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autowarearchitectureproposal

This is the source code of the feasibility study for Autoware architecture proposal.

cnn_seg_lidar

Real time 3D semantic segmentation for Lidar, Ros based project

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

diou-darknet

Distance-IoU Loss into YOLO v3

inference

Reference implementations of MLPerf™ inference benchmarks

mulimgviewer

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

object-detection-and-tracking

YOLO & RCNN Object Detection and Multi-Object Tracking

onnx

Open standard for machine learning interoperability

opencv

Open Source Computer Vision Library

packnet-sfm

TRI-ML Monocular Depth Estimation Repository

pandaset-devkit

raft

rtm3d

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

sfa3d

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

spike-flownet

tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

tensorrt_demos

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

towards-realtime-mot

Joint Detection and Embedding for fast multi-object tracking

uniting-datasets

This repository consists scripts for converting Mapillary and Kitti 360 to the same class space and the scripts to use it.

yolov5_deepsort_pytorch

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