OpenLenda

OpenLenda is a Japanese traffic light detection and recognition model.

🚥Introduction

OpenLenda is a Japanese traffic light recognition model based on YOLOX. This model not only detects traffic lights but can also recognize their colors and specific arrow indications in an end-to-end manner. For more information about the development, please visit https://zenn.dev/turing_motors/articles/traffic-light (Japanese article). This repository is for model publication.

🚙Getting Started

Installation

1. Clone this repository.

   git clone https://github.com/turingmotors/openlenda.git
   cd openlenda

2. Install python dependencies. We strongly recommend using pyenv and poetry to manage python versions and dependencies.

   pyenv install 3.8.10
   pyenv local 3.8.10
   poetry install

3. Download the pretrained weights.

   wget https://github.com/turingmotors/openlenda/releases/download/v0.1.0/openlenda_s.pth -P models

Demo

If you don't have a GPU, please remove --gpu from the following commands.

python tools/demo.py video -f exps/openlenda_s.py\
    -c models/openlenda_s.pth\
    --path assets/tokyo_day.mp4\
    --conf 0.5 --nms 0.01 --tsize 640 --save_result --gpu

Export ONNX

python tools/export_onnx.py --output-name openlenda_s.onnx\
    -f exps/openlenda_s.py\
    -c models/openlenda_s.pth\

📈Performance

AP and AR are evaluated on the private validation set. The results are shown below.

Model	size	AP50	AR50	Download
OpenLenda-nano	416x416	0.941	0.830	link
OpenLenda-tiny	416x416	0.944	0.807	link
OpenLenda-s	640x640	0.964	0.946	link
OpenLenda-x	640x640	0.950	0.961	link

📚Documentation

Please see YOLOX's README or docs (almost same as YOLOX's).

🤔Q & A

Check Q and A.

About Datasets

Is the dataset publicly available?

Sorry, but the dataset is private.

How many images are there in the dataset?

About 44,000 images.

About Training and Evaluation

Can I use this repository for learning and evaluation?

This is possible under the Apache 2.0 license. However, at this time, it is not possible to use the code in this repository as-is for training and evaluation, so you will need to modify the code yourself.

Orginization

Turing Inc.

📝License

This project is licensed under the Apache License 2.0. See LICENSE for more details.

🙏Acknowledgement

This project is based on YOLOX.