Tag: 機械学習
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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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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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Setting up Libtorch in a Simple Docker Environment
This article will cover how to make a reusable docker environment that you can use in all of your Libtorch projects. A couple of prerequisites: First, Let’s Setup Our Virtual Environment Whether you are programming in Python, C++, or really any other language, it never hurts to work inside of a virtual environment. Maybe you…
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