import cv2 import os from pathlib import Path def extract_frames(video_path, output_dir=None, frames_per_second=25): """ 从视频中提取帧图像 Parameters: video_path (str): 视频文件路径 output_dir (str): 输出目录，默认为视频同名文件夹 frames_per_second (int): 每秒提取的帧数 """ # 创建输出目录 if output_dir is None: video_name = Path(video_path).stem output_dir = f"E:BaiduNetdiskDownload\{video_name}_frames" os.makedirs(output_dir, exist_ok=True) # 打开视频文件 cap = cv2.VideoCapture(video_path) if not cap.isOpened(): print(f"无法打开视频文件: {video_path}") return # 获取视频基本信息 fps = cap.get(cv2.CAP_PROP_FPS) total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) duration = total_frames / fps print(f"视频信息:") print(f" 路径: {video_path}") print(f" FPS: {fps}") print(f" 总帧数: {total_frames}") print(f" 时长: {duration:.2f} 秒") print(f" 每秒提取帧数: {frames_per_second}") # 计算提取间隔 frame_interval = fps / frames_per_second print(f" 提取间隔: 每 {frame_interval} 帧提取一次") frame_count = 0 saved_count = 0 while True: ret, frame = cap.read() if not ret: break # 更精确的帧采样判断 expected_frame_number = round(saved_count * (fps / frames_per_second)) if frame_count >= expected_frame_number: # 生成文件名 timestamp = frame_count / fps filename = f"frame_{saved_count:06d}_{timestamp:.3f}s.jpg" filepath = os.path.join(output_dir, filename) # 保存高质量JPEG图像 cv2.imwrite(filepath, frame, [cv2.IMWRITE_JPEG_QUALITY, 95]) saved_count += 1 # 显示进度 progress = (frame_count / total_frames) * 100 print(f"
处理进度: {progress:.1f}% ({saved_count} 帧已保存)", end='') frame_count += 1 # 释放资源 cap.release() print(f"
完成! 共提取 {saved_count} 帧图像到目录: {output_dir}") if __name__ == "__main__": # 设置视频路径 video_path = r"E:BaiduNetdiskDownloadmmexport1765869882377.mp4" # 提取帧，每秒25帧 extract_frames(video_path, frames_per_second=25)