它的基本原理是：首先利用Python语言对视频文件进行解析，提取视频的特征参数，如帧率、码率等；然后根据特...
defframe_generator():video_paths=tf.io.gfile.glob(VIDEOS_PATH)np.random.shuffle(video_paths)forvideo_pathinvideo_paths:frames=[]cap=cv2.VideoCapture(video_path)num_frames=int(cap.get(cv2.CAP_PROP_FRAME_COUNT))sample_every_frame=max(1,num_frames//SEQUENCE_LENGTH)current_frame=0max_images=SE...
if video.get(cv2.CAP_PROP_POS_FRAMES) % keyframe_interval == 0: keyframes.append(frame) # 释放视频对象 video.release() # 创建输出视频对象 output = cv2.VideoWriter('output.mp4', cv2.VideoWriter_fourcc(*'mp4v'), 30, (keyframes[0].shape[1], keyframes[0].shape[0])) # 将关键帧写入...
shot_change_points.append(int(video.get(cv2.CAP_PROP_POS_FRAMES) - 1)) # 释放视频对象 video.release() # 创建输出视频对象 output = cv2.VideoWriter('output.mp4', cv2.VideoWriter_fourcc(*'mp4v'), 30, (int(video.get(3)), int(video.get(4))) # 根据镜头切换点提取关键帧并写入输出视频 ...
cap = cv2.VideoCapture(vidfile) I then get things like file fps or number of frames using various cap.get calls, example: fps = cap.get(cv2.CAP_PROP_FPS) Or, to start the read at a specific frame I would run: cap.set(cv2.CAP_PROP_POS_MSEC, startframe*1000/fps) ...
Python牛已经不是一天两天的事了，但是我开始也没想到，Python能这么牛。前段时间接触了一个批量抠图的...
cap.set(cv2.CAP_PROP_POS_FRAMES,i) # 读取帧并保存为图片 ret,frame=cap.read() ifret: # 指定输出文件名 output_file=os.path.join(output_folder,f'{frame_count:04d}.png') # print('\r\n geneframe:',output_file,end='') # 保存帧到输出文件 ...
python中如果导入cv2,如下python代码cap=cv2.VideoCapture(‘video.mp4’)ret,frame=cap.read()返回值ret是布尔型,正确读取则返回True,读取失败或读取视频结尾则会返回False。frame为最后一帧的图像。 A、正确B、错误 点击查看答案&解析手机看题 你可能感兴趣的试题 单项选择题 、已知x为?空列表,那么表达式sorted(...
视频硬字幕提取,生成srt文件。无需申请第三方API,本地实现文本识别。基于深度学习的视频字幕提取框架,包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files. - video-subtitle-extractor/gu
百度试题 题目 在创建了摄像头对象cap = cv2.VideoCapture("videoTest/test1.mp4") 后下列代码的作用为:cap.release()cv2.destroyAllWindows() A.释放摄像头对象和窗口B.保存图片C.逐帧播放视频D.读取视频 相关知识点: 试题来源: 解析 A 反馈 收藏 ...