20230223-给定坐标系中矩形四个顶点，计算左上角的顶点

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原创 2024-05-21 12:52:34 738 阅读 AI 写同款· GEO 优化 ›

＜Halcon＞计算任意矩形四个顶点坐标计算任意矩形四个顶点坐标 1、计算矩形与水平方向的夹角Phi（smallest_rectangle2：矩形长与水平的夹角，- pi / 2 < Phi <= pi / 2）； 2、若夹角大于45°或者小于-45°，角度转换为矩形宽与水平的夹角，长宽互换； Halcon通用代码 *计算矩形的中间点、角度、及长宽（一半） smallest_rectangle2 (Rectangle, Row, Column, Phi, Length1, Length2) if(abs(deg(Phi))&gt 阅读详情

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目录:

一、环境说明

二、背景

三、示例代码

四、思考总结

一、环境说明

本机环境：windows10 操作系统
使用工具：Visual Studio Code 1.74.3（user setup）
Python版本：Python --version
            Python 3.9.16
pip版本: pip --version
         pip 22.3.1 from C:\Users\Jack\.conda\envs\py\lib\site-packages\pip (python 3.9)

弱依赖条件：
   本示例程序默认你已经阅读过 https://blog.youkuaiyun.com/Jack_software/article/details/129178322 文章，并获取到示例输出的内容

备注：
安装Python库命令： pip install [库名]=[版本号]  
    比如:  pip install pyzbar==0.1.9
下载缓慢可以尝试利用下面命令更新国内镜像仓库
    pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
    pip config set install.trusted-host https://pypi.tuna.tsinghua.edu.cn

二、背景

前情回顾： 20230223-基于pyzbar识别条形码并标注示例-优快云博客

该博文末尾说道 “针对识别不到或者图片质量差识别失败的条形码可以用OCR模式识别条形码”，过程中遇到最表重排问题。针对识别到的结果想按照一定的顺序显示，为了更好的接近人体看的顺序（这里以先上后下，先左后右）顺序给出输出结果。

在zbr给出的结果和OCR的结果合并后，导致原来的顺序（我遇到的图片有多个条形码需要识别）没有按照特定的顺序展示，因此，本次对结果进行重排。

三、示例代码

说明：本示例以 20230223-基于pyzbar识别条形码并标注示例-优快云博客的坐标，信息针对外接矩形找到 “左上角的点”

相关定义：

何为左上角的点：

ChatGPT定义：

程序代码：

# -*- coding: utf-8 -*-

# __ author:Jack
# date: 2023-02-23

def sort_points():

