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| import os | |
| import struct | |
| from array import array | |
| import numpy as np | |
| class MNIST(object): | |
| def __init__(self, path='.'): | |
| self.path = path | |
| self.test_img_fname = 't10k-images-idx3-ubyte' | |
| self.test_lbl_fname = 't10k-labels-idx1-ubyte' | |
| self.train_img_fname = 'train-images-idx3-ubyte' | |
| self.train_lbl_fname = 'train-labels-idx1-ubyte' | |
| self.test_images = [] | |
| self.test_labels = [] | |
| self.train_images = [] | |
| self.train_labels = [] | |
| def load_testing(self): | |
| ims, labels = self.load(os.path.join(self.path, self.test_img_fname), | |
| os.path.join(self.path, self.test_lbl_fname)) | |
| self.test_images = ims | |
| self.test_labels = labels | |
| return ims, labels | |
| def load_training(self): | |
| return self.load(os.path.join(self.path, self.train_img_fname), | |
| os.path.join(self.path, self.train_lbl_fname)) | |
| @classmethod | |
| def load(cls, path_img, path_lbl): | |
| with open(path_lbl, 'rb') as file: | |
| magic, size = struct.unpack(">II", file.read(8)) | |
| if magic != 2049: | |
| raise ValueError('Magic number mismatch, expected 2049,' | |
| 'got {}'.format(magic)) | |
| labels = array("B", file.read()) | |
| with open(path_img, 'rb') as file: | |
| magic, size, rows, cols = struct.unpack(">IIII", file.read(16)) | |
| if magic != 2051: | |
| raise ValueError('Magic number mismatch, expected 2051,' | |
| 'got {}'.format(magic)) | |
| for i in xrange(size): | |
| print i | |
| image_data = array("B", file.read(rows * cols)) | |
| yield (image_data, labels[i]) | |
| @classmethod | |
| def display(cls, img, width=28, threshold=200): | |
| render = '' | |
| for i in range(len(img)): | |
| if i % width == 0: | |
| render += '\n' | |
| if img[i] > threshold: | |
| render += '@' | |
| else: | |
| render += '.' | |
| return render |
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