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import cv2
import numpy as np
import os
def print_hi(name):
# Use a breakpoint in the code line below to debug your script.
print(f’Hi, {name}’) # Press Ctrl+F8 to toggle the breakpoint.
Press the green button in the gutter to run the script.
def onmouse(event,x,y,flag,param):
if event== cv2.EVENT_LBUTTONDOWN:
print(x,"–",y)
def stackImages(scale,imgArray):
rows = len(imgArray)
cols= len(imgArray[0])
rowsAvailable =isinstance(imgArray[0],list)
width = imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range(0,rows):
for y in range(0,cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y],(0,0),None,scale,scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y],(imgArray[0][0].shape[1],imgArray[0][0].shape[0]),None,scale,scale)
if len(imgArray[x][y].shape)==2: imgArray[x][y]=cv2.cvtColor(imgArray[x][y],cv2.COLOR_BGR2GRAY)
imageBlank = np.zeros(((height,width,3),np.uint8))
hor = [imageBlank]*rows
hor_con = [imageBlank]*rows
for x in range(0,rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
else:
for x in range(0,rows):
if imgArray[x].shape[:2]==imgArray[0].shape[:2]:
imgArray[x]=cv2.resize(imgArray[x],(0,0),None,scale,scale)
else:
imgArray[x]=cv2.resize(imgArray[x],(imgArray(0).shape[1],imgArray[0].shape[0]),None,scale,scale)
if len(imgArray[x].shape)==2: imgArray[x]=cv2.cvtColor(imgArray[x],cv2.COLOR_BGR2GRAY)
hor = np.hstack(imgArray)
ver=hor
return ver
def stackImages(scale,imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
# & 输出一个 rows * cols 的矩阵（imgArray）
print(rows,cols)
# & 判断imgArray[0] 是不是一个list
rowsAvailable = isinstance(imgArray[0], list)
# & imgArray[][] 是什么意思呢？
# & imgArray[0][0]就是指[0,0]的那个图片（我们把图片集分为二维矩阵，第一行、第一列的那个就是第一个图片）
# & 而shape[1]就是width，shape[0]是height，shape[2]是
width = imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
# & 例如，我们可以展示一下是什么含义
# cv2.imshow("img", imgArray[0][1])
if rowsAvailable:
for x in range (0, rows):
for y in range(0, cols):
# & 判断图像与后面那个图像的形状是否一致，若一致则进行等比例放缩；否则，先resize为一致，后进行放缩
if imgArray[x][y].shape[:2] == imgArray[0][0].shape [:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
# & 如果是灰度图，则变成RGB图像（为了弄成一样的图像）
if len(imgArray[x][y].shape) == 2: imgArray[x][y]= cv2.cvtColor( imgArray[x][y], cv2.COLOR_GRAY2BGR)
# & 设置零矩阵
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank]*rows
hor_con = [imageBlank]*rows
for x in range(0, rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
# & 如果不是一组照片，则仅仅进行放缩 or 灰度转化为RGB
else:
for x in range(0, rows):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None,scale, scale)
if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor= np.hstack(imgArray)
ver = hor
return ver
if name == ‘main’:
width,height = 250,350
src=cv2.imread("card.jpg")
src=cv2.resize(src,(width,height))
pts1 = np.float32([[127,257],[332,218],[176,571],[416,524]])
#cv2.imwrite("card.jpg",src)
pts2 = np.float32([[0,0],[width,0],[0,height],[width,height]])
hor = np.hstack((src,src))
ver = np.vstack((hor,hor))
#pts1 = np.float32([[0, 0], [width, 0], [height, 0], [width, height]])
#src = src[0:height,0:width]
matrix = cv2.getPerspectiveTransform(pts1,pts2)
img_out = cv2.warpPerspective(src,matrix,(width,height))
imgstack = stackImages(0.5,[src,src,src])
# gaus_img = cv2.GaussianBlur(src,(7,7),0,0)
# # src = cv2.resize(src,(200,400))
# canny_img = cv2.Canny(src,100,200)
# cv2.line(src,(0,0),(src.shape[1],src.shape[0]),(255,255,0),2)
# cv2.rectangle(src,(0,0),(200,300),(0,0,255),cv2.FILLED)
# cv2.circle(src,(400,50),30,(255,0,255),2)
# cv2.putText(src,"OpenCV",(20,30),cv2.FONT_HERSHEY_SCRIPT_COMPLEX,2,(255,0,0),2)
cv2.imshow("origin",src)
cv2.setMouseCallback("origin", onmouse)
cv2.imshow("output", img_out)
cv2.imshow("Array Images",imgstack)
cv2.waitKey(0)