Rapternmn / Pytorch Onnx Tensorrt
A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3
Stars: ✭ 66
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PyTorch-Onnx-Tensorrt
A set of tool which would make your life easier with Tensorrt and Onnxruntime for Yolov3.
Requirements
- Python 3
- OpenCV
- PyTorch
- Onnx 1.4.1
- Onnxruntime
- Tensorrt
I would Highly Recommend setting up a Nvidia Deepstream/Tensorrt Docker for these operations.
Downloading YoloV3 Configs and Weights
mkdir cfg
cd cfg
wget https://raw.githubusercontent.com/pjreddie/darknet/f86901f6177dfc6116360a13cc06ab680e0c86b0/cfg/yolov3.cfg
mkdir weights
cd weights
wget https://pjreddie.com/media/files/yolov3.weights
Editing Config File
Inorder to Run the model in Pytorch or creating Onnx / Tensorrt File for different Input image Sizes ( 416, 608, 960 etc), you need to edit the Batch Size and Input image size in the config file - net info section.
batch=1
width=416
height=416
Running the detector Using Pytorch
python3 detect.py --cfg cfg/yolov3.cfg --weights weights/yolov3.weights
Generating the Onnx File
python3 create_onnx.py --reso 416
Running the detector Using ONNX
python3 detect.py --use_onnx True --onnx_file yolov3.onnx
Generating the Tensorrt File
python3 create_trt_engine.py --onnx_file yolov3.onnx
Creating the Tensorrt engine takes some time. So have some patience.
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