Visual localization made easy with hloc
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Updated
Apr 16, 2024 - Python
Visual localization made easy with hloc
🤗 image matching toolbox webui
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
[CVPR 2023] IMP: iterative matching and pose estimation with transformer-based recurrent module
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
ROS wrapper for SuperGlue and SuperPoint models
Building a full Visual SLAM pipeline to experiment with different techniques
A PyTorch implementation of SuperGlue
Vision-based GNSS-Free Localization for UAVs in the Wild
SuperGlue training pipeline written using Pytorch Lightning
This repository consists of two major components for a project called E-waste recycling system. One component is used to generate a labelled dataset to train U-Net segmentation network. The second component is used to perform non-rigid registration using Demon's algorithm.
Model Evaluation using SuperGLUE Diagnostic Dataset
This project uses the model from the paper SuperGlue: Learning Feature Matching with Graph Neural Networks and builds on it to implement an analysis of the images returned by the Hand-Up Display. In this project, significant results have been achieved on challenging "complex" geometric images.
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