| %% download cifar10 dataset |
| system('wget https://www.cs.toronto.edu/~kriz/cifar-10-matlab.tar.gz') |
| system('tar -xzvf cifar-10-matlab.tar.gz') |
| load cifar-10-batches-mat/test_batch.mat |
| |
| %% convert test dataset of cifar10, and save |
| X = reshape(data', [32, 32, 3, 10000]); |
| X = permute(X, [2 1 3 4]); |
| Y = labels + 1; |
| |
| |
| save cifar10-test X Y |
| %% preview one picture |
| imshow(imresize(X(:,:,:,2), [128, 128])) |
| |
| %% |
| |
| !wget http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz |
| !wget http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz |
| !gunzip t10k-images-idx3-ubyte.gz |
| !gunzip t10k-labels-idx1-ubyte.gz |
| |
| %% |
| |
| fid = fopen('t10k-images-idx3-ubyte', 'r'); |
| d = fread(fid, inf, '*uint8'); |
| fclose(fid); |
| X = reshape(d(17:end), [28 28 1 10000]); |
| X = permute(X, [2 1 3 4]); |
| |
| fid = fopen('t10k-labels-idx1-ubyte', 'r'); |
| d = fread(fid, inf, '*uint8'); |
| fclose(fid); |
| Y = d(9:end) + 1; |
| |
| save mnist-test X Y |
