Lazarus/FPC CIFAR-10 Support / Unit - 60000 Tiny Images
lazarus / 39-Graphics

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schuler · 2017-06-27 22:26

Hello

There is a very interesting project about collecting 60000 tiny 32x32
RGB images and then labeling.
https://www.cs.toronto.edu/~kriz/cifar.html

They make available binary files for download. These files have 10000
images each.

These images are usually used to train their neural networks for image
classification/recognition.

In the case that someone might be interested, I coded a fpc/lazarus
lib able to load these cifar 10 binary files and save into TImage
component objects.

The pascal unit ucifar10.pas is located at:
https://sourceforge.net/p/cai/svncode/HEAD/tree/trunk/lazarus/libs/uci
far10.pas

There are some functions to transform from RGB to Gray and edge
detection. Please find attached images.

 I wish everyone happy coding.

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schuler · 2017-10-11 03:55

Hello

To whom may concern, there is a fully functional CIFAR 10 classifier
code in plain free pascal here:
https://sourceforge.net/p/cai/svncode/HEAD/tree/trunk/lazarus/testcnna
lgo/testcnnalgo.lpr

Above code uses convoultional neural networks. In the case that your
processor supports AVX and AVX2 instructions (either 32 or 64 bits
modes), you can uncomment AVX defines at unit uvolume . Leave these
defines commented for a portable code.

In the case that you have never heard about a CIFAR 10 classifier,
there is a web browser/javascript version implemented here:
https://cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html

As you may presume, a FPC/AVX2 implementation is lightning faster than
a javascript implementation.

  Have fun