get all possible corner using shi thomas cv2
import cv2 as cv
import numpy as np
img = cv.imread('qiqiao.jpg')
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
# Shi-Tomasi corner detection
corners = cv.goodFeaturesToTrack(gray, 12, 0.01, 10)
corners = np.int0(corners) # 12 corner coordinates
for i in corners:
# Compressed to one dimension: [[62,64]]->[62,64]
x, y = i.ravel()
cv.circle(img, (x, y), 4, (0, 0, 255), -1)
cv.imshow('dst', img)
cv.waitKey(0)
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