TRTForYolov3

Desc

tensorRT for Yolov3

Test Enviroments

Ubuntu  16.04
TensorRT 4.0.1.6
CUDA 9.0

Models

Download the caffe model converted by official model:

• caffemodel here
• prototxt here

Run Sample

#build source code
git submodule update --init --recursive
mkdir build
cd build && cmake .. && make && make install
cd ..

#for mobilenet-yolov3-608

> sh demo.sh

Performance

Model	GPU	Mode	Inference Time
mobilenet-yolov3-608	GTX 1080	float32	12.655ms
mobilenet-yolov3-608	Jetson nano	float32	247.655ms
mobilenet-yolov3-lite-320	Jetson nano	float32	114.055ms
mobilenet-yolov3-lite-320	Jetson nano	float16	97.189 ms

• The performance in jetson nano was not satisfactory , I will try to optimize it

Details About Wrapper

see link TensorRTWrapper