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1. Docker-Yolov7-Nvidia-Kit Docker-Yolov7-Nvidia-Kit Public

   This repository provides an out-of-the-box deployment solution for creating an end-to-end procedure to train, deploy, and use Yolov7 models on Nvidia GPUs using Triton Server and Deepstream.

   Shell 3 1

2. triton-server-yolo triton-server-yolo Public

   This repository serves as an example of deploying the YOLO models on Triton Server for performance and testing purposes

   Shell 28 2

3. triton-client-yolo triton-client-yolo Public

   This repository utilizes the Triton Inference Server Client, which streamlines the complexity of model deployment.

   Python 6

4. yolov9-qat yolov9-qat Public

   Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.

   Python 59 9

5. deepstream-yolov9 deepstream-yolov9 Public

   Implementation of Nvidia DeepStream 7 with YOLOv9 Models.

   Python 7

6. deepstream-yolo-e2e deepstream-yolo-e2e Public

   Implementation of End-to-End YOLO Models for DeepStream

   Python 10 1