我使用霍夫變換檢測(cè)到一條不直的車道邊界線，然后分別提取該線。然后與另一個(gè)具有直線的圖像混合?，F(xiàn)在我需要計(jì)算這兩條線之間的角度，但我不知道這些線的坐標(biāo)。所以我嘗試使用給出垂直線坐標(biāo)的代碼，但它無(wú)法具體識(shí)別這些坐標(biāo)。有沒有辦法測(cè)量這些線之間的角度？這是我的坐標(biāo)計(jì)算代碼和兩行混合圖像import cv2 as cvimport numpy as npsrc = cv.imread("blended2.png", cv.IMREAD_COLOR)if len(src.shape) != 2:    gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)else:    gray = srcgray = cv.bitwise_not(gray)bw = cv.adaptiveThreshold(gray, 255, cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY, 15, -2)horizontal = np.copy(bw)vertical = np.copy(bw)cols = horizontal.shape[1]horizontal_size = int(cols / 30)horizontalStructure = cv.getStructuringElement(cv.MORPH_RECT, (horizontal_size, 1))horizontal = cv.erode(horizontal, horizontalStructure)horizontal = cv.dilate(horizontal, horizontalStructure)cv.imwrite("img_horizontal8.png", horizontal)h_transpose = np.transpose(np.nonzero(horizontal))print("h_transpose")print(h_transpose[:100])rows = vertical.shape[0]verticalsize = int(rows / 30)verticalStructure = cv.getStructuringElement(cv.MORPH_RECT, (1, verticalsize))vertical = cv.erode(vertical, verticalStructure)vertical = cv.dilate(vertical, verticalStructure)cv.imwrite("img_vertical8.png", vertical)v_transpose = np.transpose(np.nonzero(vertical))print("v_transpose")print(v_transpose[:100])img = src.copy()# edges = cv.Canny(vertical,50,150,apertureSize = 3)minLineLength = 100maxLineGap = 200lines = cv.HoughLinesP(vertical,1,np.pi/180,100,minLineLength,maxLineGap)for line in lines:    for x1,y1,x2,y2 in line:        cv.line(img,(x1,y1),(x2,y2),(0,255,0),2)cv.imshow('houghlinesP_vert', img)cv.waitKey(0)