18. Open model deployment on DeepStream (Thanks for the sharing!)
Yolo2/3/4/5/OR : Improved DeepStream for YOLO models (Thanks @marcoslucianops )
YoloV4 : GitHub - NVIDIA-AI-IOT/yolo_deepstream: yolo model qat and deploy with deepstream&tensorrt + deepstream_yolov4.tgz - Google Drive
YoloV4+dspreprocess : deepstream_yolov4_with_nvdspreprocess.tgz - Google Drive
YoloV5 + nvinfer : GitHub - beyondli/Yolo_on_Jetson
Yolov5-small : Custom Yolov5 on Deepstream 6.0 (Thanks @raghavendra.ramya)
YoloV5+Triton : Triton Inference through docker - #7 by mchi
YoloV5_gpu_optimization: GitHub - NVIDIA-AI-IOT/yolov5_gpu_optimization: This repository provides YOLOV5 GPU optimization sample
YoloV7: GitHub - NVIDIA-AI-IOT/yolo_deepstream: yolo model qat and deploy with deepstream&tensorrt
YoloV7+Triton: Deepstream / Triton Server - YOLOv7(Thanks @Levi_Pereira )
YoloV7+nvinfer: Tutorial: How to run YOLOv7 on Deepstream(Thanks @vcmike )
YoloV8+nvinfer: Deploy YOLOv8 on NVIDIA Jetson using TensorRT and DeepStream SDK | Seeed Studio Wiki