Python opencv提取视频中的图片

作者：R语言和Python学堂
链接：https://www.jianshu.com/p/e3c04d4fb5f3

这个函数就是本文要介绍的video2frames()函数，功能就是从视频中提取图片，名称“video2frames”是我自己取的，还比较形象。现将它分享给大家，感兴趣的小伙伴们可以参考一下，完整代码附在文末。

1. 主要功能

这个函数有以下主要功能：

提取特定时间点图片，比如：提取视频第3秒，第5秒，第9秒图片
设定提取的起始时刻，比如：从视频的第10秒开始提取
设定提取的终止时刻，比如：100秒后的视频不提取图片
设定每隔多少秒提取一张图片，比如：每隔2秒从视频中提取一张图片

2. 函数参数

video2frames()函数的原型为：

video2frames(pathIn='', 
             pathOut='', 
             only_output_video_info = False, 
             extract_time_points = None, 
             initial_extract_time = 0,
             end_extract_time = None,
             extract_time_interval = -1, 
             output_prefix = 'frame',
             jpg_quality = 100,
             isColor = True)

各参数的意义：

pathIn：视频的路径，比如：F:\python_tutorials\test.mp4
pathOut：设定提取的图片保存在哪个文件夹下，比如：F:\python_tutorials\frames\。如果该文件夹不存在，函数将自动创建它
only_output_video_info：如果为True，只输出视频信息（长度、帧数和帧率），不提取图片
extract_time_points：提取的时间点，单位为秒，为元组数据，比如，(2, 3, 5)表示只提取视频第2秒，第3秒，第5秒图片
initial_extract_time：提取的起始时刻，单位为秒，默认为0（即从视频最开始提取）
end_extract_time：提取的终止时刻，单位为秒，默认为None（即视频终点）
extract_time_interval：提取的时间间隔，单位为秒，默认为-1（即输出时间范围内的所有帧）
output_prefix：图片的前缀名，默认为frame，那么图片的名称将为frame_000001.jpg、frame_000002.jpg、frame_000003.jpg......
jpg_quality：设置图片质量，范围为0到100，默认为100（质量最佳）
isColor：如果为False，输出的将是黑白图片

目前只支持输出jpg格式图片

3. 例子

下面来测试一下这个函数的功能：

设置only_output_video_info为True，将只输出视频信息，不提取图片

>>> pathIn = 'test.mp4'
>>> video2frames(pathIn, only_output_video_info=True)
only output the video information (without extract frames)::::::
Duration of the video: 5.28 seconds
Number of frames: 132
Frames per second (FPS): 25.0

可以看到，视频test.mp4的长度为5.28秒，共132帧，帧率为25.0

提取所有图片，并保存到指定文件夹下

>>> pathIn = 'test.mp4'
>>> pathOut = './frames1/'
>>> video2frames(pathIn, pathOut)
Converting a video into frames......
Write a new frame: True, 1/132
Write a new frame: True, 2/132
..............................
Write a new frame: True, 131/132
Write a new frame: True, 132/132

可以看到，视频的132帧图片全部提取到frames1文件夹下

设置extract_time_points参数，提取特定时间点的图片

>>> pathIn = 'test.mp4'
>>> pathOut = './frames2'
>>> video2frames(pathIn, pathOut, extract_time_points=(1, 2, 5))
Write a new frame: True, 1th
Write a new frame: True, 2th
Write a new frame: True, 3th

可以看到，只提取了第1秒，第2秒和第5秒图片

每隔一段时间提取图片，并设置初始时刻和终止时刻

>>> pathIn = 'test.mp4'
>>> pathOut = './frames3'
>>> video2frames(pathIn, pathOut,
                 initial_extract_time=1,
                 end_extract_time=3,
                 extract_time_interval = 0.5) 
Converting a video into frames......
Write a new frame: True, 1th
Write a new frame: True, 2th
Write a new frame: True, 3th
Write a new frame: True, 4th
Write a new frame: True, 5th

