Luna2199's repositories
2022AICITY_Code_From_Top_Teams
codes from top teams of AI City Challenge 2022
AIC22_Track1_MTMC_ID10
Solution of The AI City Challenge 2022 Track 1
Awesome-Radar-Camera-Fusion
Radar Camera Fusion in Autonomous Driving
BoT-SORT
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
bytetrack-opencv-onnxruntime
分别使用OpenCV、ONNXRuntime部署ByteTrack目标跟踪,包含C++和Python两个版本的程序
DAIR-V2X-1
A modified version of the OpenDAIRV2X for the competition of VIC3D Object Detection challenge.
DUT-VTUAV
Visible-Thermal UAV Tracking: A Large-Scale Benchmark (CVPR2022)
EVOCamCal-vehicleSpeedEstimation
Graduation Project. Vehicle speed estimation using computer vision and evolutionary-based camera calibration
multispectral-object-detection
Multispectral Object Detection with Yolov5 and Transformer
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.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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
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)。
Rope3D-Toolkit
Third-party toolkit for Rope3D dataset
sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
StaticCalibration
Static Calibration based on Bundle Adjustment for 6D pose estimation of traffic surveillance cameras.
tkDNN
Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms
trajectory-extractor
Python implementation of a simple vehicle trajectories extractor from traffic cameras
yolov5-deepsort-tensorrt
A c++ implementation of yolov5 and deepsort
yolov5-face
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
Yolov7-25d
基于yolov7 加入 depth回归