主要代码参考https://blog.csdn.net/wzh191920/article/details/79589506
GitHub：https://github.com/yinghualuowu
答辩通过了，补完~
用的是仿射变换
def img_Transform(car_contours,oldimg,pic_width,pic_hight):
car_imgs = []
for car_rect in car_contours:
if car_rect[2] > -1 and car_rect[2] < 1:
angle = 1
# 对于角度为-1 1之间时，默认为1
else:
angle = car_rect[2]
car_rect = (car_rect[0], (car_rect[1][0] + 5, car_rect[1][1] + 5), angle)
box = cv2.boxPoints(car_rect) heigth_point = right_point = [0, 0]
left_point = low_point = [pic_width, pic_hight]
for point in box:
if left_point[0] > point[0]:
left_point = point
if low_point[1] > point[1]:
low_point = point
if heigth_point[1] < point[1]:
heigth_point = point
if right_point[0] < point[0]:
right_point = point if left_point[1] <= right_point[1]: # 正角度
new_right_point = [right_point[0], heigth_point[1]]
pts2 = np.float32([left_point, heigth_point, new_right_point]) # 字符只是高度需要改变
pts1 = np.float32([left_point, heigth_point, right_point])
M = cv2.getAffineTransform(pts1, pts2)
dst = cv2.warpAffine(oldimg, M, (pic_width, pic_hight))
point_limit(new_right_point)
point_limit(heigth_point)
point_limit(left_point)
car_img = dst[int(left_point[1]):int(heigth_point[1]), int(left_point[0]):int(new_right_point[0])]
car_imgs.append(car_img) elif left_point[1] > right_point[1]: # 负角度
new_left_point = [left_point[0], heigth_point[1]]
pts2 = np.float32([new_left_point, heigth_point, right_point]) # 字符只是高度需要改变
pts1 = np.float32([left_point, heigth_point, right_point])
M = cv2.getAffineTransform(pts1, pts2)
dst = cv2.warpAffine(oldimg, M, (pic_width, pic_hight))
point_limit(right_point)
point_limit(heigth_point)
point_limit(new_left_point)
car_img = dst[int(right_point[1]):int(heigth_point[1]), int(new_left_point[0]):int(right_point[0])]
car_imgs.append(car_img) return car_imgs
