原始圖

角點檢測

points = cv2.goodFeaturesToTrack(gray, 100, 0.01, 10)points = np.int0(points).reshape(-1,2)for point in points: x, y = point.ravel() cv2.circle(img, (x, y), 10, (0, 255, 0), -1)

連線

cv2.line(img, (0, y1), (1000, y1), (0, 255, 0), thickness=3, lineType=8)cv2.line(img, (0, y2), (1000, y2), (0, 255, 0), thickness=3, lineType=8)

完整代碼

''' @author: qq群686070107''' import cv2import numpy as npimg=cv2.imread('1.jpg')gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)points = cv2.goodFeaturesToTrack(gray, 100, 0.01, 10)points = np.int0(points).reshape(-1,2)for point in points: x, y = point.ravel() cv2.circle(img, (x, y), 10, (0, 255, 0), -1)y1 = min(points[:,1])y2 = max(points[:,1])## small and big enough cv2.line(img, (0, y1), (1000, y1), (0, 255, 0), thickness=3, lineType=8)cv2.line(img, (0, y2), (1000, y2), (0, 255, 0), thickness=3, lineType=8)cv2.imshow('img', img)cv2.waitKey(0)

到此這篇關于python opencv角點檢測 連線功能的實現代碼的文章就介紹到這了,更多相關python opencv角點檢測內容請搜索好吧啦網以前的文章或繼續瀏覽下面的相關文章希望大家以后多多支持好吧啦網！