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ansonyanxin's Projects

orb_slam3 icon orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

pamtri icon pamtri

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification (ICCV 2019) - Official PyTorch Implementation

pcdet icon pcdet

PCDet Toolbox in PyTorch for 3D Object Detection from Point Cloud

person_search_demo icon person_search_demo

利用YOLOv3结合行人重识别模型,实现行人的检测识别,查找特定行人

point-gnn icon point-gnn

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020. https://arxiv.org/abs/2003.01251

pointnet.pytorch icon pointnet.pytorch

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

pointrcnn icon pointrcnn

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

py-motmetrics icon py-motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python

pysot icon pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

pytorch-handbook icon 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

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

r3live icon r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

repnet-mdnet-vehiclereid icon repnet-mdnet-vehiclereid

Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别,车辆再识别,车辆匹配,车辆检索,RepNet/MDNet的一种PyTorch实现

robust-detection-benchmark icon robust-detection-benchmark

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

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