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<h1 align="center">OdoViz: A 3D Processing and Visualization Tool</h1> | ||
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<div align="center"> | ||
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[![Node.js](https://img.shields.io/badge/-Node.js-gray?logo=node.js)](https://nodejs.org/) | ||
[![React](https://img.shields.io/badge/-React-gray?logo=react)](https://reactjs.org/) | ||
[![Three.js](https://img.shields.io/badge/-Three.js-gray?logo=three.js)](https://threejs.org/) | ||
[![Licence](https://img.shields.io/badge/Licence-MIT-292)](LICENSE) | ||
[![Website](https://img.shields.io/badge/Website-odoviz.cs.nuim.ie-blue)](https://odoviz.cs.nuim.ie/) | ||
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OdoViz is a reactive web-based tool for 3D visualization and processing of autonomous vehicle datasets designed to support common tasks in visual place recognition research. | ||
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</div> | ||
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<br /> | ||
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OdoViz has been published in 2021 IEEE International Intelligent Transportation Systems Conference ([ITSC 2021](https://2021.ieee-itsc.org/)) and is available on IEEE Xplore® [here](https://ieeexplore.ieee.org/document/9564712). If you use this software and/or its code, please cite using | ||
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``` | ||
@INPROCEEDINGS{9564712, | ||
author={Ramachandran, Saravanabalagi and McDonald, John}, | ||
booktitle={2021 IEEE International Intelligent Transportation Systems Conference (ITSC)}, | ||
title={OdoViz: A 3D Odometry Visualization and Processing Tool}, | ||
year={2021}, | ||
pages={1391-1398}, | ||
doi={10.1109/ITSC48978.2021.9564712}} | ||
``` | ||
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The video presentation and tutorials have been made available on YouTube [here](https://www.youtube.com/playlist?list=PLKIavzsN4tuGi1SKDSPss0M8v4zswVEn9) to assist the user in getting to know the system better. OdoViz is open-sourced under the [MIT licence](LICENSE) for the benefit of the wider research community. | ||
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## Live Demo | ||
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You can access the hosted demo [here](https://odoviz.cs.nuim.ie). | ||
You can access the hosted instance from the [official website](https://odoviz.cs.nuim.ie), which has been made available for demonstration purposes. You can host your own instance using the instructions given below. | ||
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## Quick Start | ||
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### 1. Clone the repo | ||
1. Clone the repo | ||
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```sh | ||
git clone https://github.com/robotvisionmu/odoviz.git | ||
cd odoviz | ||
``` | ||
```sh | ||
git clone https://github.com/robotvisionmu/odoviz.git | ||
cd odoviz | ||
``` | ||
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You can then setup and start the server in one of the following methods: | ||
1. Setup and start the server in one of the following methods: | ||
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- using docker | ||
- using npm/yarn. | ||
<details> | ||
<summary>Docker</summary> | ||
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### 2a. Docker | ||
```sh | ||
# Build container | ||
docker build -t odoviz:latest . | ||
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```sh | ||
# Build container | ||
docker build -t odoviz:latest . | ||
# Set ODOVIZ_DATA_DIR and execute container | ||
export ODOVIZ_PORT=3001 ODOVIZ_DATA_DIR=<datasets_dir> | ||
docker run --rm -d -v $ODOVIZ_DATA_DIR:/data -p $ODOVIZ_PORT:3001 odoviz:latest | ||
``` | ||
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# Set DATA_DIR and execute container | ||
export PORT=3001 DATA_DIR=<datasets_dir> | ||
docker run --rm -d -v $DATA_DIR:/data -p $PORT:3001 odoviz:latest | ||
``` | ||
</details> | ||
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### 2b. Without Docker | ||
<details> | ||
<summary>NPM or Yarn</summary> | ||
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```sh | ||
# Install dependencies and build client app | ||
cd client | ||
yarn install | ||
NODE_ENV=production yarn run build | ||
```sh | ||
# Install dependencies and build client app | ||
cd client | ||
yarn install | ||
NODE_ENV=production yarn run build | ||
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# Install dependencies for server | ||
cd .. | ||
yarn install | ||
# Install dependencies for server | ||
cd .. | ||
yarn install | ||
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# Set DATA_DIR and start server | ||
export PORT=3001 DATA_DIR=<datasets_dir> | ||
yarn start | ||
``` | ||
# Set ODOVIZ_DATA_DIR and start server | ||
export ODOVIZ_PORT=3001 ODOVIZ_DATA_DIR=<datasets_dir> | ||
yarn start | ||
``` | ||
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</details> | ||
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Note that the `datasets_dir` is the parent directory containing various datasets. | ||
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1. Access the front-end | ||
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Once the server is started (using Docker or yarn), you can open http://localhost:3001 and use it. For more details about the client, please refer to the [client README.md](client/README.md) | ||
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For general questions and queries, open a new thread in [discussions](https://github.com/robotvisionmu/odoviz/discussions). If the software does not work as intended, please check the existing [issues](https://github.com/robotvisionmu/odoviz/issues) before raising a new issue. [Pull requests](https://github.com/robotvisionmu/odoviz/pulls) are welcome. | ||
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### 3. Accessing the front-end | ||
## Acknowledgements | ||
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Once the server is started (using Docker or yarn), you can open http://localhost:3001 and use it. Video tutorials have been made available on [YouTube](https://www.youtube.com/playlist?list=PLKIavzsN4tuGi1SKDSPss0M8v4zswVEn9) to assist the user in getting to know the system better. For more details about the client, please refer to the [client README.md](client/README.md) | ||
This work was supported by [Science Foundation Ireland](https://www.sfi.ie/) grant 13/RC/2094 to [Lero - the Irish Software Research Centre](https://lero.ie/) and grant 16/RI/3399 and [Maynooth University](https://www.maynoothuniversity.ie/). The website and the live instance is hosted by Department of Computer Science, Maynooth University. |
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