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https://github.com/bertjiazheng/indoor-layout-evaluation
[ECCV Workshop'20] General Room Layout Estimation Track in Holistic 3D Vision Challenge
https://github.com/bertjiazheng/indoor-layout-evaluation
computer-vision room-layout scene-understanding
Last synced: 11 days ago
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[ECCV Workshop'20] General Room Layout Estimation Track in Holistic 3D Vision Challenge
- Host: GitHub
- URL: https://github.com/bertjiazheng/indoor-layout-evaluation
- Owner: bertjiazheng
- License: gpl-3.0
- Created: 2020-04-01T11:35:25.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2022-06-22T02:53:19.000Z (over 2 years ago)
- Last Synced: 2023-03-05T11:54:55.223Z (almost 2 years ago)
- Topics: computer-vision, room-layout, scene-understanding
- Language: Python
- Homepage: https://holistic-3d.github.io/eccv20/
- Size: 23.4 KB
- Stars: 8
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Holistic 3D Vision Challenge on General Room Layout Estimation Track Evaluation Package
This code is used to evaluate [General Room Layout Estimation Track](https://competitions.codalab.org/competitions/24183) on [Holistic Scene Structures for 3D Vision Workshop](https://holistic-3d.github.io/eccv20) at ECCV 2020.
## Installation
Clone repository:
```bash
# downlload the code
git clone [email protected]:bertjiazheng/indoor-layout-evaluation.git
# install requirements
pip install -r requirements.txt
```## Usage
In order to evaluate the layout method, execute the following command:
```bash
python evaluate.py results-folder gt-folder
```## CodaLab Evaluation
In case you would like to know which is the evaluation script that is running in the CodaLab servers, check the [evaluate_codalab.py](evaluate_codalab.py) script.
This package runs in the following docker image: [bertjiazheng/codalab:anaconda3](https://cloud.docker.com/u/bertjiazheng/repository/docker/bertjiazheng/codalab).