查看生成的数据维度

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline

from __future__ import print_function
import numpy as np

def valid_imshow_data(data):
    data = np.asarray(data)
    if data.ndim == 2:
        return True
    elif data.ndim == 3:
        if 3 <= data.shape[2] <= 4:
            return True
        else:
            print('The "data" has 3 dimensions but the last dimension '
                  'must have a length of 3 (RGB) or 4 (RGBA), not "{}".'
                  ''.format(data.shape[2]))
            return False
    else:
        print('To visualize an image the data must be 2 dimensional or '
              '3 dimensional, not "{}".'
              ''.format(data.ndim))
        return False

data = np.load('/home/nkh/nkh/DSB2017-master/training/detector/results/res18/bbox/0a0c32c9e08cc2ea76a71649de56be6d_lbb.npy')

valid_imshow_data(data)/data.shape

clean.npy四维

label.npy二维

pbb.npy二维

lbb.npy一维