https://rszalski.github.io/magicmethods/
主要参考 这篇文章,不过他这个代码写的太复杂了。本身实质就调用了一个opencv的matchTemplate函数
# encoding=utf8
import cv2
import numpy as np
def show(name):
cv2.imshow('Show', name)
cv2.waitKey(0)
cv2.destroyAllWindows()
def main():
small = cv2.imread("small.png", 0)
large = cv2.imread("large.jpeg", 0)
w, h = small.shape[::-1] # 拿到小图的宽高
# small = cv2 …
参考:
numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)
:返回一个numpy的array,将start到stop均匀的分成num份
>>> np.linspace(2.0, 3.0, num=5)
array([ 2. , 2.25, 2.5 , 2.75, 3. ])
>>> np.linspace(2 …