opencv计算机视觉学习笔记一
转载来自https://blog.csdn.net/retacn_yue/article/details/53608358
第二章 处理文件 摄像头和图形用户界面
1 基本i/o脚本
读写图像文件
示例代码如下:
!/usr/bin/env python
-- coding: utf-8 --
@Time : 2016/11/27 12:22
@Author : Retacn
@Site : 读/写图像文件
@File : imageReadWrite.py
@Software: PyCharm
import cv2
import numpy as np
from matplotlib import pyplot as plt
色正方形图像
img=np.zeros((3,3),dtype=np.uint8)
print(img)
输出内容如下:
[[0 0 0]
[0 0 0]
[0 0 0]]
查看图像结构
print(img.shape)
输出结果
(3, 3)
将图像转化成BGR
img2=cv2.cvtColor(img,cv2.COLOR_BAYER_BG2BGR)
print(img2)
输出内容如下:
[[[0 0 0]
[0 0 0]
[0 0 0]]
#
[[0 0 0]
[0 0 0]
[0 0 0]]
#
[[0 0 0]
[0 0 0]
[0 0 0]]]
查看图像结构
print(img2.shape)
输出结果为:
(3, 3, 3)
将png格式图像转换为jpeg格式
image=cv2.imread(‘../j.png’)
cv2.imwrite(‘../j.jpg’,image)
imread参数
IMREAD_ANYCOLOR = 4
IMREAD_ANYDEPTH = 2
IMREAD_COLOR = 1
IMREAD_GRAYSCALE = 0 灰度图像
IMREAD_LOAD_GDAL = 8
IMREAD_UNCHANGED = -1
显示图像
plt.subplot(221),plt.imshow(img)
plt.title(“img”),plt.xticks([]),plt.yticks([])
plt.subplot(222),plt.imshow(img2)
plt.title(“img2”),plt.xticks([]),plt.yticks([])
plt.subplot(223),plt.imshow(image)
plt.title(“image”),plt.xticks([]),plt.yticks([])
plt.show()
图像与原始字节之间的转换
示例代码如下:
!/usr/bin/env python
-- coding: utf-8 --
@Time : 2016/11/27 12:48
@Author : Retacn
@Site : 图像与原始字节之间的转换
@File : image2array.py
@Software: PyCharm
import cv2
import numpy as np
import os
from matplotlib import pyplot as plt
读入图像
img=cv2.imread(‘../test.jpg’,cv2.IMREAD_GRAYSCALE)
print(img)
显示转换为标准一维python bytearray
byteArray=bytearray(img)
img=cv2.imread(‘../test1.jpg’)
byteArray1=bytearray(img)
将字节转换为图像
grayImage=np.array(byteArray).reshape(220,265)
bgrImage=np.array(byteArray1).reshape(800,480,3)
将随机字节转换为灰度图像和BGR图像
创建随机字节
randomByteArray=bytearray(os.urandom(120000))
flatNumpyArray=np.array(randomByteArray)
将字节转换为400*300 的灰度图像
ran_grayImage=flatNumpyArray.reshape(300,400)
将字节转换为400*100的BGR图像
ran_bgrImage=flatNumpyArray.reshape(100,400,3)
显示图像
plt.subplot(221),plt.imshow(grayImage)
plt.title(“grayImage”),plt.xticks([]),plt.yticks([])
plt.subplot(222),plt.imshow(bgrImage)
plt.title(“bgrImage”),plt.xticks([]),plt.yticks([])
plt.subplot(223),plt.imshow(ran_grayImage)
plt.title(“ran_grayImage”),plt.xticks([]),plt.yticks([])
plt.subplot(224),plt.imshow(ran_bgrImage)
plt.title(“ran_bgrImage”),plt.xticks([]),plt.yticks([])
plt.show()
Array访问图形数据
!/usr/bin/env python
-- coding: utf-8 --
@Time : 2016/11/27 13:17
@Author : Retacn
@Site : array访问图像数据
@File : arrayAccessImage.py
@Software: PyCharm
import cv2
import numpy as np
from matplotlib import pyplot as plt
读入图像
img = cv2.imread(‘../test.jpg’)
print(img[0, 0])
修改图像数据
img[0, 0] = [255, 251, 251]
print(img[0, 0])
