Pinned Repositories
AlterGround-LeGO-LOAM
The page for PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry
autodrive_perception
自动驾驶感知
basic_knowledge
Things to learn for new students in the Lab for AI chips and systems of BJTU .
blender-mathutils
ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
CalibNet_pytorch
Pytorch implementation of CalibNet
calibtools
标定工具箱
camodocal
CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry
ceres-solver
A large scale non-linear optimization library
test_gtsam
手写高斯牛顿法和gtsam学习心得
jamefrank's Repositories
jamefrank/testICP
A variety of ICP algorithm implementation, can be used to do comparative testing. Include ICP_CERES, ICP_G2O,ICP_SVD etc.
jamefrank/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
jamefrank/slam_in_autonomous_driving_change
高博新书《自动驾驶与机器人中的SLAM技术》源码修改版，根据深蓝学院要求，对每一章的代码进行特定修改，以实现不同的功能。
jamefrank/ImageStitch
A Fast Algorithm for Material Image Sequential Stitching
jamefrank/matplotlibcpp17
A C++ header-only library for matplotlib based on pybind
jamefrank/Off-Road-Freespace-Detection
Official implementation of our ICRA'22 paper: ORFD: A Dataset and Benchmark for Off-Road Freespace Detection
jamefrank/ISNet
CVPR2022 ''ISNet: Shape Matters for Infrared Small Target Detection''
jamefrank/CLRNet
Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
jamefrank/cppmatplotlib
jamefrank/HHM
jamefrank/TrackEval
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
jamefrank/camodocal
CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry
jamefrank/torch_cpp
scripted and traced deep learning models and their applications
jamefrank/KinematicBicycleModel
Python description of the Kinematic Bicycle Model with an animated example.
jamefrank/ThreadPool
A simple C++11 Thread Pool implementation
jamefrank/ct_icp
CT-ICP: Continuous-Time LiDAR Odometry
jamefrank/gicp_slam
GICP点云配准算法复现
jamefrank/pytorch_tutorial
唐宇迪Pytorch实战课程资料
jamefrank/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
jamefrank/light-reid
[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x
jamefrank/AlterGround-LeGO-LOAM
The page for PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry
jamefrank/SuperLine3D
[ECCV 2022] SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud
jamefrank/yolov5_in_tf2_keras
YOLOv5 in TF2 > TFLite > ONNX > TensorRT
jamefrank/pytorch-worker
A framework for training, evaluating and testing models in pytorch.
jamefrank/basic_knowledge
Things to learn for new students in the Lab for AI chips and systems of BJTU .
jamefrank/vnote
jamefrank/RTSNet_ICASSP22
Extend KalmanNet to smoothing
jamefrank/SuperGlue-pytorch
[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
jamefrank/S-LOAM
S-LOAM(Simple LOAM) 是一种简单易学的激光SLAM算法，整个程序只有几百行代码，十分方便学习与试验分析。
jamefrank/superglue-with-pointnet
Use PointNet++ with SuperGlue for point cloud registration