HyperLPR 地址
安装hyperlpr库后，运行示例发现报了如下错误
#导入包 from hyperlpr import * #导入OpenCV库 import cv2 #读入图片 image = cv2.imread("demo.jpg") #识别结果 print(HyperLPR_plate_recognition(image)) Traceback (most recent call last): File "readlicensePlate.py", line 7, in <module> print(HyperLPR_plate_recognition(image)) File "/usr/local/lib/python3.7/dist-packages/hyperlpr/__init__.py", line 8, in HyperLPR_plate_recognition return PR.plate_recognition(Input_BGR,minSize,charSelectionDeskew) File "/usr/local/lib/python3.7/dist-packages/hyperlpr/hyperlpr.py", line 311, in plate_recognition cropped_finetuned = self.finetune(cropped) File "/usr/local/lib/python3.7/dist-packages/hyperlpr/hyperlpr.py", line 263, in finetune g = self.to_refine(image_, pts) File "/usr/local/lib/python3.7/dist-packages/hyperlpr/hyperlpr.py", line 231, in to_refine mat_ = cv2.estimateRigidTransform(org_pts, target_pts, True) AttributeError: module 'cv2.cv2' has no attribute 'estimateRigidTransform'使用Opencv 3.4.12 opencv3.5 opencv 4.5.0 均报了以上错误
查看资料发现，cv2.estimateRigidTransform()方法已经停用，可以使用cv2.estimateAffine2D()，cv2.estimateAffinePartial2D()来替代。
def estimateAffine2D(from_, to, inliers=None, method=None, ransacReprojThreshold=None, maxIters=None, confidence=None, refineIters=None): pass def estimateAffinePartial2D(from_, to, inliers=None, method=None, ransacReprojThreshold=None, maxIters=None, confidence=None, refineIters=None): pass进入 File "/usr/local/lib/python3.7/dist-packages/hyperlpr/hyperlpr.py", line 231, in to_refine，
将函数改写为
mat_, _ = cv2.estimateAffinePartial2D(org_pts, target_pts, True)注意，cv2.estimateAffinePartial2D()，函数有两个返回值，第一个返回值等于cv2.estimateRigidTransform()函数的返回值。如果不写第二个返回值会报TypeError: Expected Ptr<cv::UMat> for argument 'M'错误
