<br> <img src="https://media0.giphy.com/media/J19OSJKmqCyP7Mfjt1/giphy.gif" width="80" height="30" /> DeepStream 8.0 – Ultra-Optimized AI Video Analytics Stack

🔖 EXCLUSIVE Release – Fully Optimized • Low-Code • Docker-Ready

<p align="center"> <p align="center"><img width="70%" src="demo.gif"></p> </p> <p align="center"> <b>YOLO Detection • YOLO Pose • Tracking • ROI Analytics • Multi-Stream Pipelines • Python First</b><br> <b>Fully Optimized · Low Code · Docker Ready · Production Tested</b> </p> <p align="center"> <img src="https://img.shields.io/badge/DeepStream-8.0-green?style=for-the-badge&logo=nvidia"/> <img src="https://img.shields.io/badge/CUDA-12.x-green?style=for-the-badge&logo=nvidia"/> <img src="https://img.shields.io/badge/Python-3.10+-blue?style=for-the-badge&logo=python"/> <img src="https://img.shields.io/badge/Ubuntu-24.04-orange?style=for-the-badge&logo=ubuntu"/> <img src="https://img.shields.io/badge/GPU-Driver%20570.133.20-yellow?style=for-the-badge&logo=nvidia"/> </p>

---

🖥 Recommended System Setup

| Component | Recommended / Supported | | ---------------------- | ------------------------------------------- | | OS | Ubuntu 24.04 LTS | | NVIDIA Driver | 570.133.20 | | CUDA Compatibility | Fully compatible with DeepStream 8.0 | | DeepStream Version | DeepStream 8.0 (Production Ready) | | Docker Support | Yes – NVIDIA Container Runtime required | | Bare Metal Support | Supported (Native DS 8.0 Install) |

✔️ Fully Docker Compatible ✔️ Supports Bare-Metal ✔️ Works for Python & C++ pipelines ✔️ Optimized for YOLOv5/YOLOv8/YOLO-Pose/Custom CNNs

---

⚡ Quick Start (1 Step)

Setup your GPU + environment → Pull repo → Run QuickTest.sh

---

Install NVIDIA driver

Follow NVIDIA official quick install:

🔗 https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Quickstart.html

---

Clone this Repo and Run Quick Demo

git clone https://github.com/bharath5673/Deepstream.git

cd Deepstream
bash QuickDemo.sh

Runs instantly with DS8.0-ready configs:

• YOLO Detection
• YOLO Pose
• Tracking
• Multi-Model + Multi-Stream
• ROI analytics

---

🎯 What This Repo Provides

✔️ Docker-Ready

Run your inference stack inside a fully isolated DeepStream 8.0 Docker environment. Just clone the prebuilt YOLO DS Docker image and start running demos instantly.

---

✔️ DeepStream 8.0 Templates (Production Ready)

• Multi-model pipelines
• YOLO detection & pose estimation
• Trajectory tracking
• ROI-based counting
• Multi-stream tiled processing
• Triton-ready configurations
• Python & C++ implementations

---

✔️ Fully-Optimized & Low-Code

Minimal coding required — just edit config files and run. Get maximum performance with minimal effort.

---

🌟 Showcase Gallery

🔥 Multi-Model Pipeline

<p align="center"><img width="70%" src="https://user-images.githubusercontent.com/33729709/210167600-6a677a62-40ee-4afa-b484-d0d56e78e230.gif"></p>

🔗 DeepStream-Configs/DeepStream-MultiModel

---

🟦 ROI Based Counting (Python)

<p align="center"><img width="70%" src="https://user-images.githubusercontent.com/33729709/211142186-a9ecd225-4f90-4310-91df-862e243f8833.gif"></p>

🔗 DeepStream-Python/

---

🟧 Yolo POSE

<p align="center"><img width="70%" src="pose_demo.gif"></p>

🔗 DeepStream-Python/

---

⚙️ Custom CNN → DeepStream in 3 Steps

<p align="center"><img width="60%" src="https://user-images.githubusercontent.com/33729709/222878115-7e34dbe3-ac50-4388-9430-e82db1e31a37.jpeg"></p>

