Python reads binary mnist and python binary mnist
Training data Structure:
[offset] [type] [value] [description] 0000 32 bit integer 0x00000803(2051) magic number 0004 32 bit integer 60000 number of images 0008 32 bit integer 28 number of rows 0012 32 bit integer 28 number of columns 0016 unsigned byte ?? pixel 0017 unsigned byte ?? pixel ........ xxxx unsigned byte ?? pixel
Read the entire file:
filename = 'train-images.idx3-ubyte'binfile = open(filename , 'rb')buf = binfile.read()
Read the four 32bit interger headers:
index = 0magic, numImages , numRows , numColumns = struct.unpack_from('>IIII' , buf , index)index += struct.calcsize('>IIII')
Read an image, 784 = 28*28:
im = struct.unpack_from('>784B' ,buf, index)index += struct.calcsize('>784B')im = np.array(im)im = im.reshape(28,28)fig = plt.figure()plotwindow = fig.add_subplot(111)plt.imshow(im , cmap='gray')plt.show()