Python OpenCV对本地视频文件进行分帧保存

最新推荐文章于 2025-07-04 19:49:26 发布

duanyajun987

最新推荐文章于 2025-07-04 19:49:26 发布

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分类专栏：图像处理

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本文介绍了一种使用Python和OpenCV库将视频文件批量转换为固定尺寸的帧图片的方法。通过设置视频路径、帧保存路径、帧尺寸及时间间隔，可以高效地从多种格式的视频中提取帧，并保存为图片格式。

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# coding=utf-8
 
import os
import cv2
 
videos_src_path = "/home/wgp/视频/"
video_formats = [".MP4", ".MOV"]
frames_save_path = "/home/wgp/视频/"
width = 320
height = 240
time_interval = 50
 
 
def video2frame(video_src_path, formats, frame_save_path, frame_width, frame_height, interval):
    """
    将视频按固定间隔读取写入图片
    :param video_src_path: 视频存放路径
    :param formats:　包含的所有视频格式
    :param frame_save_path:　保存路径
    :param frame_width:　保存帧宽
    :param frame_height:　保存帧高
    :param interval:　保存帧间隔
    :return:　帧图片
    """
    videos = os.listdir(video_src_path)
 
    def filter_format(x, all_formats):
        if x[-4:] in all_formats:
            return True
        else:
            return False
 
    videos = filter(lambda x: filter_format(x, formats), videos)
 
    for each_video in videos:
        print "正在读取视频：", each_video
 
        each_video_name = each_video[:-4]
        os.mkdir(frame_save_path + each_video_name)
        each_video_save_full_path = os.path.join(frame_save_path, each_video_name) + "/"
 
        each_video_full_path = os.path.join(video_src_path, each_video)
 
        cap = cv2.VideoCapture(each_video_full_path)
        frame_index = 0
        frame_count = 0
        if cap.isOpened():
            success = True
        else:
            success = False
            print("读取失败!")
 
        while(success):
            success, frame = cap.read()
            print "---> 正在读取第%d帧:" % frame_index, success
 
            if frame_index % interval == 0:
                resize_frame = cv2.resize(frame, (frame_width, frame_height), interpolation=cv2.INTER_AREA)
                # cv2.imwrite(each_video_save_full_path + each_video_name + "_%d.jpg" % frame_index, resize_frame)
                cv2.imwrite(each_video_save_full_path + "%d.jpg" % frame_count, resize_frame)
                frame_count += 1
 
            frame_index += 1
 
    cap.release()
 
 
if __name__ == '__main__':
    video2frame(videos_src_path, video_formats, frames_save_path, width, height, time_interval)