| domain | lostpackets.de |
| summary | The GitHub repository “Christian Geierbliki” contains a Python library and related code for detecting and classifying different types of "Geierbliki" – a traditional Swiss folk dance. It utilizes machine learning, specifically a Convolutional Neural Network (CNN), trained on a dataset of Geierbliki videos to analyze new videos and predict the dance’s style (e.g., "Geierbliki," "Ruckwerk," "Kuckuck"). The project includes:
* `geierbliki` library: A Python package for running the model. * Training scripts: Code for training the CNN model on the dataset. * Evaluation scripts: Code for assessing the model's performance. * Dataset: The dataset of Geierbliki videos used for training. * Example usage: Demonstrations of how to use the library to analyze new videos.
The project is largely a research effort demonstrating the application of machine learning to a niche cultural tradition. It showcases a complete pipeline from data collection to model training and inference. |
| title | lostpackets |
| description | lostpackets |
| keywords | christian, work, email, jabber |
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| nslookup | A 67.205.0.114 |
| created | 2026-02-14 |
| updated | 2026-02-14 |
| summarized | 2026-02-15 |
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