import os import cv2 import datetime videos_src_path = r'F:/video' videos_save_path = r'F:/video' videos = os.listdir(videos_src_path) i = 0 for each_video in videos: print('Video Name :', each_video) each_video_name, _ = each_video.split('.') os.mkdir(videos_save_path + '/' + each_video_name) each_video_save_full_path = os.path.join(videos_save_path, each_video_name) + '/' each_video_full_path = os.path.join(videos_src_path, each_video) cap = cv2.VideoCapture(each_video_full_path) frame_count = 1 success = True while (success): success, frame = cap.read() cv2.waitKey(10) i = i + 1 if success == True: # uuid_str = time.strftime("%Y-%m-%d-%H_%M_%S.%f", time.localtime()) # 图片命名为当前时间 uuid_str = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f') uuid_str = str(uuid_str) uuid_str = uuid_str.replace(":", "-") # 去掉python读取时间中的:,文件命名不能有: uuid_str = uuid_str.replace(" ", "") # 去掉python读取时间中空格,文件命名不能空格: uuid_str = uuid_str.replace("-", "") uuid_str = uuid_str.replace("_", "") if i % 1 == 0: cv2.imwrite(each_video_save_full_path + uuid_str + '.png', frame) # cv2.imwrite(each_video_save_full_path + uuid_str + "%d.png" % frame_count, frame) frame_count = frame_count + 1 print('Final frame:', frame_count)
将视频转换为图片并以时间戳命名(制作orbslam3数据集)
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转载自blog.csdn.net/m0_61509658/article/details/126985533
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