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

0 vote342 views1 answer
Iterate over meta tag python
Python
2 votes320 views1 answer
Python force string parameter
Python
0 vote346 views1 answer
Import CreateAPIView django
Python
2 votes329 views1 answer
Pandas reset row indices
Python
0 vote329 views1 answer
Qt designer messagebox python
Python
0 vote335 views1 answer
Tqdm 2 progress bars
Python
4 votes324 views6 answers
Python subtract days from date
Python
0 vote333 views2 answers
Install iris
Python
5 votes349 views3 answers
Concatenate two tensors pytorch
Python
29 votes317 views5 answers
Python ls directory
Python