YOLO Series TensorRT Python/C++
简体中文
Support
YOLOv8、YOLOv7、YOLOv6、 YOLOX、 YOLOV5、YOLOv3
- YOLOv8
- YOLOv7
- YOLOv6
- YOLOX
- YOLOv5
- YOLOv3
Update
- 2023.5.12 Update
- 2023.1.7 support YOLOv8
- 2022.11.29 fix some bug thanks @JiaPai12138
- 2022.8.13 rename reop、 public new version、 C++ for end2end
- 2022.8.11 nms plugin support ==> Now you can set --end2end flag while use
export.pyget a engine file - 2022.7.8 support YOLOv7
- 2022.7.3 support TRT int8 post-training quantization
Prepare TRT Env
Install via Python
pip install --upgrade setuptools pip --user
pip install nvidia-pyindex
pip install --upgrade nvidia-tensorrt
pip install pycuda
Install via C++
Try YOLOv8
Install && Download Weights
pip install ultralyticsExport ONNX
from ultralytics import YOLO
model = YOLO("yolov8s.pt")
model.fuse()
model.info(verbose=False) # Print model information
model.export(format='onnx') # TODO: Generate TRT File
python export.py -o yolov8n.onnx -e yolov8n.trt --end2end --v8 --fp32Inference
python trt.py -e yolov8n.trt -i src/1.jpg -o yolov8n-1.jpg --end2end Python Demo
Expand
YOLOv5
!git clone https://github.com/ultralytics/yolov5.git!wget https://github.com/ultralytics/yolov5/releases/download/v6.1/yolov5n.pt!python yolov5/export.py --weights yolov5n.pt --include onnx --simplify --inplace include NMS Plugin
!python export.py -o yolov5n.onnx -e yolov5n.trt --end2end!python trt.py -e yolov5n.trt -i src/1.jpg -o yolov5n-1.jpg --end2end exclude NMS Plugin
!python export.py -o yolov5n.onnx -e yolov5n.trt !python trt.py -e yolov5n.trt -i src/1.jpg -o yolov5n-1.jpg YOLOX
!git clone https://github.com/Megvii-BaseDetection/YOLOX.git!wget https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_s.pth!cd YOLOX && pip3 install -v -e . --user!cd YOLOX && python tools/export_onnx.py --output-name ../yolox_s.onnx -n yolox-s -c ../yolox_s.pth --decode_in_inferenceinclude NMS Plugin
!python export.py -o yolox_s.onnx -e yolox_s.trt --end2end!python trt.py -e yolox_s.trt -i src/1.jpg -o yolox-1.jpg --end2end exclude NMS Plugin
!python export.py -o yolox_s.onnx -e yolox_s.trt !python trt.py -e yolox_s.trt -i src/1.jpg -o yolox-1.jpg YOLOv6
!wget https://github.com/meituan/YOLOv6/releases/download/0.1.0/yolov6s.onnxinclude NMS Plugin
!python export.py -o yolov6s.onnx -e yolov6s.trt --end2end!python trt.py -e yolov6s.trt -i src/1.jpg -o yolov6s-1.jpg --end2endexclude NMS Plugin
!python export.py -o yolov6s.onnx -e yolov6s.trt !python trt.py -e yolov6s.trt -i src/1.jpg -o yolov6s-1.jpg YOLOv7
!git clone https://github.com/WongKinYiu/yolov7.git!wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-tiny.pt!pip install -r yolov7/requirements.txt!python yolov7/export.py --weights yolov7-tiny.pt --grid --simplifyinclude NMS Plugin
!python export.py -o yolov7-tiny.onnx -e yolov7-tiny.trt --end2end!python trt.py -e yolov7-tiny.trt -i src/1.jpg -o yolov7-tiny-1.jpg --end2endexclude NMS Plugin
!python export.py -o yolov7-tiny.onnx -e yolov7-tiny-norm.trt!python trt.py -e yolov7-tiny-norm.trt -i src/1.jpg -o yolov7-tiny-norm-1.jpgC++ Demo
support NMS plugin show in C++ Demo
Citing
If you use this repo in your publication, please cite it by using the following BibTeX entry.
@Misc{yolotrt2022,
author = {Jian Lin},
title = {YOLOTRT: tensorrt for yolo series},
howpublished = {\url{[https://github.com/Linaom1214/TensorRT-For-YOLO-Series]}},
year = {2022}
}Sponsor
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