hugohadfield/pytorch_image_regression
A template for doing regression from images with pytorch
This project helps machine learning practitioners predict a continuous value or vector from images, a task known as image regression. It takes a collection of images and a CSV file mapping each image to its target numeric values, then outputs a trained model capable of making predictions on new images. This is useful for data scientists and ML engineers working on computer vision tasks that go beyond simple categorization.
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Use this if you need a clear, basic example to set up an image regression task in PyTorch, especially if you're finding it hard to get started with predicting continuous values instead of categories from images.
Not ideal if you are looking for an out-of-the-box solution with advanced features or state-of-the-art model architectures for complex, production-ready systems.
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Language
Python
License
MIT
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Last pushed
Oct 20, 2024
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