YOLOX-TensorRT(8.2.0.6) in webcam

The repo is a complement to the official repo. There are three differences:

• Windows 10
• TensorRT 8.2.0.6
• Webcam

Step 1: Prepare serialized engine file

Follow the trt python demo README to convert and save the serialized engine file.

Check the 'model_trt.engine' file generated from Step 1, which will be automatically saved at the current demo dir.

Step 2: build the demo

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:

Step 2: build the demo

Please follow the TensorRT Installation Guide to install TensorRT.

And you should set the TensorRT path, OpenCV 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;

build the demo:

1. Building the project through cmake -gui.exe
2. Generating yolox.exe from VS

run the demo:

yolox.exe ../model_trt.engine -i

or

yolox.exe <path/to/your/engine_file> -i