    #Decoded(data=b'QR Code\xc3\x82\xc3\xab\xc3\x8a\xc3\x87\xc3\x93\xc3\x89\xc3\x88\xc3\x95\xc2\xb1\xc2\xbeDenso\xc2\xb9\xc2\xab\xc3\x8b\xc2\xbe\xc3\x93\xc3\x9a1994\xc3\x84\xc3\xaa9\xc3\x94\xc3\x82\xc3\x91\xc3\x90\xc3\x96\xc3\x86\xc2\xb5\xc3\x84\xc3\x92\xc2\xbb\xc3\x96\xc3\x96\xc2\xbe\xc3\x98\xc3\x95\xc3\xb3\xc2\xb6\xc3\xbe\xc3\x8e\xc2\xac\xc3\x82\xc3\xab\xc2\xb7\xc3\xbb\xc2\xba\xc3\x85\xc2\xa3\xc2\xac\xc3\x8b\xc3\xbc\xc2\xb3\xc3\xbd\xc2\xbe\xc3\x9f\xc3\x93\xc3\x90\xc3\x92\xc2\xbb\xc3\x8e\xc2\xac\xc3\x8c\xc3\xb5\xc3\x82\xc3\xab\xc2\xbc\xc2\xb0\xc3\x86\xc3\xa4\xc3\x8b\xc3\xbc\xc2\xb6\xc3\xbe\xc3\x8e\xc2\xac\xc3\x8c\xc3\xb5\xc3\x82\xc3\xab\xc3\x8b\xc3\xb9\xc2\xbe\xc3\x9f\xc3\x93\xc3\x90\xc2\xb5\xc3\x84\xc3\x90\xc3\x85\xc3\x8f\xc2\xa2\xc3\x88\xc3\x9d\xc3\x81\xc2\xbf\xc2\xb4\xc3\xb3\xc2\xa1\xc2\xa2\xc2\xbf\xc3\x89\xc2\xbf\xc2\xbf\xc3\x90\xc3\x94\xc2\xb8\xc3\x9f\xc2\xa1\xc2\xa2\xc2\xbf\xc3\x89\xc2\xb1\xc3\xad\xc3\x8a\xc2\xbe\xc2\xba\xc2\xba\xc3\x97\xc3\x96\xc2\xbc\xc2\xb0\xc3\x8d\xc2\xbc\xc3\x8f\xc3\xb3\xc2\xb6\xc3\xa0\xc3\x96\xc3\x96\xc3\x8e\xc3\x84\xc3\x97\xc3\x96\xc3\x90\xc3\x85\xc3\x8f\xc2\xa2\xc2\xa1\xc2\xa2\xc2\xb1\xc2\xa3\xc3\x83\xc3\x9c\xc2\xb7\xc3\x80\xc3\x8e\xc2\xb1\xc3\x90\xc3\x94\xc3\x87\xc2\xbf\xc2\xb5\xc3\x88\xc3\x93\xc3\x85\xc2\xb5\xc3\xa3\xc3\x8d\xc3\xa2\xc2\xa3\xc2\xac\xc2\xbb\xc2\xb9\xc2\xbe\xc3\x9f\xc3\x93\xc3\x90\xc3\x88\xc3\xa7\xc3\x8f\xc3\x82\xc3\x96\xc3\xb7\xc3\x92\xc2\xaa\xc3\x8c\xc3\x98\xc2\xb5\xc3\xa3\xc2\xa3\xc2\xba', type='QRCODE', rect=Rect(left=1374, top=511, width=162, height=163), polygon=[Point(x=1374, y=511), Point(x=1374, y=673), Point(x=1536, y=674), Point(x=1535, y=511)], quality=1, orientation='UP')
    #Decoded(data=b'Aux(124)-TR', type='CODE128', rect=Rect(left=550, top=599, width=287, height=71), polygon=[Point(x=550, y=599), Point(x=550, y=669), Point(x=837, y=670), Point(x=837, y=600)], quality=72, orientation='UP')
    #Decoded(data=b'A000800A', type='CODABAR', rect=Rect(left=53, top=551, width=292, height=104), polygon=[Point(x=53, y=551), Point(x=53, y=655), Point(x=345, y=652), Point(x=345, y=554)], quality=101, orientation='UP')Decoded(data=b'123ABC', type='CODE39', rect=Rect(left=61, top=418, width=294, height=45), polygon=[Point(x=61, y=419), Point(x=61, y=463), Point(x=355, y=458), Point(x=355, y=418)], quality=44, orientation='UP')     
    #Decoded(data=b'BJ100080', type='CODE93', rect=Rect(left=535, top=381, width=290, height=94), polygon=[Point(x=535, y=381), Point(x=535, y=475), Point(x=825, y=474), Point(x=825, y=382)], quality=95, orientation='UP')Decoded(data=b'69012341', type='EAN8', rect=Rect(left=169, top=227, width=201, height=90), polygon=[Point(x=169, y=227), Point(x=169, y=317), Point(x=265, y=317), Point(x=370, y=316), Point(x=370, y=228)], quality=144, orientation='UP')
    #Decoded(data=b'0089000006007', type='EAN13', rect=Rect(left=681, top=207, width=147, height=83), polygon=[Point(x=681, y=207), Point(x=681, y=289), Point(x=828, y=290), Point(x=828, y=212)], quality=82, orientation='UP')
    #Decoded(data=b'6901234567892', type='EAN13', rect=Rect(left=151, top=32, width=264, height=90), polygon=[Point(x=151, y=33), Point(x=151, y=121), Point(x=287, y=122), Point(x=415, y=122), Point(x=415, y=32)], quality=144, orientation='UP')
    #Decoded(data=b'0089600124569', type='EAN13', rect=Rect(left=635, top=16, width=253, height=84), polygon=[Point(x=635, y=17), Point(x=635, y=99), Point(x=888, y=100), Point(x=888, y=16)], quality=132, orientation='UP')
    #Decoded(data=b'1234567890', type='I25', rect=Rect(left=1051, top=0, width=292, height=101), polygon=[Point(x=1051, y=1), Point(x=1051, y=101), Point(x=1343, y=100), Point(x=1343, y=0)], quality=102, orientation='UP')

