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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
| Date | Stars |
|---|---|
| 2026-07-24 | 2044 |
| 2026-07-25 | 2044 |
| 2026-07-28 | 2045 |
| 2026-07-30 | 2046 |
| 2026-08-06 | 2046 |
Today
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Momentum
0.0
growth rate 0.00%/day
# DeepStream-Yolo NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 configuration for YOLO models -------------------------------------------------------------------------------------------------- ### For now, I am limited for some updates. Thank you for understanding. -------------------------------------------------------------------------------------------------- ### YOLO-Pose: https://github.com/marcoslucianops/DeepStream-Yolo-Pose ### YOLO-Seg: https://github.com/marcoslucianops/DeepStream-Yolo-Seg ### YOLO-Face: https://github.com/marcoslucianops/DeepStream-Yolo-Face -------------------------------------------------------------------------------------------------- ### Important: please export the ONNX model with the new export file, generate the TensorRT engine again with the updated files, and use the new config_infer_primary file according to your model -------------------------------------------------------------------------------------------------- ### Improvements on this repository * Support for INT8 calibration * Support for non square models * Models benchmarks * Support for Darknet models (YOLOv4, etc) using cfg and weights conversion with GPU post-processing * Support for YOLO-Master, YOLO26, RF-DETR, D-FINE, RT-DETR, CO-DETR (MMDetection), YOLO-NAS, PPYOLOE+, PPYOLOE, DAMO-YOLO, Gold-YOLO, RTMDet (MMYOLO), YOLOX, YOLOR, YOLOv13, YOLOv12, YOLO11, YOLOv10, YOLOv9, YOLOv8, YOLOv7, YOLOv6, YOLOv5u and YOLOv5 using ONNX conversion with GPU post-processing * GPU bbox parser * Custom ONNX model parser * Dynamic batch-size * INT8 calibration (PTQ) for Darknet and ONNX exported models ## ### Getting started * [Requirements](#requirements) * [Supported models](#supported-models) * [Benchmarks](docs/benchmarks.md) * [dGPU installation](docs/dGPUInstalation.md) * [Basic usage](#basic-usage) * [Docker usage](#docker-usage) * [NMS configuration](#nms-configuration) * [Notes](#notes) * [INT8 calibration](docs/INT8Calibration.md) * [YOLOv5 usage](docs/YOLOv5.md) * [YOLOv5u usage](docs/YOLOv5u.md) * [YOLOv6 usage](docs/YOLOv6.md) * [YOLOv7 usage](docs/YOLOv7.md) * [YOLOv8 usage](docs/YOLOv8.md) * [YOLOv9 usage](docs/YOLOv9.md) * [YOLOv10 usage](docs/YOLOv10.md) * [YOLO11 usage](docs/YOLO11.md) * [YOLOv12 usage](docs/YOLOv12.md) * [YOLOv13 usage](docs/YOLOv13.md) * [YOLOR usage](docs/YOLOR.md) * [YOLOX usage](docs/YOLOX.md) * [RTMDet (MMYOLO) usage](docs/RTMDet.md) * [Gold-YOLO usage](docs/GoldYOLO.md) * [DAMO-YOLO usage](docs/DAMOYOLO.md) * [PP-YOLOE / PP-YOLOE+ usage](docs/PPYOLOE.md) * [YOLO-NAS usage](docs/YOLONAS.md) * [CO-DETR (MMDetection) usage](docs/CODETR.md) * [RT-DETR PyTorch usage](docs/RTDETR_PyTorch.md) * [RT-DETR Paddle usage](docs/RTDETR_Paddle.md) * [RT-DETR Ultralytics usage](docs/RTDETR_Ultralytics.md) * [D-FINE usage](docs/DFINE.md) * [RF-DETR usage](docs/RFDETR.md) * [YOLO26 usage](docs/YOLO26.md) * [YOLO-Master usage](docs/YOLOMaster.md) * [Using your custom model](docs/customModels.md) * [Multiple YOLO GIEs](docs/multipleGIEs.md) ## ### Requirements #### DeepStream 8.0 on x86 platform * [Ubuntu 24.04](https://releases.ubuntu.com/24.04/) * [CUDA 12.8 Update 1](https://developer.nvidia.com/cuda-12-8-1-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=runfile_local) * [TensorRT 10.9 GA (10.9.0.34)](https://developer.nvidia.com/nvidia-tensorrt-10x-download) * [NVIDIA Driver 570.195.03 (Data center / Tesla series) / 570.133.20 (TITAN, GeForce RTX / GTX series and RTX / Quadro series)](https://www.nvidia.com/Download/index.aspx) * [NVIDIA DeepStream SDK 8.0](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/deepstream/files?version=8.0) * [GStreamer 1.24.2](https://gstreamer.freedesktop.org/) * [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo) #### DeepStream 7.1 on x86 platform * [Ubuntu 22.04](https://releases.ubuntu.com/22.04/) * [CUDA 12.6 Update 3](https://developer.nvidia.co
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Lakshantha Dissanayake · Ultralytics · Canada
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1bb7988daaf4d930, topic:object-detection, topic:yolo
matched fp:1bb7988daaf4d930, topic:tensorrt
matched fp:1bb7988daaf4d930, topic:cuda
matched fp:1bb7988daaf4d930, topic:pytorch