import cv2 as cv import numpy as np def draw_points(image, points): for point in points: cv.circle(image, tuple(point), 5, (0, 255, 0), -1) def main(): # 读入图像 im_src = cv.imread('src.jpeg') im_dst = cv.imread('dst.jpeg') # 对应点对坐标(这个人工找点,试出来,用dr...
cv2.drawMarker(image, (50, 50), color, markerType=0) cv2.drawMarker(image, (100, 50), color, markerType=1) cv2.drawMarker(image, (150, 50), color, markerType=2) cv2.drawMarker(image, (200, 50), color, markerType=3) cv2.drawMarker(image, (50, 100), color, markerType=4) cv2....
cv2.COLOR_BGR2GRAY)# 转化为float32gray_img=np.float32(gray_img)# 进行Harris角点检测dst=cv2.cornerHarris(gray_img,2,3,0.04)# 标记角点位置img[dst>0.01*dst.max()]=[0,0,255]foriinrange(dst.shape[0]):forjinrange(dst.shape[1]):if(int...
cv2.drawKeypoints(gray,kp,img) gives the expected behavior, which is inconsistent with the documentation and also not very pythonic 👍36Delgan, Joshua27, AdeelH, mrfuuton, theotheo, nivedk, musanto, tshrjn, abmitra84, krishraghuram, and 26 more reacted with thumbs up emoji😄2salmanfar...
cv2.drawKeypoints() 函数讲解 关于FAST()函数示例,参数如下 一、cornerHarris() 函数 cornerHarris() 角点检测具有旋转不变特性。关于角点检测用一幅图来讲解: 对红框进行移动:无论是往哪个方向进行偏移,都会对框框内的像素值造成很大的变动。那么红框 框住的区域的边角点,就是检...
import cv2 import numpy as np def draw_keypoints(vis, keypoints, color = (0, 255, 255)): for kp in keypoints: x, y = kp.pt cv2.circle(vis, (int(x), int(y), 2, color)) input_image = cv2.imread('lena.jpg') if input_image is None: print("check file path") exit() gr...
pythonopencv⿏标画点之cv2.drawMarker（）函数 ⽬录 前⾔ cv2.drawMarker()函数说明 参数说明 利⽤⿏标回调函数交互式画点 例1，简单的例⼦ 例2，删除功能 总结 前⾔ 这⾥所谓画点的意思是指在单⼀像素点上画⼀个标记符，⽽不是画⼩圆点。使⽤的函数是cv2.drawMarker(img, position, ...
1. sift = cv2.xfeatures2d.SIFT_create() 实例化 参数说明:sift为实例化的sift函数 2. kp = sift.detect(gray, None) 找出图像中的关键点 参数说明: kp表示生成的关键点,gray表示输入的灰度图, 3. ret = cv2.drawKeypoints(gray, kp, img) 在图中画出关键点 ...
self.y=y op=Point(400,400)DrawArc(img,op,100,60)cv2.imshow('image',img)cv2.waitKey(10000)# 显示 10000 ms 即 10s 后消失
image = cv2.imread(imagePath) marker = find_marker(image) inches = distance_to_camera(KNOWN_WIDTH, focalLength, marker[1][0]) # draw a bounding box around the image and display it box = cv2.cv.BoxPoints(marker) if imutils.is_cv2() else cv2.boxPoints(marker) ...