Python 23.opencv 单对象模板匹配

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

img = cv2.imread('lane.jpg', 0)
img2 = img.copy()
template = cv2.imread('car.PNG', 0)
w, h = template.shape[::-1]

methods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR',
           'cv2.TM_CCORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']

for meth in methods:
    img = img2.copy()
    method = eval(meth)
    res = cv2.matchTemplate(img, template, method)
    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)

    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('Detect point'), plt.xticks([]), plt.yticks([])
    plt.suptitle(meth)

    plt.show()

在大图中找出小图的位置

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转载自blog.csdn.net/qq_36071362/article/details/104220792