How bots made me 16.8 times more productive, and I have the data to prove it
Measuring four and a half years of commits How bots made me 16.8× more productive, and I have the data […]
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Cuda Zero-copy on Jetson
My image processing library was written for desktop machines with discrete GPUs. On a Jetson, most of what it was
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Bot (LLM) workflow for optimal code
Bots will destroy your code if you let them. Always remember that bots have a limited memory context; the longer
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Workflows for High Quality AI Generated Code
Copilot has freed me to create some powerful GUI tools to rapidly speed up embedded development. One of the big
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How AI Coding Assistants Made Me a Better Software Architect
December is a great time for reflection on the past year — and what a year it has been. I
ONNX
Build onnx runtime for Windows
https://onnxruntime.ai/docs/build/inferencing.html Choose a temporary build directory such as : D:\workspace\onnx_build. Choose a workspace and cd to the workspace then clone
Image Processing, NVIDIA Jetson, tensorflow
Porting a Keras trained model to Jetson Xavier
I have been training resnet models on my Windows desktop machine with big GPUs. Now I need to deploy these
Cuda, Image Processing, NVIDIA Jetson
NVIDIA 2D Image and Signal Performance Primitives (NPP)
Based on the lack of examples and discussion in the forums, I assume the NPP are under-utilized and under-appreciated. Since
Cuda
Calling Cuda functions from C#
This is a demonstration of creating a C# wrapper for a Cuda function. The example Cuda function is ‘invertImageCuda()’ and
Image Processing, Numpy, tensorflow
create tensorflow data set from a list of numpy images
It took me a while to figure out the most optimal way to do this, so I thought I would