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《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Object detection, 3D detection, and pose estimation using center point detection:
Simple Online Realtime Tracking with a Deep Association Metric
OpenMMLab's next-generation platform for general 3D object detection.
A PyTorch Implementation of Single Shot MultiBox Detector
Simple examples to introduce PyTorch
PyTorch ,ONNX and TensorRT implementation of YOLOv4
Simple, online, and realtime tracking of multiple objects in a video sequence.
MOT using deepsort and yolov3 with pytorch
SECOND for KITTI/NuScenes object detection
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Frustum PointNets for 3D Object Detection from RGB-D Data
World's first general purpose 3D object detection codebse.
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右，书稿每章对应的代码也会被整理出来。
nutonomy / second.pytorch
Forked from traveller59/second.pytorchPointPillars for KITTI object detection
Code for 3D object detection for autonomous driving
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
Multiple object tracking using Kalman Filter and Hungarian Algorithm - OpenCV
PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
[ICCV2019] Robust Multi-Modality Multi-Object Tracking
A multi-camera vehicle detection, tracking and re-identification system
Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset