{"push_id":1107336961,"size":3,"distinct_size":3,"ref":"refs/heads/master","head":"0e32788a2778ffab85a1eddbedb1386c223bddae","before":"9a4800f69a9d1aa3fd9ea1f5a04d55d726fecacf","commits":[{"sha":"1e23964433c432a123d99067cb84394ceb826ccb","author":{"email":"846e764fb3358c589164165a9861d58cbaff23d0@gmail.com","name":"Matheus Viana"},"message":"Possible new version\n\nEncapsulates everything in a single loop. The additional loop for\napplying gzip was left out for sake of clarity. The code will work fine\non Mac OS, but it may skip the first folder in other systems that do\nhave the .DS_Store folder. The code works for images of any size\nsmaller than 256x256, but keep in mind images of size 28x28 are\nrequired for MNIST-based machine learning algorithms.","distinct":true,"url":"https://api.github.com/repos/gskielian/JPG-PNG-to-MNIST-NN-Format/commits/1e23964433c432a123d99067cb84394ceb826ccb"},{"sha":"512a3c09c7530710a6ecfade2af08d709af977ed","author":{"email":"846e764fb3358c589164165a9861d58cbaff23d0@gmail.com","name":"Matheus Viana"},"message":"Images to test the code.\n\nImages of digits 0 and 1 extracted form the original MNIST dataset.","distinct":true,"url":"https://api.github.com/repos/gskielian/JPG-PNG-to-MNIST-NN-Format/commits/512a3c09c7530710a6ecfade2af08d709af977ed"},{"sha":"0e32788a2778ffab85a1eddbedb1386c223bddae","author":{"email":"128d3020925a99161fe50fefc886ef14ef46c6f1@gmail.com","name":"Gregory S. Kielian"},"message":"Merge pull request #2 from vianamp/more-generic-approach\n\nPossible new version","distinct":true,"url":"https://api.github.com/repos/gskielian/JPG-PNG-to-MNIST-NN-Format/commits/0e32788a2778ffab85a1eddbedb1386c223bddae"}]}