本程序用于提取視頻中的圖片。本程序由其他博主提供，在此表示感謝。
如有疑問可聯(lián)系hardenqiu@foxmail.com。

# -*- coding: utf-8 -*- import os import cv2 ##加載OpenCV模塊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：視頻的路徑，比如：F:\python_tutorials\test.mp4pathOut：設定提取的圖片保存在哪個文件夾下，比如：F:\python_tutorials\frames1\。如果該文件夾不存在，函數(shù)將自動創(chuàng)建它only_output_video_info：如果為True，只輸出視頻信息（長度、幀數(shù)和幀率），不提取圖片extract_time_points：提取的時間點，單位為秒，為元組數(shù)據(jù)，比如，(2, 3, 5)表示只提取視頻第2秒， 第3秒，第5秒圖片initial_extract_time：提取的起始時刻，單位為秒，默認為0（即從視頻最開始提取）end_extract_time：提取的終止時刻，單位為秒，默認為None（即視頻終點）extract_time_interval：提取的時間間隔，單位為秒，默認為-1（即輸出時間范圍內的所有幀）output_prefix：圖片的前綴名，默認為frame，圖片的名稱將為frame_000001.jpg、frame_000002.jpg、frame_000003.jpg......jpg_quality：設置圖片質量，范圍為0到100，默認為100（質量最佳）isColor：如果為False，輸出的將是黑白圖片'''cap = cv2.VideoCapture(pathIn) ##打開視頻文件n_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) ##視頻的幀數(shù)fps = cap.get(cv2.CAP_PROP_FPS) ##視頻的幀數(shù)dur = n_frames/fps ##視頻的時間##如果only_output_video_info=True, 只輸出視頻信息，不提取圖片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)) ##提取特定時間點圖片elif extract_time_points is not None:if max(extract_time_points) > dur: ##判斷時間點是否符合要求raise NameError('the max time point is larger than the video duration....')try:os.mkdir(pathOut)except OSError:passsuccess = Truecount = 0while 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) ##轉化為黑白圖片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 filecount = count + 1else:##判斷起始時間、終止時間參數(shù)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....')##時間范圍內的每幀圖片都輸出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:passprint('Converting a video into frames......')if end_extract_time is not None:N = (end_extract_time - initial_extract_time)*fps + 1success = Truecount = 0while 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 filecount = count + 1else:success = Truecount = 0while 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 filecount = count + 1##判斷提取時間間隔設置是否符合要求 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....')##時間范圍內每隔一段時間輸出一張圖片else:try:os.mkdir(pathOut)except OSError:passprint('Converting a video into frames......')if end_extract_time is not None:N = (end_extract_time - initial_extract_time)/extract_time_interval + 1success = Truecount = 0while 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 filecount = count + 1else:success = Truecount = 0while 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 filecount = count + 1##### 測試 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)

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