在写程序时报错File "D:/Anaconda程序/01/02/untitled0.py", line 75, in <module>
dst = cv2.perspectiveTransform(pts,M)

error: OpenCV(3.4.1) C:\projects\opencv-python\opencv\modules\core\src\matmul.cpp:2268: error: (-215) scn + 1 == m.cols in function cv::perspectiveTransform

我想要多几个模板去进行匹配，但下面代码不能执行

import numpy as np
import cv2
from matplotlib import pyplot as plt
 
template1 = cv2.imread('1.jpg', 0)
template2 = cv2.imread('2.jpg', 0)
template3 = cv2.imread('3.jpg', 0)
template_list = ['1.jpg', '2.jpg', '3.jpg']



vc = cv2.VideoCapture(0)
if vc.isOpened(): 
    open, frame = vc.read()
else:
    open = False
    
while open:
    ret,frame = vc.read()

    if ret == True:
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        frame_width=vc.get(cv2.CAP_PROP_FRAME_WIDTH)
        frame_height=vc.get(cv2.CAP_PROP_FRAME_HEIGHT)
        
        
        MIN_MATCH_COUNT = 10

        for i in range(len(template_list)):
            template = cv2.imread(template_list[i], 0)          
            sift=cv2.xfeatures2d.SIFT_create()
            # 获取关键点和描述符
            kp1, des1 = sift.detectAndCompute(template,None)
            kp2, des2 = sift.detectAndCompute(frame,None)
            
          
            index_params = dict(algorithm = 1, trees = 5)
            search_params = dict(checks = 50)
            flann = cv2.FlannBasedMatcher(index_params, search_params)
           
            matches = flann.knnMatch(des1,des2,k=2)      
            good = []
            for m,n in matches:
                if m.distance <= 0.7*n.distance:
                    good.append(m)
            
            # 单应性
            if len(good)>MIN_MATCH_COUNT:
                # 改变数组的表现形式，不改变数据内容，数据内容是每个关键点的坐标位置
                src_pts = np.float32([ kp1[m.queryIdx].pt for m in good ]).reshape(-1,1,2)
                dst_pts = np.float32([ kp2[m.trainIdx].pt for m in good ]).reshape(-1,1,2)
                # findHomography 函数是计算变换矩阵
                # 参数cv2.RANSAC是使用RANSAC算法寻找一个最佳单应性矩阵H，即返回值M
                # 返回值：M 为变换矩阵，mask是掩模
                M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC,5.0)
                # ravel方法将数据降维处理，最后并转换成列表格式
                matchesMask = mask.ravel().tolist()
                # 获取img1的图像尺寸
                h,w = template.shape
                # pts是图像img1的四个顶点
                pts = np.float32([[0,0],[0,h-1],[w-1,h-1],[w-1,0]]).reshape(-1,1,2)
                # 计算变换后的四个顶点坐标位置
                dst = cv2.perspectiveTransform(pts,M)
            
                # 根据四个顶点坐标位置在img2图像画出变换后的边框
                frame = cv2.polylines(frame,[np.int32(dst)],True,(0,0,255),4, cv2.LINE_AA)
            
           
        cv2.namedWindow('match',0)
        cv2.resizeWindow('match', 600, 400)
        # 显示窗口
        cv2.imshow('match', frame)
        
        
        
        
            
            
        if cv2.waitKey(10) & 0xFF == 27:
            break
vc.release()
cv2.destroyAllWindows()

想问一下大家error: (-215) scn + 1 == m.cols in function cv::perspectiveTransform如何解决？

tanpf123

js如何生成树状图结构？

3条回答

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