levipereira/yolov9-qat

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Python
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Apache License 2.0
Created 7 months ago
Updated 3 months ago

levipereira/yolov9-qat

levipereira

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Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.

triton-server-yolo

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

deepstream-yolo-e2e

Implementation of End-to-End YOLO Models for DeepStream

deepstream-yolov9

Implementation of Nvidia DeepStream 7 with YOLOv9 Models.

triton-client-yolo

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

deepstream-yolo-triton-server-rtsp-out

The Purpose of this repository is to create a DeepStream/Triton-Server sample application that utilizes yolov7, yolov7-qat, yolov9 models to perform inference on video files or RTSP streams.

yolo_e2e

Implementation of End-to-End YOLO Models

Docker-Yolov7-Nvidia-Kit

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.

nvdsinfer_yolo_efficient_nms

This repository provides a custom implementation of parsing function to the Gst-nvinferserver plugin when use YOLOv7/YOLOv9 model served by Triton Server using the Efficient NMS plugin exported by ONNX.

nvdsinfer_yolov7_efficient_nms

NvDsInferYolov7EfficientNMS for Gst-nvinferserver