의 목적

차리다

코드

#coding:utf-8
import cv2
import numpy as np

#画像をグレースケールで読み込む

fname_img1='test1.png'
fname_img2='test2.png'

img = cv2.imread(fname_img1, 0)
temp = cv2.imread(fname_img2, 0)

#マッチングテンプレートを実行
match_result = cv2.matchTemplate(img, temp, cv2.TM_CCOEFF_NORMED)

#類似度の設定(0~1)
threshold = 0.9

#検出結果から検出領域の位置を取得
loc=np.where(match_result >= threshold)

#検出領域を四角で囲んで保存
w, h = temp.shape[::-1]
for top_left in zip(*loc[::-1]):
    bottom_right = (top_left[0] + w, top_left[1] + h)

#保存
result = cv2.imread(fname_img1)
#height = img.shape[0]
#width = img.shape[1]
#result = cv2.resize(img , (int(width*1.0), int(height*1.0)))
cv2.rectangle(result,top_left, bottom_right, (255, 0, 0), 10)
cv2.imwrite("result.png", result)

테스트

CodingError 대책

libpng warning: Image width is zero in IHDR
libpng warning: Image height is zero in IHDR
libpng error: Invalid IHDR data

참고 자료