修改指定坐标的颜色值
print(img.item(150, 120, 0))
img.itemset((150,120,0),255)
print(img.item(150, 120, 0))
图像完全没有绿色
img[:,:,1]=0
将图像的一部份复制到图像的另一个位置
img_j = cv2.imread(‘../test1.jpg’)
my_roi=img_j[0:100,0:100]
img_j[200:300,200:300]=my_roi
取得图像属性
print(img.shape)#宽度/高度/通道数
print(img.size)#图像像素的大小
print(img.dtype)#图像的数据类型
显示图像
plt.subplot(121), plt.imshow(img)
plt.title(‘change’), plt.xticks([]), plt.yticks([])
plt.subplot(122), plt.imshow(img_j)
plt.title(‘img_j’), plt.xticks([]), plt.yticks([])
plt.show()
视频文件的读写
示例代码如下:
!/usr/bin/env python
-- coding: utf-8 --
@Time : 2016/11/27 13:57
@Author : Retacn
@Site : 视频文件的读写
@File : videoRead.py
@Software: PyCharm
import cv2
cameraCapture = cv2.VideoCapture(‘../test.avi’)
FPS = 30
size = (int(cameraCapture.get(cv2.CAP_PROP_FRAME_WIDTH))
, int(cameraCapture.get(cv2.CAP_PROP_FRAME_HEIGHT)))
videoWrite = cv2.VideoWriter(‘../testOut.avi’, cv2.VideoWriter_fourcc(‘I’, ‘4’, ‘2’, ‘0’), FPS, size)
success, frame = cameraCapture.read()
while success:
videoWrite.write(frame)
success, frame = cameraCapture.read()
cameraCapture.release()
捕获摄像头的帧
示例代码如下:
!/usr/bin/env python
-- coding: utf-8 --
@Time : 2016/11/27 13:39
@Author : Retacn
@Site : 捕获摄像头的帧
@File : videoReadWrite.py
@Software: PyCharm
import cv2
#
cameraCapture=cv2.VideoCapture(0)
FPS=30
size=(int(cameraCapture.get(cv2.CAP_PROP_FRAME_WIDTH))
,int(cameraCapture.get(cv2.CAP_PROP_FRAME_HEIGHT)))
videoWrite=cv2.VideoWriter(‘../test.avi’,cv2.VideoWriter_fourcc(‘I’,’4’,’2’,’0’),FPS,size)
success,frame=cameraCapture.read()
numFramesRemaining=10*FPS-1
while success and numFramesRemaining>0:
videoWrite.write(frame)
success,frame=cameraCapture.read()
numFramesRemaining-=1
cameraCapture.release()
当需要同步一组摄像头或是一个多头摄像头
success0=cameraCapture0.grab()
success1=cameraCapture1.grab()
if success0 and success1:
frame0=cameraCapture0.retrieve()
frame1=cameraCapture1.retrieve()
在窗口显示图像
示例代码如下:
!/usr/bin/env python
-- coding: utf-8 --
@Time : 2016/11/27 14:09
@Author : Retacn
@Site : 在窗口显示图像
@File : imageShow.py
@Software: PyCharm
import cv2
import numpy as np
img=cv2.imread(‘../test.jpg’)
cv2.imshow(‘Image’,img)
cv2.waitKey()
cv2.destroyAllWindows()
在窗口显示摄像头帧
!/usr/bin/env python
-- coding: utf-8 --
@Time : 2016/11/27 14:13
@Author : Retacn
@Site : 在窗口显示摄像头帧
@File : videoCamera.py
@Software: PyCharm
import cv2
import numpy as np
clicked=False
def onMouse(event,x,y,flags,param):
global clicked
if event==cv2.EVENT_LBUTTONUP:#左健抬起
clicked=True
cameraCapture=cv2.VideoCapture(0)
cv2.namedWindow(“VideoWindow”)
cv2.setMouseCallback(‘VideoWindow’,onMouse)
print(‘Showing camera feed,Click window or press any key to stop.’)
