Use python to convert npy format files to txt files

The following code will read the npy format data and output it to the console:

import numpy as np
 
##设置全部数据，不输出省略号 
import sys
np.set_printoptions(threshold=sys.maxsize)
 
boxes=np.load('./input_output/boxes.npy')
print(boxes)
np.savetxt('./input_output/boxes.txt',boxes,fmt='%s',newline='\n')
print('---------------------boxes--------------------------')

The following code converts the npy format file to txt and saves it to The same file name in the current directory

realizes the conversion of multiple files under the entire folder:

import os
import numpy as np
path='./input_output' #一个文件夹下多个npy文件，
txtpath='./input_output'
namelist=[x for x in os.listdir(path)]
for i in range( len(namelist) ):
 datapath=os.path.join(path,namelist[i]) #specific address
 print(namelist[i])
 data = np.load(datapath).reshape([-1, 2]) # (39, 2)
 np.savetxt('%s/%s.txt'%(txtpath,namelist[i]),data)
print ('over')
import os
import numpy as np
path='./input_output' #一个文件夹下多个npy文件
txtpath='./input_output'
namelist=[x for x in os.listdir(path)]
for i in range( len(namelist) ):
 datapath=os.path.join(path,namelist[i]) #specific address
 print(namelist[i])
 #data = np.load(datapath).reshape([-1, 2]) # (39, 2)
 input_data = np.load(datapath) # (39, 2)
 data = input_data.reshape(1, -1)
 np.savetxt('%s/%s.txt'%(txtpath,namelist[i]),data)
print ('over')

The same code realizes reading a single npy file, reading and storing it as txt:

import numpy as np
input_data = np.load(r"C:\test.npy")
print(input_data.shape)
data = input_data.reshape(1,-1)
print(data.shape)
print(data)
np.savetxt(r"C:\test.txt",data,delimiter=',')

Modify the buffer size of pycharm's console:

If you use pycharm as the Python editor, the console's buf defaults to 1024. If there is too much output data, you need to modify the buff size to allow

All data output, modification method:

Find the idea.properties file in the bin directory of the pycharm installation directory, modify the idea.cycle.buffer value, the original default is 1024

#------------------------------------------------- ----------------------- # This option controls console cyclic buffer: keeps the console output size not higher than the specified buffer size (Kb). # Older lines are deleted. In order to disable cycle buffer use idea.cycle.buffer.size=disabled #--------------------------------- --------------------------------------- idea.cycle.buffer.size=102400

Supplementary knowledge:Read files in npy format

npy files save the weight of the network

Problem: Use gedit to open the npy file in the Ubuntu environment. It looks like this. You can’t see the content at all

Solution: Write the following code so that the decoded file content is output on the console

import numpy as np
context = np.load('E:/KittiSeg_pretrained0/vgg16.npy',encoding="latin1")
print(context)

The file location is modified according to its own storage location

The output result of running the code is

{'conv1_2': [array([[[[ 1.66219279e-01, 1.42701820e-01, -4.02113283e-03, ...,
      6.18828237e-02, -1.74057148e-02, -3.00644431e-02],
     [ 9.46945231e-03, 3.87477316e-03, 5.08365929e-02, ...,
     -2.77981739e-02, 1.71373668e-03, 6.82722731e-03],
     [ 6.32681847e-02, 2.12877709e-02, -1.63465310e-02, ...,
      8.80054955e-04, 6.68104272e-03, -1.41139806e-03],
     ...,
     [ 3.47490981e-03, 8.47019628e-02, -4.07223180e-02, ...,
     -1.13523193e-02, -7.48998486e-03, 3.19077494e-03],
     [ 5.97234145e-02, 4.97663505e-02, -3.23118735e-03, ...,
      1.43114366e-02, 3.03175431e-02, -4.23925705e-02],
     [ 1.33459672e-01, 4.95484173e-02, -1.78808011e-02, ...,
      2.25385167e-02, 3.02020740e-02, -2.17075031e-02]],

    [[ 2.12007999e-01, 2.10127644e-02, -1.47626130e-02, ...,
      2.29580477e-02, 1.23102348e-02, -3.08422819e-02],
     [-2.62175221e-03, 7.42094172e-03, 6.74030930e-02, ...,
     -3.06594316e-02, 1.80578313e-03, 4.27369215e-03],
     [ 2.27197763e-02, -1.07841045e-02, -1.31095545e-02, ...,
     -1.15751950e-02, 4.18359675e-02, -1.92268589e-03],
     ...,
     [-2.70304317e-03, 7.41161704e-02, -3.32262330e-02, ...,
     -1.10277236e-02, 1.39831286e-02, 5.34419343e-03],
     [-3.20506282e-02, -2.40584910e-02, -4.52397857e-03, ...,
     -6.04042644e-03, 2.01962605e-01, -5.04491515e-02],
     [ 1.68114193e-02, -2.33167298e-02, -1.40886130e-02, ...,
     -7.79278344e-03, 1.28428593e-01, -2.58184522e-02]],

  [[-5.91698708e-03, -2.26223674e-02, 4.88128467e-03, ...,
    4.13784146e-04, -4.84175496e-02, 1.63675251e-03],
   [-3.93767562e-03, 9.07397643e-03, 5.36517277e-02, ...,
   -2.56106984e-02, -4.17886395e-03, 2.47476017e-03],
   [-3.07008922e-02, -1.09781921e-02, -3.69096454e-03, ...,
   -1.19221993e-02, -1.39777903e-02, 8.52933805e-03],
   ...,
   ..........................................

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