Stars
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds
Open source solution for inspecting and generating 3D Tiles for urban environments
HFNet-SLAM: An accurate and real-time monocular SLAM system with deep features
Official implementation of Semantic SuperPoint (LARS-2022): https://arxiv.org/abs/2211.01098
My personal note about local and global descriptor
Python package for the evaluation of odometry and SLAM
Python scripts performing object detection using the YOLOv7 model in ONNX.
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.
The benchmark over state-of-the-art classic and deep feature detectors and descriptors.
PyTorch ,ONNX and TensorRT implementation of YOLOv4
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python
Implementation of popular deep learning networks with TensorRT network definition API
Paper reading notes on Deep Learning and Machine Learning
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)
In this project, urban traffic videos are collected from the middle section of Xi 'an South Second Ring Road with a large traffic flow, and interval frames are extracted from the videos to produce …
Minimal PyTorch implementation of YOLOv5 and StrongSort
Codebase for training a thermal SuperPoint network and vocabulary and integrating them with ORB-SLAM2
a list of papers, code, and other resources focus on deep learning SLAM system
A collection of deep learning based localization models
List of awesome infrared small targets detection methods!
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)
Features detection, match and track module. Supported features: orb and superpoints
User-friendly, commercial-grade software for processing aerial imagery.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Visual localization made easy with hloc
Code for the RA-L (IROS) 2021 paper "A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition"