如何在单元格具有指定值的2d蒙版中查找top_left，top_right，bottom_left，right坐标? [英] How to find top_left, top_right, bottom_left, right coordinates in 2d mask where cell has specified value?

问题描述

我有2D numpy数组，它是图像的蒙版.每个单元格都有0或1值.所以我想在值是1的数组中找到top:left，right，bottom:left，right.

I have 2D numpy array which is a mask from an image. Each cell has 0 or 1 value. So I would like to find top:left,right, bottom:left,right in an array where value is 1.

例如输入数组:

[00000]
[01110]
[01100]
[00000]

预期输出:(1,1), (1,3), (2,1), (2,2)

推荐答案

使用np.argwhere和itertools.product:

import numpy as np
from itertools import product

def corners(np_array):
    ind = np.argwhere(np_array)
    res = []
    for f1, f2 in product([min,max], repeat=2):
        res.append(f1(ind[ind[:, 0] == f2(ind[:, 0])], key=lambda x:x[1]))
    return res
corners(arr)

输出:

[array([1, 1], dtype=int64),
 array([2, 1], dtype=int64),
 array([1, 3], dtype=int64),
 array([2, 2], dtype=int64)]

这篇关于如何在单元格具有指定值的2d蒙版中查找top_left，top_right，bottom_left，right坐标?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！