可以看到，1到3秒内的视频每隔0.5秒提取图片，共5张图片（分别为1s, 1.5s, 2s, 2.5s, 3s时刻的图片）

设置jpg_quality参数，改变输出图片的质量

>>> pathOut = './frames4'
>>> pathIn = 'test.mp4'
>>> video2frames(pathIn, pathOut, extract_time_points=(0.3, 2), jpg_quality=50)
Write a new frame: True, 1th
Write a new frame: True, 2th

设置isColor参数为False，提取的照片将是黑白色

>>> pathOut = './frames5'
>>> pathIn = 'test.mp4'
>>> video2frames(pathIn, pathOut, extract_time_points=(0.3, 2), isColor=False)
Write a new frame: True, 1th
Write a new frame: True, 2th

video2frames()函数的功能测试到此结束。

4. 完整代码

函数为通用型的，因此代码较长，可能还存在可以优化的地方，仅供参考。

完整代码如下：

# -*- coding: utf-8 -*-
import os
import cv2    ##加载OpenCV模块

def video2frames(pathIn='', 
                 pathOut='', 
                 only_output_video_info = False, 
                 extract_time_points = None, 
                 initial_extract_time = 0,
                 end_extract_time = None,
                 extract_time_interval = -1, 
                 output_prefix = 'frame',
                 jpg_quality = 100,
                 isColor = True):
    '''
    pathIn：视频的路径，比如：F:\python_tutorials\test.mp4
    pathOut：设定提取的图片保存在哪个文件夹下，比如：F:\python_tutorials\frames1\。如果该文件夹不存在，函数将自动创建它
    only_output_video_info：如果为True，只输出视频信息（长度、帧数和帧率），不提取图片
    extract_time_points：提取的时间点，单位为秒，为元组数据，比如，(2, 3, 5)表示只提取视频第2秒， 第3秒，第5秒图片
    initial_extract_time：提取的起始时刻，单位为秒，默认为0（即从视频最开始提取）
    end_extract_time：提取的终止时刻，单位为秒，默认为None（即视频终点）
    extract_time_interval：提取的时间间隔，单位为秒，默认为-1（即输出时间范围内的所有帧）
    output_prefix：图片的前缀名，默认为frame，图片的名称将为frame_000001.jpg、frame_000002.jpg、frame_000003.jpg......
    jpg_quality：设置图片质量，范围为0到100，默认为100（质量最佳）
    isColor：如果为False，输出的将是黑白图片
    '''
    
    cap = cv2.VideoCapture(pathIn)  ##打开视频文件
    n_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))  ##视频的帧数
    fps = cap.get(cv2.CAP_PROP_FPS)  ##视频的帧率
    dur = n_frames/fps  ##视频的时间
    
    ##如果only_output_video_info=True, 只输出视频信息，不提取图片
    if only_output_video_info:
        print('only output the video information (without extract frames)::::::')
        print("Duration of the video: {} seconds".format(dur))
        print("Number of frames: {}".format(n_frames))
        print("Frames per second (FPS): {}".format(fps)) 
    
    ##提取特定时间点图片
    elif extract_time_points is not None:
        if max(extract_time_points) > dur:   ##判断时间点是否符合要求
            raise NameError('the max time point is larger than the video duration....')
        try:
            os.mkdir(pathOut)
        except OSError:
            pass
        success = True
        count = 0
        while success and count < len(extract_time_points):
            cap.set(cv2.CAP_PROP_POS_MSEC, (1000*extract_time_points[count])) 
            success,image = cap.read()
            if success:
                if not isColor:
                    image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)  ##转化为黑白图片
                print('Write a new frame: {}, {}th'.format(success, count+1))
                cv2.imwrite(os.path.join(pathOut, "{}_{:06d}.jpg".format(output_prefix, count+1)), image, [int(cv2.IMWRITE_JPEG_QUALITY), jpg_quality])     # save frame as JPEG file
                count = count + 1

    else:
        ##判断起始时间、终止时间参数是否符合要求
        if initial_extract_time > dur:
            raise NameError('initial extract time is larger than the video duration....')
        if end_extract_time is not None:
            if end_extract_time > dur:
                raise NameError('end extract time is larger than the video duration....')
            if initial_extract_time > end_extract_time:
                raise NameError('end extract time is less than the initial extract time....')
        
