Question

我有一个来自 OpenCV 文档的关于模板匹配的代码，如下所示：

import cv2
import numpy as np
from matplotlib import pyplot as plt

img = cv2.imread('pathtomyimage',0)
img2 = img.copy()
template = cv2.imread('pathtomyTemplate',0)
w, h = template.shape[::-1]
    
# All the 6 methods for comparison in a list
methods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR',
            'cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']

for meth in methods:
    img = img2.copy()
    method = eval(meth)

    # Apply template Matching
    res = cv2.matchTemplate(img,template,method)
    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)

    # If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum
    if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:
        top_left = min_loc
    else:
        top_left = max_loc
    bottom_right = (top_left[0] + w, top_left[1] + h)

    cv2.rectangle(img,top_left, bottom_right, 255, 2)

    plt.subplot(121),plt.imshow(res,cmap = 'gray')
    plt.title('Matching Result'), plt.xticks([]), plt.yticks([])
    plt.subplot(122),plt.imshow(img,cmap = 'gray')
    plt.title('Detected Point'), plt.xticks([]), plt.yticks([])
    plt.suptitle(meth)

    plt.show()

现在我的图像上绘制的矩形没有填充，我想用一些图像填充 cv2.rectangle 的区域。如何实现这一目标？

Answer 1

如果您使用模板图像填充矩形，那么模板的尺寸与矩形相同，您需要做的就是使用 Numpy 插入它。所以

img[top:bottom, left:right] = template

即把模板图片放入矩形定义的img区域。

当然，您可以使用任何图像代替模板，只要将其裁剪为与 left:right 和 top:bottom 定义的宽度和高度相同的图像即可。

用图像填充矩形区域

1 个答案: