python --视频分帧,帧合成为图片

python --视频分帧,帧合成为图片

下载依赖

pip install opencv-python==4.0.0.21

实现

def video_to_frames(video_path, outPutDirName):
    """
    抽取视频帧存为图片
    :param video_path:
    :param outPutDirName:
    :return:
    """
    times = 0

    # 提取视频的频率，每1帧提取一个
    frame_frequency = 1

    # 如果文件目录不存在则创建目录
    if not os.path.exists(outPutDirName):
        os.makedirs(outPutDirName)

    # 读取视频帧
    camera = cv2.VideoCapture(video_path)

    while True:
        times = times + 1
        res, image = camera.read()
        if not res:
            print('not res , not image')
            break
        # 按照设置间隔存储视频帧
        if times % frame_frequency == 0:
            create_path = os.path.join(outPutDirName, f"{str(times)}.jpg")
            cv2.imwrite(create_path, image)

    logger.info('图片提取结束')
    # 释放摄像头设备
    camera.release()


def image_to_video(image_path, media_path, fps):
    '''
    图片合成视频函数
    :param image_path: 图片路径
    :param media_path: 合成视频保存路径
    :return:
    '''
    # 获取图片路径下面的所有图片名称
    image_names = os.listdir(image_path)
    # 对提取到的图片名称进行排序
    image_names.sort(key=lambda n: int(n[:-4]))
    # 设置写入格式
    fourcc = cv2.VideoWriter_fourcc('M', 'P', '4', 'V')
    # 设置每秒帧数
    fps = fps
    # 读取第一个图片获取大小尺寸，因为需要转换成视频的图片大小尺寸是一样的
    image = Image.open(os.path.join(image_path, image_names[0]))
    # 初始化媒体写入对象
    media_writer = cv2.VideoWriter(media_path, fourcc, fps, image.size)
    # 遍历图片，将每张图片加入视频当中
    for image_name in image_names:
        im = cv2.imread(os.path.join(image_path, image_name))
        media_writer.write(im)
    # 释放媒体写入对象
    media_writer.release()
    logger.info('无声视频写入完成！')