如何实现在jupyter notebook中播放视频(不停地展示图片)

Z时代
2024-01-10
分类：综合

在解决图像处理问题的时候，可以利用opencv打开视频，并一帧一帧地show出来，但是要用到imshow()，需要本地的界面支持。

代码如下


# -*- coding:utf-8*-
import cv2
capture = cv2.VideoCapture("D:\\dataset\\chip_gesture.ts")
# 图像处理函数
def processImg(img):
 # 画出一个框
 cv2.rectangle(img, (500, 300), (800, 400), (0, 0, 255), 5, 1, 0)
 # 上下翻转
 # img= cv2.flip(img, 0)
 return img
# 一帧帧地show
while (capture.isOpened()):
 ret, frame = capture.read()
 if not ret:
 break
 result = processImg(frame)
cv2.imshow('result', result)
 # esc键退出
 if 0xFF & cv2.waitKey(30) == 27:
 break
cv2.destroyAllWindows()
capture.release()

但是当我们使用jupyter notebook" title="jupyter notebook">jupyter notebook来编写python程序的时候，cv2.imshow()就不行了。

最终的解决办法是使用ipython.display模块来解决。


from IPython.display import clear_output, Image, display, HTML
import time
import cv2
import base64
current_time = 0
# 图像处理函数
def processImg(img):
 # 画出一个框
 cv2.rectangle(img, (500, 300), (800, 400), (0, 0, 255), 5, 1, 0)
 # 上下翻转
 # img= cv2.flip(img, 0)
 # 显示FPS
 global current_time
 if current_time == 0:
  current_time = time.time()
 else:
  last_time = current_time
  current_time = time.time()
  fps = 1. / (current_time - last_time)
  text = "FPS: %d" % int(fps)
  cv2.putText(img, text , (0,100), cv2.FONT_HERSHEY_TRIPLEX, 3.65, (255, 0, 0), 2)
 return img
def arrayShow(imageArray):
 ret, png = cv2.imencode('.png', imageArray)
 encoded = base64.b64encode(png)
 return Image(data=encoded.decode('ascii'))
video = cv2.VideoCapture("/home/mvg/zmc/playgroud/远大前程27.mp4")
while(True):
 try:
  clear_output(wait=True)
  ret, frame = video.read()
  if not ret:
   break
  lines, columns, _ = frame.shape
  frame = processImg(frame)
  frame = cv2.resize(frame, (int(columns / 4), int(lines / 4)))
  img = arrayShow(frame)
  display(img)
  # 控制帧率
  time.sleep(0.02)
 except KeyboardInterrupt:
  video.release()