cv报错，cv2.inRange函数调用报错

Question

问题遇到的现象和发生背景

定位到目标图像区域

问题相关代码，请勿粘贴截图

img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # 转化为 HSV 格式
thresh1 = np.array([190, 0.35, 0.3]) # 目标的低阈值
thresh2 = np.array([245, 1, 1]) # 目标的高阈值
img_1 = cv2.inRange(img_hsv, lowerb = thresh1, upperb = thresh2)
cv2.imshow('原始图像', img) # 显示图像
cv2.imshow('截取图像', img_1)
cv2.waitKey(0)
cv2.destroyAllWindows()

运行结果及报错内容

Traceback (most recent call last):
File "D:/Program Files/pythonProject233/6.py", line 12, in
img_1 = cv2.inRange(img_hsv, lowerb = thresh1, upperb = thresh2)
cv2.error: OpenCV(4.5.5) D:\a\opencv-python\opencv-python\opencv\modules\core\src\arithm.cpp:1782: error: (-215:Assertion failed) lb.type() == ub.type() in function 'cv::inRange'

Answer 1

thresh1 = np.array([190, 0.35, 0.3]) # 目标的低阈值
thresh2 = np.array([245, 1, 1]) # 目标的高阈值 这2行代码的问题，thresh1.dtype为float64，但是thresh2.dtype为int32，类型不一致导致的错误。要么把thresh1里的元素都改成整数型，要么把thresh2里的某一个元素改成浮点型，比如thresh2 = np.array([245, 1, 1.0])