KleinYuan

chroma

the AI-native open-source embedding database

cupy

NumPy & SciPy for GPU

modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

DAMO-YOLO

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

vidgear

A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:

Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

CV-CUDA

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

deepstream_python_apps

DeepStream SDK Python bindings and sample applications

awesome-multiple-object-tracking

Resources for Multiple Object Tracking (MOT)

depthai-experiments

Experimental projects we've done with DepthAI.

InterFuser

[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

trackformer

Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]

rmm

RAPIDS Memory Manager

tiny-training

On-Device Training Under 256KB Memory [NeurIPS'22]

One-Shot-Object-Detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

CrowdCounting-P2PNet

The official codes for the ICCV2021 Oral presentation "Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework"

SuperFusion

[ICRA 2024] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation

roboflow-100-benchmark

Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets

deepstream-occupancy-analytics

This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.

tensorrt_plugin_generator

A simple tool that can generate TensorRT plugin code quickly.

cloud-ml-examples

A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud

Towards-Realtime-MOT-Cpp

A C++ codebase implementation of Towards-Realtime-MOT

tet

Implementation of Tracking Every Thing in the Wild, ECCV 2022

ASAP

[CVPR 2023] Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark

RGBTCrowdCounting

Official Implement of CVPR 2021 paper “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting”

deepstream-retail-analytics

A DeepStream sample application demonstrating end-to-end retail video analytics for brick-and-mortar retail.

uns20

DCANet

Towards Learning Multi-domain Crowd Counting (T-CSVT, 2021), https://ieeexplore.ieee.org/document/9658506

deepstream-people-flow-mqtt

people flow analysis + MQTT for jetson nano