This is a PyTorch implementation of "SuperPoint: Self-Supervised Interest Point Detection and Description." Daniel DeTone, Tomasz Malisiewicz, ... Train_tutorial.md · Issues 47 · Train_model_subpixel.py · Export_classical.py |
A Pure Pytorch Implementation. SuperPoint: Self-Supervised Interest Point Detection and Description. Thanks. This work is based on: |
SuperPoint model outputting keypoints and descriptors. This model is a PyTorch torch.nn.Module subclass. Use it as a regular PyTorch Module and refer to the ... |
20 дек. 2017 г. · This paper presents a self-supervised framework for training interest point detectors and descriptors suitable for a large number of multiple-view geometry ... |
What have you used this dataset for? · How would you describe this dataset? |
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This paper presents a self-supervised framework for training interest point detectors and descriptors suitable for a large number of multiple-view geometry ... |
4 янв. 2023 г. · SuperPoint starts with MagicPoint - corner/junctions detector supervised by synthetically rendered cube scenes. The adaptation is done under augmentation ... |
PyTorch Hub supports publishing pre-trained models (model definitions and pre-trained weights) to a GitHub repository by adding a simple hubconf.py file. PyTorch-Transformers · All Research Models (52) · 3D ResNet · YOLOv5 |
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