lungs_var3_d8g_222f.py 文件源码

def largest_label_volume(im, bg=-1):
    vals, counts = np.unique(im, return_counts=True)

    counts = counts[vals != bg]
    vals = vals[vals != bg]

    if len(counts) > 0:
        return vals[np.argmax(counts)]
    else:
        return None

#image=sample_image