In this post, we continue to consider how to speed up inference quickly and painlessly if we already have a trained model in PyTorch. In the previous post We discussed what ONNX and TensorRT are ...
Using Facial Landmarks for Overlaying Faces with Masks
Have you ever wondered how Instagram masks are fitting so perfectly on your face? Would you like to know how you can try to implement something similar by yourself? This post will help you with that! ...
TensorBoard with PyTorch Lightning
A picture is worth a thousand words! As computer vision and machine learning experts, we could not agree more. Human intuition is the most powerful way of making sense out of random chaos, ...
PyTorch to CoreML model conversion
Neural network usage usually takes a lot of computations, but in our modern world, even a smartphone can be a device to run your trained neural model. Today we will take a look at how we can convert a ...
Playing Rock, Paper, Scissors with AI
Let’s play rock, paper scissors.You think of your move and I’ll make mine below this line in 1...2…and 3. I choose ROCK. Well? ...who won. It doesn't matter cause you probably glanced at the ...
CNN Receptive Field Computation Using Backprop with TensorFlow
In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network 'sees' ...