success,frame=cameraCapture.read()
while success and cv2.waitKey(1)==-1 and not clicked:
cv2.imshow(‘VideoWindow’,frame)
success,frame=cameraCapture.read()
cv2.destroyWindow(‘VideoWindow’)
cameraCapture.release()
2 cameo项目
3 cameo面向对象的设计
Managers.py文件
示例代码如下:
!/usr/bin/env python
-- coding: utf-8 --
@Time : 2016/11/28 13:30
@Author : Retacn
@Site : 面向对象的设计
@File : cameo.py
@Software: PyCharm
import cv2
import numpy as np
import time
”’
视频管理
”’
class CaptureManager(object):
def init(self,
capture, #摄像头通道
previewWindowManager=None,#窗口管理器
shouldMirrorPreview=False):#摄像头预览的镜像选项
self.previewWindowManager=previewWindowManager
self.shouldMirrorPreview=shouldMirrorPreview
#定义非公有变量,单下划线开始,为保护变量,只有类对象或子类对象可以访问 protected
#如果以双下划线开始,为私有成员变量,只有类对象自已可以访问,像private
self._capture=capture
self._channel=0
self._enteredFrame=False
self._frame=None
self._imageFilename=None
self._videoFilename=None
self._videoEncoding=None
self._videoWriter=None
self.startTime=None
self._framesElapsed=int(0)
self._fpsEstimate=None
@property
def channel(self):
return self._channel
@channel.setter
def channel(self,value):
if self._channel!=value:
self._channel=value
self._frame=None
@property
def frame(self):
if self._enteredFrame and self._frame is None:
_,self._frame=self._capture.retrieve()
return self._frame
@property
def isWritingImage(self):
return self._imageFilename is not None
@property
def isWritingVideo(self):
return self._videoFilename is not None
#只能同步一帧
def enterFrame(self):
assert not self._enteredFrame, \
'previous enterFrame() had no matching exitFrame()'
if self._capture is not None:
self._enteredFrame=self._capture.grab()
#可以从当前通道中取得图像,估计帧率,显示图像,执行暂停的请求,向文件中写入图像
def exitFrame(self):
if self.frame is None:
self._enteredFrame=False
return
#计算帧率
if self._framesElapsed==0:
self._startTime=time.time()
else:
timeElapsed=time.time()-self._startTime
self._fpsEstimate=self._framesElapsed/timeElapsed
self._framesElapsed+=1
#通过窗体显示图像
if self.previewWindowManager is not None:
if self.shouldMirrorPreview:
mirroredFrame=np.fliplr(self._frame).copy()
self.previewWindowManager.show(mirroredFrame)
else:
self.previewWindowManager.show(self._frame)
#保存图像文件
if self.isWritingImage:
cv2.imwrite(self._imageFilename,self._frame)
self._imageFilename=None
#保存视频文件
self._writeVideoFrame()
#释放资源
self._frame=None
self._enteredFrame=False
#保存图片,公有函数
def writeImage(self,filename):
self._imageFilename=filename
#开始保存视频,公有函数
def startWritingVideo(self,filename,encoding=cv2.VideoWriter_fourcc('I','4','2','0')):
self._videoFilename=filename
self._videoEncoding=encoding
#停止视频写入,公有函数
def stopWritingVideo(self):
self._videoFilename=None
self._videoEncoding=None
self._videoWriter=None
#写入视频帧
def _writeVideoFrame(self):
if not self.isWritingVideo:
return
if self._videoWriter is None:
fps=self._capture.get(cv2.CAP_PROP_FPS)
if fps==0.0:
if self._framesElapsed<20:
return
else:
fps=self._fpsEstimate
size=(int(self._capture.get(cv2.CAP_PROP_FRAME_WIDTH)),
int(self._capture.get(cv2.CAP_PROP_FRAME_HEIGHT)))
self._videoWriter=cv2.VideoWriter(self._videoFilename,
self._videoEncoding,
fps,
size)
self._videoWriter.write(self._frame)
”’
窗口管理,支持键盘事件
”’
class WindowManager(object):
def __init__(self,
windowName,#窗体名称
keypressCallback=None):#按键回调函数
self.keypressCallback=keypressCallback
self._windowName=windowName
self._isWindowCreate=False
#检查窗体是否被创建
@property
def isWindowCreated(self):
return self._isWindowCreate
#创建窗体
def createWindow(self):
cv2.namedWindow(self._windowName)
self._isWindowCreate=True
#显示图像
def show(self,frame):
cv2.imshow(self._windowName,frame)
#关闭窗体释放资源
def destroyWindow(self):
cv2.destroyWindow(self._windowName)
self._isWindowCreate=False
#处理键盘事件
def processEvents(self):
keycode=cv2.waitKey(1)
if self.keypressCallback is not None and keycode!=-1:
keycode&=0xFF #ESC 退出
self.keypressCallback(keycode)
cameo.py文件
示例代码如下:
!/usr/bin/env python
-- coding: utf-8 --
@Time : 2016/11/28 14:45
@Author : Retacn
@Site : cameo实现,有两种启动方法: run() 和 onkeypress()
@File : cameo.py.py
@Software: PyCharm
import cv2
from Two.cameo.managers import WindowManager,CaptureManager
class Cameo(object):
def __init__(self):
self._windowManager=WindowManager('Cameo',self.onkeypress)
self._captureManager=CaptureManager(cv2.VideoCapture(0),self._windowManager,True)
def run(self):
self._windowManager.createWindow()
while self._windowManager.isWindowCreated:
self._captureManager.enterFrame()
frame=self._captureManager.frame
self._captureManager.exitFrame()
self._windowManager.processEvents()
def onkeypress(self,keycode):
'''
space-> 载图
tab->启动和停止视频录制
esc->退出应用
:param keycode:
:return:
'''
if keycode==32:#space
self._captureManager.writeImage('screenshot.png')
elif keycode==9:#tab
if not self._captureManager.isWritingVideo:
self._captureManager.startWritingVideo('screencast.avi')
else:
self._captureManager.stopWritingVideo()
elif keycode==27:#esc
self._windowManager.destroyWindow()
if name==’main‘:
Cameo().run()
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