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This product features an Intelligent Transport System with Multiple object tracking and License Plate detection. Main functions: Multiple object tracking with Re-id support Object counting and area-contour counting License Plate (Vietnam Standard) detection, with text recognition IoT system oriented with Jetson Nano deployment as edged devices

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SontranBK/MOT_LicensePlate

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Getting started

Pip

pip install -r requirements.txt
cd YOLOX
pip install -v -e .

Nvidia Driver

Make sure to use CUDA Toolkit version 11.2 as it is the proper version for the Torch version used in this repository: https://developer.nvidia.com/cuda-11.2.0-download-archive

torch2trt

Clone this repository and install: https://github.com/NVIDIA-AI-IOT/torch2trt

Download a pretrained model

Download pretrained yolox_s.pth file: https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_s.pth

Copy and paste yolox_s.pth from your downloads folder into the 'YOLOX' folder of this repository.

Convert model to TensorRT

python tools/trt.py -n yolox-s -c yolox_s.pth

Runing with YOLOX-s

python detector.py

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This product features an Intelligent Transport System with Multiple object tracking and License Plate detection. Main functions: Multiple object tracking with Re-id support Object counting and area-contour counting License Plate (Vietnam Standard) detection, with text recognition IoT system oriented with Jetson Nano deployment as edged devices

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