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  ---
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  license: gpl-2.0
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  tags:
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- - Radio Astronomy
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- - Mask-RCNN
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- - Pulsar
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- - RRAT
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- - FRB
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- - Signal Processing
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  library_name: pytorch
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  pipeline_tag: image-segmentation
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  datasets:
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- - CRAFTS-FRT
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  metrics:
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- - recall
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- - FPR
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  ---
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- # FRTSEARCH: FAST RADIO TRANSIENT SEARCH
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- FRTSearch is an end-to-end deep learning framework for detecting and characterizing Fast Radio Transients (FRTs), including: Pulsars, Rotating Radio Transients (RRATs) and Fast Radio Bursts (FRBs).
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- ## MODEL INFO
 
 
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  | Item | Value |
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- | :--- | :--- |
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  | Backbone | HRNet-W32 |
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  | Input | 256 × 8192 (freq × time) |
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  | Size | 381.75 MB |
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- | Formats | .fits (PSRFITS), .fil (Filterbank) |
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  | Bit Depth | 1/2/4/8/32-bit |
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  ## QUICK START
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  )
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  ```
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- Or download directly from Files and versions.
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  ## TEST SAMPLES
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  }
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  ```
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- ## TEST SAMPLE REFERENCES
 
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  When using the test samples, please also cite the original observations:
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- * FAST samples: Guo et al. (2025)
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- * SKA samples: Shannon et al. (2018)
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- ## LICENSE & ACKNOWLEDGMENTS
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- GPL-2.0 | Based on MMDetection & PRESTO
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  ---
 
 
 
 
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- 🌌 Questions? GitHub Issues
 
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  ---
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  license: gpl-2.0
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  tags:
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+ - Radio Astronomy
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+ - Mask-RCNN
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+ - Pulsar
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+ - RRAT
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+ - FRB
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+ - Signal Processing
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  library_name: pytorch
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  pipeline_tag: image-segmentation
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  datasets:
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+ - CRAFTS-FRT
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  metrics:
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+ - recall
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+ - FPR
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  ---
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+ # FRTSearch: Fast Radio Transient Search
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+ [![Paper](https://img.shields.io/badge/Paper-AASTeX-blue.svg)](https://doi.org/10.57760/sciencedb.Fastro.00038) [![Dataset](https://img.shields.io/badge/Dataset-CRAFTS--FRT-yellow.svg)](https://doi.org/10.57760/sciencedb.Fastro.00038) [![GitHub](https://img.shields.io/badge/GitHub-FRTSearch-black.svg)](https://github.com/BinZhang109/FRTSearch)
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+ **FRTSearch** is an end-to-end deep learning framework for detecting and characterizing Fast Radio Transients (FRTs), including: **Pulsars**, **Rotating Radio Transients (RRATs)** and **Fast Radio Bursts (FRBs)**.
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+
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+ ## Model Info
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  | Item | Value |
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+ |------|-------|
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  | Backbone | HRNet-W32 |
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  | Input | 256 × 8192 (freq × time) |
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  | Size | 381.75 MB |
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+ | Formats | `.fits` (PSRFITS), `.fil` (Filterbank) |
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  | Bit Depth | 1/2/4/8/32-bit |
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  ## QUICK START
 
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  )
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  ```
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+ Or download directly from [Files and versions](https://huggingface.co/waterfall109/FRTSearch/tree/main).
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  ## TEST SAMPLES
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  }
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  ```
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+
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+ ### Test Sample References
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  When using the test samples, please also cite the original observations:
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+ - **FAST samples**: [Guo et al. (2025)](https://doi.org/10.3847/1538-4365/adf42d)
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+ - **SKA samples**: [Shannon et al. (2018)](https://doi.org/10.1038/s41586-018-0588-y)
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+ ## License & Acknowledgments
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+ GPL-2.0 | Based on [MMDetection](https://github.com/open-mmlab/mmdetection) & [PRESTO](https://github.com/scottransom/presto)
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  ---
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+ <div align="center">
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+ <sub>🌌 Questions? <a href="https://github.com/BinZhang109/FRTSearch/issues">GitHub Issues</a></sub>
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+ </div>
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+ ```
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+ ---