Gpetrak

Gpetrak's Stars

• tudelft3d/City3D

  Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds

  Language:C++23439

• geosolutions-it/digital-twin-toolbox

  Open source solution for inspecting and generating 3D Tiles for urban environments

  Language:TypeScript394

• LiuLimingCode/HFNet_SLAM

  HFNet-SLAM: An accurate and real-time monocular SLAM system with deep features

  Language:C++8615

• Gabriel-SGama/Semantic-SuperPoint

  Official implementation of Semantic SuperPoint (LARS-2022): https://arxiv.org/abs/2211.01098

  Language:Python415

• shamangary/awesome-local-global-descriptor

  My personal note about local and global descriptor

  64295

• MichaelGrupp/evo

  Python package for the evaluation of odometry and SLAM

  Language:Python3.4k746

• ibaiGorordo/ONNX-YOLOv7-Object-Detection

  Python scripts performing object detection using the YOLOv7 model in ONNX.

  Language:Python20057

• magicleap/SuperPointPretrainedNetwork

  PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

  Language:Python1.9k393

• hpatches/hpatches-benchmark

  Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.

  Language:MATLAB20966

• kristijanbartol/keypoint-algorithms-benchmark

  The benchmark over state-of-the-art classic and deep feature detectors and descriptors.

  Language:Jupyter Notebook333

• Tianxiaomo/pytorch-YOLOv4

  PyTorch ,ONNX and TensorRT implementation of YOLOv4

  Language:Python4.5k1.5k

• ternaus/TernausNet

  UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

  Language:Python1k247

• doleron/yolov5-opencv-cpp-python

  Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python

  Language:Python329103

• wang-xinyu/tensorrtx

  Implementation of popular deep learning networks with TensorRT network definition API

  Language:C++6.9k1.8k

• patrick-llgc/Learning-Deep-Learning

  Paper reading notes on Deep Learning and Machine Learning

  Language:Jupyter Notebook1.1k177

• ethz-asl/hfnet

  From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

  Language:Python773185

• RPFey/UnsuperPoint

  An unofficial implementation of UnsuperPoint

  Language:Python418

• John1liu/YOLOV5-DeepSORT-Vehicle-Tracking-Master

  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 data sets for training and verification of YOLO V5 neural network. Combined with the detection results, the open-source vehicle depth model data set is used to train the vehicle depth feature weight file, and the deep-sort algorithm is used to complete the target tracking, which can realize real-time and relatively accurate multi-target recognition and tracking of moving vehicles.

  Language:Jupyter Notebook7911

• kadirnar/yolov5-strongsort

  Minimal PyTorch implementation of YOLOv5 and StrongSort

  Language:Python6515

• dongdv95/yolov5

  Language:Python6064

• specarmi/Thermal_SuperPoint_SLAM

  Codebase for training a thermal SuperPoint network and vocabulary and integrating them with ORB-SLAM2

  Language:Python8118

• cuge1995/Deep-SLAM

  a list of papers, code, and other resources focus on deep learning SLAM system

  15315

• changhao-chen/deep-learning-localization-mapping

  A collection of deep learning based localization models

  633126

• Tianfang-Zhang/awesome-infrared-small-targets

  List of awesome infrared small targets detection methods!

  22438

• cvg/pixloc

  Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

  Language:JavaScript73692

• b51/FeatureTracker

  Features detection, match and track module. Supported features: orb and superpoints

  Language:C++286

• OpenDroneMap/WebODM

  User-friendly, commercial-grade software for processing aerial imagery. 🛩

  Language:JavaScript2.8k944

• OpenDroneMap/ODM

  A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

  Language:Python4.8k1.1k

• cvg/Hierarchical-Localization

  Visual localization made easy with hloc

  Language:Python3.1k575

• Nik-V9/HEAPUtil

  Code for the RA-L (IROS) 2021 paper "A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition"

  Language:Python717