JEONG HYEONJIN's repositories
multical
Multi-camera calibration using one or more calibration patterns
gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
extrinsic2pyramid
Visualize Camera's Pose Using Extrinsic Parameter by Plotting Pyramid Model on 3D Space
hands_on_gtsam
Repository for learning GTSAM
okvis
OKVIS: Open Keyframe-based Visual-Inertial SLAM.
okvis_ros
OKVIS: Open Keyframe-based Visual-Inertial SLAM (ROS Version)
VINS-RGBD-FAST
VINS-RGBD-FAST is a SLAM system based on VINS-RGBD. We do some refinements to accelerate the system's performance in resource-constrained embedded platforms, like HUAWEI Atlas 200DK, Raspberry Pi.
Sophus
C++ implementation of Lie Groups using Eigen.
awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
PyMO
A library for machine learning research on motion capture data
TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
Dataset_Utilities
NVIDIA Dataset Utilities (NVDU)
embedded_ROVER5
Sources to control ROVER5
lecture_bit202007
Deep Learning Class 202007 Practice Problems
basic_idea
기본개념들을 정리.
image_segmentation_project
Real-Time Image Segmentation을 구현해보기 위한 팀프로젝트
jetson_tx2_black_box_app
black box application on jetson tx2 board
auto_colorization_project
자동채색 알고리즘을 구현하기 위한 개인 프로젝트
PyQt_tutorial
PyQt Tutorial Codes
algorithm_problem_solving
코딩테스트 준비
neural_motion_project
소수의 특징점을 가진 환경(VR 기기 등)에서 다수의 특징점을 신경망으로 예측해 Full Body Tracking하는 것을 목표로 하는 기업외주과제
Real-time-human-pose-estimation-by-pytorch
A reimplementation of real time human pose estimation using Pytorch. Both CMU's original model and mobilenet backbone are provided. The code is optimized for a faster inference time !
pixel-cnn
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
ResidualNet
Implementation of ResidualNet on CIFAR-10 dataset. test model with various option(bottleneck block, projection shortcut) (모델변형 간의 성능비교)