.mat 파일 읽어오기

ro_ot ㅣ 2020. 1. 31. 16:57

%tensorflow_version 2.0x
import tensorflow as tf
from tensorflow import keras
from google.colab import files

# 구글 드라이브에 파일을 업로드해두고 읽는 방식
from google.colab import drive
drive.mount('/content/drive')

import numpy as np
from scipy.io import loadmat
import matplotlib.pyplot as plt

from google.colab import drive
drive.mount('/content/drive')

mat = loadmat('test_32x32.mat')
mat.keys()

%tensorflow_version 2.0x
import tensorflow as tf
from tensorflow import keras
from google.colab import files

# 파일 업로드 방식
uploaded = files.upload()

from scipy import io
mat_file = io.loadmat('test_32x32.mat')

# 데이터 획득
x = mat['X']
y = mat['y']
x.shape, y.shape

# 전처리
x = np.transpose(x, [3,0,1,2])/255
y = y[:, 0]
x.shape, y.shape, np.max(x)

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