https://github.com/emuell/afec-visualizers
Visualization experiments for AFEC's classification models using plotly Dash.
https://github.com/emuell/afec-visualizers
afec dash plotly
Last synced: over 1 year ago
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Visualization experiments for AFEC's classification models using plotly Dash.
- Host: GitHub
- URL: https://github.com/emuell/afec-visualizers
- Owner: emuell
- License: gpl-3.0
- Created: 2021-08-13T12:49:12.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2021-08-16T11:57:41.000Z (almost 5 years ago)
- Last Synced: 2025-01-12T05:40:59.547Z (over 1 year ago)
- Topics: afec, dash, plotly
- Language: Python
- Homepage:
- Size: 22.5 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: COPYING
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README
# AFEC Visualizers
This repository contains visualization experiments for [AFEC](https://git.github.com/emuell/afec)'s classification models using [plotly dash](https://plotly.com/dash/).
## Explorer
Shows high-level features of an afec database in a simple table. Clicking on an entry shows the sample waveform and plays the audio file.
### Usage
```bash
python explorer.py PATH_TO/afec.db
```
Then open the dash server's URL in your browser. This usually is http://127.0.0.1:8050/
### Dependencies
Python3 with the following pip modules:
- pysqlite3, plotly, dash, pydub, just_playback
## Classification Cluster
Creates a 2d t-SNE cluster from the afec high-level classification data. Clicking on a point in the plot shows the samples detailed classification scores and the sample waveform and also plays the audio file.
### Usage
```bash
python classification-cluster.py PATH_TO/afec.db
```
Then open the dash server's URL in your browser. This usually is http://127.0.0.1:8050/
### Dependencies
Python3 with the following pip modules:
- pysqlite3, sklearn, densmap-learn, pandas, numpy, plotly, dash, pydub, just_playback