YOLOV6-TensorRT in C++

Step 1: 准备TRT序列化引擎

git clone https://github.com/meituan/YOLOv6.git

python deploy/ONNX/export_onnx.py --weights yolov6s.pt --img 640 --batch 1

python export.py -o onnx-name -e trt-name -p fp32/16/int8

cd yolov6
python trt.py

model	input		FPS	Device	Language
yolov6s	640*640	FP16	360FPS	A100	Python
yolov6s	640*640	FP32	350FPS	A100	Python
yolov6s	640*640	FP32	330FPS	1080Ti	C++
yolov6s	640*640	FP32	300FPS	1080Ti	Python

Here is a Python Demo mybe help quickly understand this repo Link

Please follow the TensorRT Installation Guide to install TensorRT.

And you should set the TensorRT path and CUDA path in CMakeLists.txt.

If you train your custom dataset, you may need to modify the value of num_class.

const int num_class = 80;

Install opencv with sudo apt-get install libopencv-dev (we don't need a higher version of opencv like v3.3+).

build the demo:

mkdir build
cd build
cmake ..
make

Then run the demo:

./yolov6 ../model_trt.engine -i ../../../../assets/dog.jpg

or

./yolov6 <path/to/your/engine_file> -i <path/to/image>