🔗 CNN-to-DeepStream/

---

⚡ Quick Demo

cd Deepstream
bash QuickDemo.sh

---

📂 Repo Structure

Deepstream/
│
├── DeepStream-Configs/
│   ├── DeepStream-MultiModel/
│   ├── test/ (multi-stream, tiling, custom pipelines)
│
├── DeepStream-Python/
│   ├── yolo
│   ├── yolo + pose
│   ├── ROI counting
│   ├── trajectory tracking
│
├── CNN-to-DeepStream/
│
└── QuickTest.sh

---

---

🙏 Acknowledgements

<p align="center"> <img src="https://upload.wikimedia.org/wikipedia/commons/2/21/Nvidia_logo.svg" height="55"/> &nbsp;&nbsp;&nbsp; <img src="https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg" height="55"/> &nbsp;&nbsp;&nbsp; <img src="https://raw.githubusercontent.com/pytorch/pytorch/master/docs/source/_static/img/pytorch-logo-dark.png" height="55"/> &nbsp;&nbsp;&nbsp; <img src="https://opencv.org/wp-content/uploads/2020/07/OpenCV_logo_black.png" height="55"/> &nbsp;&nbsp;&nbsp; <img src="https://www.cnx-software.com/wp-content/uploads/2019/12/MediaPipeLogo.png" height="65"/> &nbsp;&nbsp;&nbsp; <img src="https://github.com/sivamsinghsh/Meta-Back-End-Developer-Professional-Certificate/blob/main/meta-logo.png" height="65"/> &nbsp;&nbsp;&nbsp; <img src="https://repository-images.githubusercontent.com/642900742/389fa240-0ff7-4a06-9863-4623f12cad4b" height="65"/> &nbsp;&nbsp;&nbsp; <img src="https://upload.wikimedia.org/wikipedia/commons/c/c0/ONNX_logo_main.png" height="75"/> &nbsp;&nbsp;&nbsp; <img src="https://camo.githubusercontent.com/4b99b5f67e5e01f9ba4d88092d59b81a473b8f8fba65b8d3b5dd638fafdcee58/68747470733a2f2f7777772e74656e736f72666c6f772e6f72672f696d616765732f74665f6c6f676f5f686f72697a6f6e74616c2e706e67" height="95"/> </p> <p align="center"> <b>Massive respect to the open-source community powering the DeepStream 8.0 ecosystem.</b><br> <i>Models, configs, tracking logic, pose models, and deployment workflows are built on top of these amazing projects.</i> </p>

---

🔰 Credits & Sources

<details> <summary><b>🟩 YOLO Ecosystem</b></summary><br>

• https://github.com/marcoslucianops/DeepStream-Yolo
• https://github.com/ultralytics/ultralytics
• https://github.com/ultralytics/yolov5
• https://github.com/ultralytics/yolov3
• https://github.com/WongKinYiu/yolor
• https://github.com/WongKinYiu/PyTorch_YOLOv4
• https://github.com/WongKinYiu/ScaledYOLOv4
• https://github.com/Megvii-BaseDetection/YOLOX
• https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose

</details>

---

<details> <summary><b>🟦 Core AI / CV Architectures</b></summary><br>

• https://github.com/AlexeyAB/darknet
• https://github.com/DingXiaoH/RepVGG
• https://github.com/JUGGHM/OREPA_CVPR2022

</details>

---

<details> <summary><b>🟧 NVIDIA + DeepStream + Metropolis</b></summary><br>

• NVIDIA DeepStream SDK
• NVIDIA Metropolis documentation
• NVIDIA TensorRT & ONNX conversion tools
• NVIDIA samples & reference apps

</details>

---

<details> <summary><b>🔵 Tracking, ROI, Multi-Model Inspirations</b></summary><br>

• NvDCF + KLT Tracker designs
• MOT community publications
• ROI analytics from DS sample apps
• Common open-source tracking repos

</details>

---

⭐ Special Thanks

<p align="center"> Thank you to every researcher, engineer, and developer who has contributed to<br> YOLO, tracking algorithms, CNN architectures, and DeepStream integration guides. </p> <p align="center"><b>This project stands on the shoulders of giants.</b></p>

---