Python3播放本地视频测试笔记——使用OpenCV库

#使用cv2读取显示视频

#引入math
import math
#引入opencv
import cv2

#opencv获取本地视频
cap = cv2.VideoCapture('test.mp4')

#打开文件状态
isopen = cap.isOpened()
if not isopen:
	print("Err: Video is failure. Exiting ...")

#视频时长总帧数
total_frame = cap.get(cv2.CAP_PROP_FRAME_COUNT)

#视频帧率
fps = cap.get(cv2.CAP_PROP_FPS)

#播放帧间隔毫秒数
wait = int(1000/fps) if fps else 1

#帧数计数器
read_frame = 0

#循环读取视频帧
while(isopen):
	#读取帧图像
	ret, frame = cap.read()

	#读取错误处理
	if not ret:
		if read_frame < total_frame:
			#读取错误
			print("Err: Can't receive frame. Exiting ...")
		else:
			#正常结束
			print("Info: Stream is End")
		break

	#帧数计数器+1
	read_frame = read_frame + 1
	print("frame:"+str(read_frame)+"/"+str(total_frame))

	#计算当前播放时码
	timecode_h = int(read_frame / fps / 60 /60)
	timecode_m = int(read_frame / fps / 60)
	timecode_s = read_frame / fps % 60
	s = math.modf( timecode_s )
	timecode_s = int(timecode_s)
	timecode_f = int(s[0] * fps)
	print("{:0>2d}:{:0>2d}:{:0>2d}.{:0>2d}".format(timecode_h,timecode_m,timecode_s,timecode_f))

	#显示帧图像
	cv2.imshow('image', frame)

	#播放间隔
	wk = cv2.waitKey( wait )

	#按键值  & 0xFF是一个二进制AND操作 返回一个不是单字节的代码
	keycode = wk & 0xff

	#空格键暂停
	if keycode == ord(" "):
		cv2.waitKey(0)

	#q键退出
	if keycode == ord('q'):
		print("Info: By user Cancal ...")
		break

#释放实例
cap.release()

#销毁窗口
cv2.destroyAllWindows()