Label coco format data and format data in the upper left corner and lower right corner are mutually converted

import cv2


class DataConvert():
    """  The way of expression   explain  x1,y1,x2,y2 (x1,y1) Is the upper-left coordinate ,(x2,y2) Is the lower right coordinate  x1,y1,w,h (x1,y1) Is the upper-left coordinate ,w Is the width of the target area ,h Is the height of the target area  xc,yc,w,h (xc,yc) Is the central coordinate of the target area ,w Is the width of the target area ,h Is the height of the target area  COCO mark  """

    def __init__(self):
        pass

    @staticmethod
    def cvtx0y0whTox1y1x2y2(x0, y0, w, h, imgShape):
        # "0.530921 0.666667 0.622368 0.666667"=>(167, 169, 639, 507)
        # labelme  Of COCO Dimension format is   Center point x+ Center point y+ wide + high  （ The normalized ）
        #  The result of this function is   Top left   Lower right  （ Not normalized ）
        height, width, c = imgShape
        x1, y1, x2, y2 = int((x0 - w * 0.5) * width), \
                         int((y0 - h * 0.5) * height), \
                         int((x0 + w * 0.5) * width), \
                         int((y0 + h * 0.5) * height)
        return x1, y1, x2, y2

    @staticmethod
    def cvtx1y1x2y2Tox0y0wh(x1, y1, x2, y2, imgShape):
        # (167, 169, 639, 507)=>"0.530921 0.666667 0.622368 0.666667"
        #  Top left   Lower right  （ Not normalized ） =>  Center point x+ Center point y+ wide + high  （ The normalized ）
        height, width, c = imgShape
        x0, y0, w, h = (x1 + x2) / 2 / width, (y1 + y2) / 2 / height, (x2 - x1) / width, (y2 - y1) / height,
        return x0, y0, w, h


if __name__ == '__main__':
    img = cv2.imread("jg02387.jpg")
    shape = img.shape
    x1, y1, x2, y2 = DataConvert.cvtx0y0whTox1y1x2y2(0.530921, 0.666667, 0.622368, 0.666667, shape)
    print(x1, y1, x2, y2)
    print(DataConvert.cvtx1y1x2y2Tox0y0wh(x1, y1, x2, y2, shape))