提交所有任务 # future_to_file = {executor.submit(self.process_mp4_file, file_path): file_path # for file_path in mp4_files} # # 使用tqdm显示进度 # for future in tqdm(concurrent.futures.as_completed(future_to_file), # total=len(mp4_files), desc="检查 .mp4 文件"): # file_path = future_to_file[future] # try: # future.result() # except Exception as e: # self.logger.error(f"处理文件 {file_path} 时出错: {e}") end_time = time.time() processing_time = end_time - start_time # 输出统计结果 self.print_statistics(processing_time) return self.stats def print_statistics(self, processing_time): """输出统计结果""" self.logger.info("=" * 60) self.logger.info("检查完成！统计结果:") self.logger.info(f"处理时间: {processing_time:.2f} 秒") self.logger.info(f"使用线程数: {self.max_workers}") self.logger.info(f"总 .pt 文件数: {self.stats['total_pt']}") self.logger.info(f"损坏 .pt 文件数: {self.stats['corrupted_pt']}") self.logger.info(f"总 .mp4 文件数: {self.stats['total_mp4']}") self.logger.info(f"损坏 .mp4 文件数: {self.stats['corrupted_mp4']}") self.logger.info(f"成功移动文件数: {len(self.stats['moved_files'])}") self.logger.info(f"移动失败文件数: {len(self.stats['failed_moves'])}") if self.stats['total_pt'] + self.stats['total_mp4'] > 0: total_files = self.stats['total_pt'] + self.stats['total_mp4'] files_per_second = total_files / processing_time self.logger.info(f"平均处理速度: {files_per_second:.2f} 文件/秒") self.logger.info("=" * 60) def main(): # 配置参数 source_dir = "/mnt/bn/yufan-dev-my/ysh/Ckpts/Lixsp11/0_final_sekai_dataset" corrupted_dir = "/mnt/bn/yufan-dev-my/ysh/Datasets/corrupted_files" max_workers = 8 print(f"源目录: {source_dir}") print(f"损坏文件将移动到: {corrupted_dir}") print(f"并发线程数: {max_workers}") print("=" * 50) # 创建文件检查器并执行 checker = FileChecker(source_dir, corrupted_dir, max_workers) stats = checker.process_files() # 保存移动文件列表 if stats['moved_files']: with open('moved_files_list.txt', 'w') as f: for file_path in stats['moved_files']: f.write(f"{file_path}\n") print(f"已将移动的文件列表保存到 moved_files_list.txt") # 保存失败文件列表 if stats['failed_moves']: with open('failed_moves_list.txt', 'w') as f: for file_path in stats['failed_moves']: f.write(f"{file_path}\n") print(f"已将移动失败的文件列表保存到 failed_moves_list.txt") if __name__ == "__main__": main()