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luna2199's Projects

2018aicity_teamuw icon 2018aicity_teamuw

The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation

bot-sort icon bot-sort

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

cfenet icon cfenet

Comprehensive Feature Enhancement Module for Single-Shot Object Detector

dair-v2x icon dair-v2x

A devkit for DAIR-V2X dataset and Rope3D dataset

dair-v2x-1 icon dair-v2x-1

A modified version of the OpenDAIRV2X for the competition of VIC3D Object Detection challenge.

dcnv2_latest icon dcnv2_latest

DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

dut-vtuav icon dut-vtuav

Visible-Thermal UAV Tracking: A Large-Scale Benchmark (CVPR2022)

hyperlpr_v2 icon hyperlpr_v2

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

jetson-inference icon jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

oc_sort icon oc_sort

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

paddleseg icon paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

retinanet_traffic_3d icon retinanet_traffic_3d

Implementation for paper: "Detection of 3D bounding boxes of vehicles using perspective transformation for accurate speed measurement"

rknn-cpp-multithreading icon rknn-cpp-multithreading

A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。

rknn-multi-threaded icon rknn-multi-threaded

A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。

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