        ##时间范围内的每帧图片都输出
        if extract_time_interval == -1:
            if initial_extract_time > 0:
                cap.set(cv2.CAP_PROP_POS_MSEC, (1000*initial_extract_time)) 
            try:
                os.mkdir(pathOut)
            except OSError:
                pass
            print('Converting a video into frames......')
            if end_extract_time is not None:
                N = (end_extract_time - initial_extract_time)*fps + 1
                success = True
                count = 0
                while success and count < N:
                    success,image = cap.read()
                    if success:
                        if not isColor:
                            image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
                        print('Write a new frame: {}, {}/{}'.format(success, count+1, n_frames))
                        cv2.imwrite(os.path.join(pathOut, "{}_{:06d}.jpg".format(output_prefix, count+1)), image, [int(cv2.IMWRITE_JPEG_QUALITY), jpg_quality])     # save frame as JPEG file
                        count =  count + 1
            else:
                success = True
                count = 0
                while success:
                    success,image = cap.read()
                    if success:
                        if not isColor:
                            image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
                        print('Write a new frame: {}, {}/{}'.format(success, count+1, n_frames))
                        cv2.imwrite(os.path.join(pathOut, "{}_{:06d}.jpg".format(output_prefix, count+1)), image, [int(cv2.IMWRITE_JPEG_QUALITY), jpg_quality])     # save frame as JPEG file
                        count =  count + 1

        ##判断提取时间间隔设置是否符合要求    
        elif extract_time_interval > 0 and extract_time_interval < 1/fps:
            raise NameError('extract_time_interval is less than the frame time interval....')
        elif extract_time_interval > (n_frames/fps):
            raise NameError('extract_time_interval is larger than the duration of the video....')
        
        ##时间范围内每隔一段时间输出一张图片
        else:
            try:
                os.mkdir(pathOut)
            except OSError:
                pass
            print('Converting a video into frames......')
            if end_extract_time is not None:
                N = (end_extract_time - initial_extract_time)/extract_time_interval + 1
                success = True
                count = 0
                while success and count < N:
                    cap.set(cv2.CAP_PROP_POS_MSEC, (1000*initial_extract_time+count*1000*extract_time_interval)) 
                    success,image = cap.read()
                    if success:
                        if not isColor:
                            image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
                        print('Write a new frame: {}, {}th'.format(success, count+1))
                        cv2.imwrite(os.path.join(pathOut, "{}_{:06d}.jpg".format(output_prefix, count+1)), image, [int(cv2.IMWRITE_JPEG_QUALITY), jpg_quality])     # save frame as JPEG file
                        count = count + 1
            else:
                success = True
                count = 0
                while success:
                    cap.set(cv2.CAP_PROP_POS_MSEC, (1000*initial_extract_time+count*1000*extract_time_interval)) 
                    success,image = cap.read()
                    if success:
                        if not isColor:
                            image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
                        print('Write a new frame: {}, {}th'.format(success, count+1))
                        cv2.imwrite(os.path.join(pathOut, "{}_{:06d}.jpg".format(output_prefix, count+1)), image, [int(cv2.IMWRITE_JPEG_QUALITY), jpg_quality])     # save frame as JPEG file
                        count = count + 1



##### 测试
pathIn = 'test.mp4'
video2frames(pathIn, only_output_video_info = True)

pathOut = './frames1/'
video2frames(pathIn, pathOut)

pathOut = './frames2'
video2frames(pathIn, pathOut, extract_time_points=(1, 2, 5))

pathOut = './frames3'
video2frames(pathIn, pathOut,
             initial_extract_time=1,
             end_extract_time=3,
             extract_time_interval = 0.5)   

pathOut = './frames4/'
video2frames(pathIn, pathOut, extract_time_points=(0.3, 2), isColor = False)


pathOut = './frames5/'
video2frames(pathIn, pathOut, extract_time_points=(0.3, 2), jpg_quality=50)

Python opencv提取视频中的图片

1. 主要功能

2. 函数参数

3. 例子

4. 完整代码

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