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 implementation for YOLO models
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Download Latest Version (.zip)- FUNDING.yml
- benchmarks.md
- CODETR.md
- customModels.md
- DAMOYOLO.md
- DFINE.md
- dGPUInstalation.md
- GoldYOLO.md
- INT8Calibration.md
- multipleGIEs.md
- multipleGIEs_tree.png
- PPYOLOE.md
- RFDETR.md
- RTDETR_Paddle.md
- RTDETR_PyTorch.md
- RTDETR_Ultralytics.md
- RTMDet.md
- YOLO11.md
- YOLO26.md
- YOLOMaster.md
- YOLONAS.md
- YOLOR.md
- YOLOv10.md
- YOLOv12.md
- YOLOv13.md
- YOLOv5.md
- YOLOv5u.md
- YOLOv6.md
- YOLOv7.md
- YOLOv8.md
- YOLOv9.md
- YOLOX.md
- activation_layer.cpp
- activation_layer.h
- batchnorm_layer.cpp
- batchnorm_layer.h
- channels_layer.cpp
- channels_layer.h
- convolutional_layer.cpp
- convolutional_layer.h
- deconvolutional_layer.cpp
- deconvolutional_layer.h
- implicit_layer.cpp
- implicit_layer.h
- pooling_layer.cpp
- pooling_layer.h
- reorg_layer.cpp
- reorg_layer.h
- route_layer.cpp
- route_layer.h
- sam_layer.cpp
- sam_layer.h
- shortcut_layer.cpp
- shortcut_layer.h
- slice_layer.cpp
- slice_layer.h
- upsample_layer.cpp
- upsample_layer.h
- calibrator.cpp
- calibrator.h
- Makefile
- nvdsinfer_yolo_engine.cpp
- nvdsparsebbox_Yolo.cpp
- nvdsparsebbox_Yolo_cuda.cu
- utils.cpp
- utils.h
- yolo.cpp
- yolo.h
- yoloForward.cu
- yoloForward_nc.cu
- yoloForward_v2.cu
- yoloPlugins.cpp
- yoloPlugins.h
- export_codetr.py
- export_damoyolo.py
- export_dfine.py
- export_goldyolo.py
- export_ppyoloe.py
- export_rfdetr.py
- export_rtdetr_paddle.py
- export_rtdetr_pytorch.py
- export_rtdetr_ultralytics.py
- export_rtmdet.py
- export_yolo11.py
- export_yolo26.py
- export_yolomaster.py
- export_yolonas.py
- export_yolor.py
- export_yoloV10.py
- export_yolov12.py
- export_yoloV13.py
- export_yoloV5.py
- export_yoloV5u.py
- export_yoloV6.py
- export_yoloV7.py
- export_yoloV7_u6.py
- export_yoloV8.py
- export_yoloV9.py
- export_yolox.py
- config_infer_primary.txt
- config_infer_primary_codetr.txt
- config_infer_primary_damoyolo.txt
- config_infer_primary_dfine.txt
- config_infer_primary_goldyolo.txt
- config_infer_primary_ppyoloe.txt
- config_infer_primary_ppyoloe_plus.txt
- config_infer_primary_rfdetr.txt
- config_infer_primary_rtdetr.txt
- config_infer_primary_rtmdet.txt
- config_infer_primary_yolo11.txt
- config_infer_primary_yolo26.txt
- config_infer_primary_yolomaster.txt
- config_infer_primary_yolonas.txt
- config_infer_primary_yolonas_custom.txt
- config_infer_primary_yolor.txt
- config_infer_primary_yoloV10.txt
- config_infer_primary_yoloV12.txt
- config_infer_primary_yoloV13.txt
- config_infer_primary_yoloV2.txt
- config_infer_primary_yoloV5.txt
- config_infer_primary_yoloV5u.txt
- config_infer_primary_yoloV6.txt
- config_infer_primary_yoloV7.txt
- config_infer_primary_yoloV8.txt
- config_infer_primary_yoloV9.txt
- config_infer_primary_yolox.txt
- config_infer_primary_yolox_legacy.txt
- deepstream_app_config.txt
- labels.txt
- labels_rfdetr.txt
- LICENSE.md
- README.md
π Installation Guide
1. Get the code
git clone https://github.com/marcoslucianops/DeepStream-Yolo
Downloads the entire project code from GitHub to your computer.
cd DeepStream-Yolo
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- APT (Debian/Ubuntu κ³μ΄) Built into Debian/Ubuntu-based Linux distributions.
- Python 3 Python is required to use pip.
apt-get install build-essential
Installs directly from the APT package repository (Debian/Ubuntu-based).
pip3 install meson
Installs the package published on PyPI directly β no need to clone the source.
pip3 install ninja
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Make
MediumPrerequisites
- Git Needed to download the project code from GitHub.
- Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
make -C nvdsinfer_custom_impl_Yolo clean && make -C nvdsinfer_custom_impl_Yolo
Compiles the code based on the generated build configuration to produce an executable.
If it finishes without errors, it worked. Try running the generated executable directly.
Pulled directly from this repo's README.
// repository documentation
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