importnumpyasnp# 提取匹配点的坐标src_pts=np.float32([keypoints1[m.queryIdx].ptformingood_matches]).reshape(-1,1,2)dst_pts=np.float32([keypoints2[m.trainIdx].ptformingood_matches]).reshape(-1,1,2)# 使用RANSAC算法计算单应性矩阵M,mask=cv2.findHomography(src_pts,dst_pts,cv2.RANSAC,5.0...
1,2)dst_pts=np.float32([kp2[m.trainIdx].ptformingood]).reshape(-1,1,2)M,mask=cv2.findHomography(src_pts,dst_pts,cv2.RANSAC,5.0)matchesMask=mask.ravel().tolist()h,
Find object position based on python-opencv2. Contribute to zhongyujian/aircv development by creating an account on GitHub.
M,mask=cv2.findHomography(srcPoints, dstPoints[, method[, ransacReprojThreshold[, mask]]]) #实现单应性匹配,返回的M是一个矩阵,即对关键点srcPoints做M变换能变到dstPoints的位置 1. 2. 3. 4. 5. 透视变换:对第二张图片进行透视变换,透视旋转到与第一张图可以进行拼接的角度 warpImg=cv2.warpPerspe...
_, status = cv2.findHomography( p1, p2, cv2.RANSAC, ransacReprojThreshold=homTh) fgPts = totalPts[status[:,0] ==0, :]returnfgPts 开发者ID:pathak22,项目名称:videoseg,代码行数:20,代码来源:dm_tracker.py 示例5: getHomography ▲点赞 6▼ ...
findHomography(src_pts, dst_pts, cv2.RANSAC, 5.0) pts = np.float32([[0, 0], [0, template_height - 1], [template_width - 1, template_height - 1], [template_width - 1, 0]]).reshape(-1, 1, 2) #找到一个变换矩阵,从查询图映射到检测图片 dst = cv2.perspectiveTransform(pts, M...
reshape(-1,1,2) M, mask = cv2.findHomography( dst_pts,src_pts, cv2.RANSAC,5.0) out = cv2.warpPerspective(img2, M, (width,height)) #先列后行 cv2.imwrite(self.outfile_name,out) self.num_of_good.emit(len(good),self.outfile_name) else : self.num_of_good.emit(0,'') ...
M, mask = cv2.findHomography(src_pts, dst_pts)return(matches, kp1_img, kp2_img, img3, M, centroid) 开发者ID:Bojiong,项目名称:cs231a,代码行数:31,代码来源:sift.py 示例3: comprassionFlann ▲点赞 5▼ defcomprassionFlann(frame1,frame2):good = [] ...
findHomography( dst_pts,src_pts, cv2.RANSAC,5.0) out = cv2.warpPerspective(img2, M, (width,height)) #先列后行 cv2.imwrite(self.outfile_name,out) self.num_of_good.emit(len(good),self.outfile_name) else : self.num_of_good.emit(0,'') ...
dst_pts = np.float32([ kp2[m.trainIdx].ptformingood ]).reshape(-1,1,2) H, mask = cv2.findHomography(dst_pts, src_pts, cv2.RANSAC,5.0) (o_size, offset) = calc_size(img1.shape, img2.shape, H) (o_size, offset) = calc_size(img1.shape, img2.shape, H)# ydst_h = o_siz...