RemGao

automl

Google Brain AutoML

autoware

Open-source software for self-driving vehicles

awesome-multiple-object-tracking

Paper list for multiple object tracking

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Awesome-Trajectory-Prediction

bdd_segmentation

BDD data Drivable Area Segmentation;ai challenger

CenterPoint

DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

dataset-api

Api for visualize sample data, evaluation of different tasks

deepMOT

Official implementation of DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.

DMAN_MOT

Easy-Ipm-Client

An easy, interface friendly cross-platform client to generate bird's view images using inverse perspective mapping methods proposed in paper "Adaptive Inverse Perspective Mapping for Lane Map Generation with SLAM"

ELECTRICITY-MTMC

ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City(CVPR 2020 AI City Challenge Track 3)

GPGraph-GAO

interactive_trajectory_prediction

next-prediction

Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019

NN-SVG

Publication-ready NN-architecture schematics.

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Pointnet2_PyTorch

PyTorch implementation of Pointnet2/Pointnet++

pysot

Pytorch-SiamFC

Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"

pytracking

Visual tracking library based on PyTorch.

segmap

A map representation based on 3D segments

sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

SRLSTM

States Refinement LSTM

Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

TrackNPred

Code base for our ACM CSCS 2019 paper:

TrackR-CNN

TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)

TubeTK

Official implementation of paper: TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model (CVPR 2020 oral)

Yolov5_DeepSort_Pytorch

Real-time multi-person tracker using YOLO v5 and deep sort