Tutorials

Below is a collection of tutorials covering different concepts and using different well-known datasets. The tutorials cover topics linearly, so each of them bases on the terminology used in the previous tutorials.

Note

Note that many examples use OpenCV python package for sample visualization purposes. The package is not a requirement for the PixelPipes package and has to be installed manually.

• Building your first graph
• Sampling image patches
• Getting started with MNIST
  • Sampling MNIST data
• CIFAR and resource lists
  • Resources
  • Define a resource list
• Augmenting images
• VOT and segmented resource lists
• Batching data for training
  • NumPy sink
  • PyTorch sink
  • TensorFlow sink