Updated readme for simulators
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README.md
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# R3PM-Net Datasets
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This repository contains the two proposed datasets; **Sioux-Cranfield** and **Sioux-Scans**, which aim to address the gap between synthetic datasets and real-world industrial data.
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It also contains the
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## Sioux-Cranfield
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This is a diverse collection of 13 objects designed to evaluate model robustness across varying data qualities. The dataset contains 4
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<p><b>Sioux-Scans point cloud data.</b> Target (blue) and Source (yellow) point clouds for seven distinct objects.</p>
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##
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These
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# R3PM-Net Datasets
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This repository contains the two proposed datasets; **Sioux-Cranfield** and **Sioux-Scans**, which aim to address the gap between synthetic datasets and real-world industrial data.
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It also contains the pickle files made from a subset of the Sioux-Cranfield dataset that can be used to train models.
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## Sioux-Cranfield
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This is a diverse collection of 13 objects designed to evaluate model robustness across varying data qualities. The dataset contains 4
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<p><b>Sioux-Scans point cloud data.</b> Target (blue) and Source (yellow) point clouds for seven distinct objects.</p>
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</div>
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## Simulators
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This directory contains pickle (.pkl) files compatible with the [Learning3d](https://github.com/vinits5/learning3d) library and can be used to train or fine-tune models.
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These files are created from a subset of the Sioux-Cranfield containing the "teeth", "cube", "lime" and "lego" CAD models. There are 320 point cloud pairs in total, with 80-20 train-test split.
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