Python numpy bbox

def bbox1(img):
    a = np.where(img != 0)
    bbox = np.min(a[0]), np.max(a[0]), np.min(a[1]), np.max(a[1])
    return bbox

def bbox2(img):
    rows = np.any(img, axis=1)
    cols = np.any(img, axis=0)
    rmin, rmax = np.where(rows)[0][[0, -1]]
    cmin, cmax = np.where(cols)[0][[0, -1]]

    return rmin, rmax, cmin, cmax

Source: stackoverflow.com

Similar codes

8 votes164 views5 answers
Retrieve row by index pandas
Python
4 votes132 views4 answers
Printing hello world in python
Python
6 votes139 views6 answers
Palindrome
Python
0 vote159 views1 answer
Autopytoexe
Python
2 votes133 views1 answer
Django load model by name
Python
0 vote160 views1 answer
Pafy python documentation
Python
0 vote140 views2 answers
Cron job python
Python
0 vote177 views1 answer
Pandas plot disable legend
Python
52 votes147 views6 answers
Python remove string from string
Python
11 votes149 views5 answers
Python ordereddict
Python