The code uses PCA of SKlearn to identify the oriented bounding boxes. In this case, the data standardization is not done. You can standardize the data using SKlearn standardscalar if you need.
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AJAY31797/Object-Detection-in-Point-Clouds-Using-PCA
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This is a simple implementation of converting clustered point clouds into oriented bounding boxes using python. Any suggested improvements are welcome.
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