import numpy as np

def center_coordinate(boundbxs):
    '''
    输入：两个对角坐标xyxy
    输出：矩形框重点坐标xy
    '''
    boundbxs_x1=boundbxs[0]
    boundbxs_y1=boundbxs[1]
    boundbxs_x2=boundbxs[2]
    boundbxs_y2=boundbxs[3]
    center_x=0.5*(boundbxs_x1+boundbxs_x2)
    center_y=0.5*(boundbxs_y1+boundbxs_y2)
    return center_x,center_y

def fourcorner_coordinate(boundbxs):
    '''
    输入：两个对角坐标xyxy
    输出：矩形框四个角点坐标，以contours顺序。
    '''
    boundbxs_x1=boundbxs[0]
    boundbxs_y1=boundbxs[1]
    boundbxs_x2=boundbxs[2]
    boundbxs_y2=boundbxs[3]
    wid=boundbxs_x2-boundbxs_x1
    hei=boundbxs_y2-boundbxs_y1
    boundbxs_x3=boundbxs_x1+wid
    boundbxs_y3=boundbxs_y1
    boundbxs_x4=boundbxs_x1
    boundbxs_y4 = boundbxs_y1+hei
    contours_rec=[[boundbxs_x1,boundbxs_y1],[boundbxs_x3,boundbxs_y3],[boundbxs_x2,boundbxs_y2],[boundbxs_x4,boundbxs_y4]]
    return contours_rec

def remove_simivalue(list1,list2):
    '''
    将list1中属于list2的元素都删除。
    输入：两个嵌套列表
    返回：嵌套列表
    '''
    list33=list1.copy()
    for i in range(len(list1)):
        for j in range(len(list2)):
            if list2[j] == list1[i]:
                # list33.pop(list1[i])
                list33.remove(list1[i])
    return list33

def remove_sameeleme_inalist(list3):
    '''
    将list3中重复嵌套列表元素删除。
    输入：嵌套列表
    返回：嵌套列表
    '''
    list3=list3
    list4=[]
    list4.append(list3[0])
    for dict in list3:
        k=0
        for item in list4:
            if dict!=item:
                k=k+1
            else:
                break
            if k==len(list4):
                list4.append(dict)
    return list4

def order_points(pts):
    ''' sort rectangle points by clockwise '''
    sort_x = pts[np.argsort(pts[:, 0]), :]

    Left = sort_x[:2, :]
    Right = sort_x[2:, :]
    # Left sort
    Left = Left[np.argsort(Left[:, 1])[::-1], :]
    # Right sort
    Right = Right[np.argsort(Right[:, 1]), :]
    return np.concatenate((Left, Right), axis=0)