xwspace's Stars
microsoft/FairMOT
This project provides an official implementation of our recent work on real-time multi-object tracking in videos. The previous works conduct object detection and tracking with two separate models so they are very slow. In contrast, we propose a one-stage solution which does detection and tracking with a single network by elegantly solving the alignment problem. The resulting approach achieves groundbreaking results in terms of both accuracy and speed: (1) it ranks first among all the trackers on the MOT challenges; (2) it is significantly faster than the previous state-of-the-arts. In addition, it scales gracefully to handle a large number of objects.
ifzhang/FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
SimonsRoad/gf-pl-slam
HeYijia/PL-VIO
monocular visual inertial system with point and line features
rubengooj/pl-slam-ros
PL-SLAM ROS Wrapper
rubengooj/pl-slam
This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.
Tomas-Lee/SIFTGPUBF
适配目前最新CUDA环境的SIFTGPU代码
posclegom/psiphon
Ewenwan/ORB_SLAM2_SSD_Semantic
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
qixuxiang/orb-slam2_with_semantic_label
orb-slam2 with semantic label
raulmur/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
yepeichu123/orbslam2_learn
Learn ORBSLAM2 and divide the source code into many parts according to their function which can be easily built by the learner from my blog.
TowardsNorth/yolo_v1_tensorflow_guiyu
the implementation of YoloV1 by tensorflow
ayooshkathuria/YOLO_v3_tutorial_from_scratch
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
ayooshkathuria/pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.