python 视频播放拖动_python + opencv鼠标拖动视频区域裁剪

「爱情、让人受尽委屈。」 2022-10-22 12:00 193阅读 0赞

\# -\*- coding: utf-8 -\*-

import sys

import cv2

import numpyas np

import time

import sys

\# from PyQt5.QtCore import \*

\# from PyQt5.QtGui import \*

\# from PyQt5.QtWidgets import \*

current\_pos= None

tl= None

br= None

\#鼠标事件

def get\_rect(im, title='get\_rect'):  \#  (a,b) = get\_rect(im, title='get\_rect')

mouse\_params= \{'tl': None, 'br': None, 'current\_pos': None,

'released\_once': False\}

cv2.namedWindow(title)

cv2.moveWindow(title, 100, 100)

def onMouse(event, x, y, flags, param):

param\['current\_pos'\]= (x, y)

if param\['tl'\]is not None and not (flags & cv2.EVENT\_FLAG\_LBUTTON):

param\['released\_once'\]= True

if flags & cv2.EVENT\_FLAG\_LBUTTON:

if param\['tl'\]is None:

param\['tl'\]= param\['current\_pos'\]

elif param\['released\_once'\]:

param\['br'\]= param\['current\_pos'\]

cv2.setMouseCallback(title, onMouse, mouse\_params)

cv2.imshow(title, im)

while mouse\_params\['br'\]is None:

im\_draw= np.copy(im)

if mouse\_params\['tl'\]is not None:

cv2.rectangle(im\_draw, mouse\_params\['tl'\],

mouse\_params\['current\_pos'\], (0, 240, 120))

cv2.imshow(title, im\_draw)

\_= cv2.waitKey(10)

cv2.destroyWindow(title)

tl= (min(mouse\_params\['tl'\]\[0\], mouse\_params\['br'\]\[0\]),

min(mouse\_params\['tl'\]\[1\], mouse\_params\['br'\]\[1\]))

br= (max(mouse\_params\['tl'\]\[0\], mouse\_params\['br'\]\[0\]),

max(mouse\_params\['tl'\]\[1\], mouse\_params\['br'\]\[1\]))

return (tl, br)\#tl=(y1,x1), br=(y2,x2)

\#读取摄像头/视频，然后用鼠标事件画框

def readVideo(pathName, skipFrame, new\_path):  \#pathName为视频文件路径，skipFrame为视频的第skipFrame帧

cap= cv2.VideoCapture(0)\#读取摄像头

if not cap.isOpened():  \#如果为发现摄像头，则按照路径pathName读取视频文件

cap= cv2.VideoCapture(pathName)\#读取视频文件，如pathName='D:/test/test.mp4'

c= 1

s= 0

while(cap.isOpened()):

s+= 1

if s== 2:

break

ret, frame= cap.read()

print('................................s%s',s)

gray= cv2.cvtColor(frame, cv2.COLOR\_BGR2GRAY)

if(c>=skipFrame):

mask = np.zeros(gray.shape, dtype=np.uint8)\#掩码操作，该矩阵与图片大小类型一致，为初始化全0像素值，之后对其操作区域赋值为1即可

if(c==skipFrame):

(a,b)= get\_rect(frame, title='get\_rect')\#鼠标画矩形框

img01, img02 = frame, frame

gray01, gray02 = gray, gray

fps= cap.get(cv2.CAP\_PROP\_FPS)\# 获取视频帧率

fourcc = cv2.VideoWriter\_fourcc(\*'MPEG')\# 使用XVID编码器

print('test info ...............')

Width\_choose= b\[0\]- a\[0\]\# 选中区域的宽

Height\_choose= b\[1\]- a\[1\]\# 选中区域的高

print("视频选中区域的宽：%d" % Width\_choose, '\\n'"视频选中区域的高：%d" % Height\_choose)

print(Width\_choose)

print(Height\_choose)

cv2.VideoWriter\_fourcc('m', 'p', '4', 'v')

out= cv2.VideoWriter(new\_path, cv2.VideoWriter\_fourcc('m', 'p', '4', 'v'), fps,

(Width\_choose, Height\_choose))\# 参数分别是：保存的文件名、编码器、帧率、视频宽高

Video\_choose = np.zeros((Width\_choose, Height\_choose, 3), np.uint8)

num= 0

while True:

num+= 1

print num

grabbed, frame1= cap.read()\# 逐帧采集视频流

if not grabbed:

break

if num== 374:

print frame1

print('....................fram')

print grabbed

print frame1

if  frame1.any()==None:

print('..................ssssss')

break

gray\_lwpCV= cv2.cvtColor(frame1, cv2.COLOR\_BGR2GRAY)\#cv2.cvtColor(frame1, cv2.COLOR\_BGR2GRAY)  \# 转灰度图

frame\_data= np.array(gray\_lwpCV)\# 每一帧循环存入数组

box\_data= frame\_data\[a\[1\]:b\[1\], a\[0\]:b\[0\]\]\# 取矩形目标区域

pixel\_sum= np.sum(box\_data, axis=1)\# 行求和q

x= range(Height\_choose)

emptyImage= np.zeros((Width\_choose\* 10, Height\_choose\* 2, 3), np.uint8)

Video\_choose= frame1\[a\[1\]:b\[1\], a\[0\]:b\[0\]\]

out.write(Video\_choose)

cv2.imshow('Video\_choose', Video\_choose)

for iin x:

cv2.rectangle(emptyImage, (i\* 2, (Width\_choose- pixel\_sum\[i\]// 255)\* 10),

((i+ 1)\* 2, Width\_choose\* 10),

(0, 240, 120), 1)

emptyImage = cv2.resize(emptyImage, (320, 240))

\# lwpCV\_box = cv2.rectangle(frame, tuple(self.coor\[1, :\]), tuple(self.coor\[2, :\]), (0, 255, 0), 2)

cv2.imshow('lwpCVWindow', frame)\# 显示采集到的视频流

\# videoWriter.write(lwpCV\_box)  \# 将截取到的画面写入“新视频”

\# videoWriter = ('lwpCVWindow', frame)

\# cv2.imshow('sum', emptyImage)  \# 显示画出的条形图

key= cv2.waitKey(1)& 0xFF

if key== ord('q'):

break

\# out.release()

\# camera.release()

\# cv2.destroyAllWindows()

else:

img1, img2 = prev\_frame, frame

gray1, gray2 = prev\_frame, frame

cv2.imshow('frame', frame)

c= c+ 1

prev\_gray = gray

prev\_frame= frame

if cv2.waitKey(1)& 0xFF == ord('q'):    \#点击视频窗口，按q键退出

break

cap.release()

cv2.destroyAllWindows()

python 视频播放拖动_python + opencv鼠标拖动视频区域裁剪

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