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license: mit |
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--- |
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# InfernoSaber Model Repository |
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## Overview |
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Welcome to the InfernoSaber, an Automapper for BeatSaber with fully adjusteable difficulty. |
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### Model List |
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Recommendation of the models/branches in the following order: |
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- expert_15: Current favorite, trained on curated high difficulty maps (8+ nps) with a like/dislike rate >90%. Usually generates good flow. |
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- easy_15: Trained on curated low difficulty maps (5- nps) with a like/dislike rate >90%. More creativity but less flow, especially for high difficulty maps. |
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- pp3_15: Trained on random maps from my personal collection, mainly ranked high PP maps. |
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- fav_15: Trained on all personal favorite maps throughout the years, mainly in the NPS area of 5-8 |
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### Model Details |
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- **Model Name**: InfernoSaber |
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- **Model Version**: v.1.7.0 |
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- **Architecture**: Multiple custom DNN and Autoencoder with TF v.15 |
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- **Training Objective**: Classification/Creation of song maps |
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- **Language**: Python |
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- **License**: Model and source code are free to use |
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- **Repository**: https://github.com/fred-brenner/InfernoSaber---BeatSaber-Automapper |
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## Intended Use |
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This repository contains the trained models for inference (go to the other branches at the top: "Files and versions", click on "main" -> select "expert_15" or similar). |
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All models are trained on different datasets with mixed genre. |
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The models are required by the source code at github (and automatically downloaded if not found). |
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## Inference and Training |
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The models can be run on most systems and do not require GPU for inference. |
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For training / creation of new models, the following specs are required: |
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- 10-20 GB free RAM per 50 maps (mainly depending on the creativity of the maps) |
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- 8-15 GB VRAM per 50 maps (mainly depending on the creativity of the maps) |
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## Limitations and Ethical Considerations |
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The models and corresponding source code are *free to use*. |
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Selling the generated maps is prohibited and labeling as human made is against the beatsaver policies. |
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This project is not meant to be replacing human maps, but as extension to cover more unkown songs and massively reduce the amount of human effort required. |
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## Contact Information |
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If you have comments, suggestions, or want to contribute to new models/features feel free to open a discussion. |
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Cheers! |
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