Tag: computer vision
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PyTorch Lightning: How To Keep Your PyTorch Project Clean
As an engineer in perception and computer vision, I tend to work with PyTorch a lot. It’s a very flexible framework and there are already many useful components built into it that prevent you from having to build it yourself. However, if you have already built a few projects with it, you might have noticed…
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A Starting Point for Learning Visual SLAM
If you are like me, you are probably fascinated by the idea of SLAM and since you are here reading Perception ML articles, you are probably even more excited about Visual SLAM. Along my path to become a better engineer, I have been doing some self-study about Visual SLAM.
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Why You Should Always Visualize A Batch From Your Data Loader
Here is one thing that every engineer working with AI hears at some point: Garbage In, Garbage Out However, despite that, something that I still see often enough in the Computer Vision industry and no doubt affects other machine learning disciplines as well is a complete lack of checking what is coming out of the…
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A Potential “Gotcha” When Building Your Own YOLOv3
For anyone interested in computer vision, you’ve probably thought about, attempted or accomplished building your own object detection network before. It’s a good challenge after getting comfortable with a deep learning library and wrapping your head around classification models. One great choice for your first attempt at building an object detection model is YOLOv3. It…
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Computer Vision: How Your Laptop Sees Things
You may have already noticed it, but in this day and age computers being able to understand images is a wide spread concept. When you open your photo album app and search for “baby kittens”, somehow the computer magically knows you are looking for adorable little furballs instead of last night’s dinner or whatever else…
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Getting Started with Libtorch
In the interest of getting as many readers as fast as possible, for the first post on this blog, I’m going to jump straight into the most exciting topic I can think of: C++. Sorry, not sorry. In the future, I’ll be writing about everything from computer perception and machine learning to more general software…
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