    #Rect(left=1374, top=511, width=162, height=163), polygon=[Point(x=1374, y=511), Point(x=1374, y=673), Point(x=1536, y=674), Point(x=1535, y=511)]
    #Rect(left=550, top=599, width=287, height=71), polygon=[Point(x=550, y=599), Point(x=550, y=669), Point(x=837, y=670), Point(x=837, y=600)]
    #Rect(left=53, top=551, width=292, height=104), polygon=[Point(x=53, y=551), Point(x=53, y=655), Point(x=345, y=652), Point(x=345, y=554)]
    #Rect(left=61, top=418, width=294, height=45), polygon=[Point(x=61, y=419), Point(x=61, y=463), Point(x=355, y=458), Point(x=355, y=418)] 
    #Rect(left=535, top=381, width=290, height=94), polygon=[Point(x=535, y=381), Point(x=535, y=475), Point(x=825, y=474), Point(x=825, y=382)]
    #Rect(left=169, top=227, width=201, height=90), polygon=[Point(x=169, y=227), Point(x=169, y=317), Point(x=265, y=317), Point(x=370, y=316), Point(x=370, y=228)]
    #Rect(left=681, top=207, width=147, height=83), polygon=[Point(x=681, y=207), Point(x=681, y=289), Point(x=828, y=290), Point(x=828, y=212)]
    #Rect(left=151, top=32, width=264, height=90), polygon=[Point(x=151, y=33), Point(x=151, y=121), Point(x=287, y=122), Point(x=415, y=122), Point(x=415, y=32)]
    #Rect(left=635, top=16, width=253, height=84), polygon=[Point(x=635, y=17), Point(x=635, y=99), Point(x=888, y=100), Point(x=888, y=16)]
    #Rect(left=1051, top=0, width=292, height=101), polygon=[Point(x=1051, y=1), Point(x=1051, y=101), Point(x=1343, y=100), Point(x=1343, y=0)]
    arr = [[[1374, 511], [1374, 673], [1536, 674], [1535, 511]],\
            [[550, 599], [550, 669], [837, 670], [837, 600]],\
            [[53, 551], [53, 655], [345, 652], [345, 554]], \
            [[61, 419], [61, 463], [355, 458], [355, 418]], \
            [[535, 381], [535, 475], [825, 474], [825, 382]], \
            [[169, 227], [169, 317], [265, 317], [370, 316], [370, 228]],\
            [[681, 207], [681, 289], [828, 290], [828, 212]], \
            [[151, 33], [151, 121], [287, 122], [415, 122], \
            [415, 32]], [[635, 17], [635, 99], [888, 100], \
            [888, 16]], [[1051, 1], [1051, 101], [1343, 100], [1343, 0]]]    
    #--- 1374 511
    #--- 550 599
    #--- 53 551
    #--- 61 418
    #--- 535 381
    #--- 169 227
    #--- 681 207
    #--- 151 32
    #--- 635 16
    #--- 1051 0
    for i in arr:
        p = getLeftTopPoint(i)
        print('---',p)
    #--- (1374, 511)
    #--- (550, 599)
    #--- (53, 551)
    #--- (61, 419)
    #--- (535, 381)
    #--- (169, 227)
    #--- (681, 207)
    #--- (151, 33)
    #--- (635, 17)
    #--- (1051, 1)

'''
获取外接矩形左上角的点
'''
def getLeftTopPoint(points):
    # 距离x轴最近的2个点
    sort_1 = sorted(points,key=lambda x:(x[1],x[0]))[:2]
    # 距离y轴最近的1个点
    sort_2 = sorted(sort_1,key=lambda x:x[0])[0]
    return tuple(sort_2)
    #tuple(sorted(sorted(points,key=lambda x:(x[1],x[0]))[:2],key=lambda x:x[0])[0])

if __name__=='__main__':
    sort_points()

四、思考总结

## 核心算法
'''
获取外接矩形左上角的点
'''
def getLeftTopPoint(points):
    # 距离x轴最近的2个点
    sort_1 = sorted(points,key=lambda x:(x[1],x[0]))[:2]
    # 距离y轴最近的1个点
    sort_2 = sorted(sort_1,key=lambda x:x[0])[0]
    return tuple(sort_2)
    #tuple(sorted(sorted(points,key=lambda x:(x[1],x[0]))[:2],key=lambda x:x[0])[0])

if __name__=='__main__':
    sort_points()

上述算法按照逻辑思维按照y轴排序求的最小的两个点，紧接着在找到最小的x点，最后求得左上角的点。根据需要的场景满足业务需求，后续如果遇到对坐标进行进一步识别，比如左上角，右上角，右下角，左下角顺序进行重排，欢迎大家沟通。

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