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

1 vote346 views1 answer
Barplot syntax in python
Python
1 vote334 views2 answers
Get the torch version
Python
20 votes337 views2 answers
Plot data python
Python
0 vote334 views2 answers
Django ajax body to json
Python
0 vote424 views1 answer
Arabic text recognition from pdf using python
Python
2 votes333 views1 answer
Check whether number is even or odd
Python
1 vote346 views1 answer
Python choose sample from list with replacement
Python
-1 vote332 views1 answer
Import "reportlab.pdfgen.canvas" could not be resolved
Python
133 votes350 views6 answers
Python read json
Python
-1 vote343 views1 answer
Filter groupby pandas
Python