AstroStarDetect

PyTorch checkpoints and deployment code for astronomical image denoising and star removal.

Source repository: https://github.com/CHMimilanlan/AstroColorProcess

Included models

Model Parameters Parameter count (B) Checkpoint size Purpose
Cosmic Clarity AI 3.6 wrapper 2,945,283 0.002945B 33.77 MiB Astronomical image denoising
StarNet RGB generator 54,420,483 0.054420B 207.67 MiB Star removal from RGB TIFF images
StarNet greyscale generator 54,414,337 0.054414B 207.64 MiB Star removal from greyscale TIFF images
All checkpoints 111,780,103 0.111780B 449.08 MiB Stored models; RGB and greyscale variants are not normally loaded together

FP32 parameter memory is 11.24 MiB for the denoiser, 207.60 MiB for StarNet RGB, and 207.57 MiB for StarNet greyscale. At batch 1 and 256×256 input, profiled FP32 tensor-memory peaks are approximately 361.67 MiB, 356.33 MiB, and 355.31 MiB respectively. These are compute-graph estimates and exclude the CUDA context, cuDNN workspace, and allocator cache. The measurements were collected in a CPU-only PyTorch environment, so they are not direct CUDA max_memory_allocated measurements. See the GitHub README for sizing methodology, 512×512 estimates, and recommended GPU capacities.

Quick start

git clone https://github.com/CHMimilanlan/AstroColorProcess.git
cd AstroColorProcess
python -m pip install -r requirements.txt
python download_models.py

Denoise an image:

python StarDenoise/denoise.py input.tif output.tif --device auto --strength 0.85

Remove stars from an RGB TIFF image:

python StarNetPyTorch/starnet_v1_pytorch_transform.py input.tif output_starless.tif --mode RGB

The download helper places every checkpoint at the default location expected by the inference scripts. See the GitHub README for Windows/Conda instructions, parameters, checksums, offline deployment, and licensing notes.

Attribution and licensing

StarDenoise wraps the Cosmic Clarity AI 3.6 PyTorch model and retains its upstream MIT license text. StarNetPyTorch is a PyTorch translation and inference example for the StarNet architecture. Third-party checkpoints and examples remain subject to their original upstream terms; verify those terms before commercial use.

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