Spaces:
Sleeping
Sleeping
File size: 1,689 Bytes
1c14bfe 9d444ef 1c14bfe 9d444ef 1c14bfe 9d444ef 1c14bfe 9d444ef |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
---
title: PanopticQuality
tags:
- evaluate
- metric
description: >-
PanopticQuality score
sdk: gradio
sdk_version: 3.19.1
app_file: app.py
pinned: false
emoji: 🕵️
---
# SEA-AI/PanopticQuality
This hugging face metric uses `seametrics.segmentation.PanopticQuality` under the hood to compute a panoptic quality score. It is a wrapper class for the torchmetrics class [`torchmetrics.detection.PanopticQuality`](https://lightning.ai/docs/torchmetrics/stable/detection/panoptic_quality.html).
## Getting Started
To get started with PanopticQuality, make sure you have the necessary dependencies installed. This metric relies on the `evaluate`, `seametrics` and `seametrics[segmentation]`libraries for metric calculation and integration with FiftyOne datasets.
### Installation
First, ensure you have Python 3.8 or later installed. Then, install det-metrics using pip:
```sh
pip install evaluate git+https://github.com/SEA-AI/seametrics@develop
```
### Basic Usage
## Metric Settings
## Output Values
## Further References
- **seametrics Library**: Explore the [seametrics GitHub repository](https://github.com/SEA-AI/seametrics/tree/main) for more details on the underlying library.
- **Torchmetrics**: https://lightning.ai/docs/torchmetrics/stable/detection/panoptic_quality.html
- **Understanding Metrics**: The Panoptic Segmentation task, as well as Panoptic Quality as the evaluation metric, were introduced [in this paper](https://arxiv.org/pdf/1801.00868.pdf).
## Contribution
Your contributions are welcome! If you'd like to improve SEA-AI/PanopticQuality or add new features, please feel free to fork the repository, make your changes, and submit a pull request. |