astro-csbdeep
astro-csbdeep is an astronomical processing toolbox for building and using ai models to denoise your astro images.
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Download Latest Version (.zip)- tests.yml
- tests_cron.yml
- tests_legacy.yml
- settings.json
- __init__.py
- filedialogs.py
- __init__.py
- fits.py
- __init__.py
- astrodenoise.ico
- color-palette-outline.png
- eye-off-outline.png
- eye-outline.png
- file-outline.png
- log-out-outline.png
- save-outline.png
- __init__.py
- app.py
- applayout.py
- astrodenoise.kv
- cli.py
- compare.py
- dialogs.py
- imagelayout.py
- main.py
- slider.py
- uiimage.py
- version.py
- Benchmark.md
- NGC6888_ppi150_p128_NoPreProcessor__norm_percentiles_ChanCol_Shuffled_Llaplace-PRB-True_B128_SPE49_E50_V1.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_percentiles_ChanCol_Shuffled_Llaplace-PRB-True_B128_SPE49_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_percentiles_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_percentiles_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_simple_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_simple_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-2.8_0.25_ChanCol_Shuffled_Llaplace-PRB-True_B128_SPE49_E50_V1.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-2.8_0.25_ChanCol_Shuffled_Llaplace-PRB-True_B128_SPE49_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-2.8_0.25_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-2.8_0.25_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-4_0.001_ChanCol_Shuffled_Llaplace-PRB-True_B128_SPE49_E50_V1.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-4_0.001_ChanCol_Shuffled_Llaplace-PRB-True_B128_SPE49_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-4_0.001_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-4_0.001_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-4_0.185_ChanCol_Shuffled_Llaplace-PRB-True_B128_SPE49_E50_V1.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-4_0.185_ChanCol_Shuffled_Llaplace-PRB-True_B128_SPE49_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-4_0.185_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1.png
- NGC6888_ppi150_p128_NoPreProcessor__norm_stf_-4_0.185_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE49_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi220_p128_NoPreProcessor__norm_stf_-2.8_0.25_ChanCol_Shuffled_Lhdr-PRB-False_B128_SPE177_E50_V1.png
- NGC6888_ppi220_p128_NoPreProcessor__norm_stf_-2.8_0.25_ChanCol_Shuffled_Lhdr-PRB-False_B128_SPE177_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- NGC6888_ppi220_p128_NoPreProcessor__norm_stf_-2.8_0.25_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE177_E50_V1.png
- NGC6888_ppi220_p128_NoPreProcessor__norm_stf_-2.8_0.25_ChanCol_Shuffled_Lmse-PRB-False_B128_SPE177_E50_V1_RGB_CrescentNebula-NoSt-Deep.png
- __init__.py
- generate.py
- generate_hdf5.py
- prepare.py
- rawdata.py
- transform.py
- __init__.py
- blocks.py
- losses.py
- nets.py
- predict.py
- probability.py
- train.py
- train_hdf5.py
- __init__.py
- __init__.py
- base_model.py
- care_hdf5.py
- care_isotropic.py
- care_projection.py
- care_standard.py
- care_upsampling.py
- config.py
- pretrained.py
- __init__.py
- care_predict.py
- __init__.py
- plot_utils.py
- six.py
- tf.py
- utils.py
- __init__.py
- version.py
- .placeholder
- conf.py
- datagen.rst
- index.rst
- install.rst
- models.rst
- prediction.rst
- training.rst
- Makefile
- upload.sh
- watch_and_build.sh
- carenet.png
- denoising_binning_overview.png
- 1_datagen.ipynb
- 2_training.ipynb
- 3_prediction.ipynb
- 1_training.ipynb
- 2_prediction.ipynb
- 1_datagen.ipynb
- 2_training.ipynb
- 3_prediction.ipynb
- 1_datagen.ipynb
- 2_training.ipynb
- 3_prediction.ipynb
- technical.ipynb
- 1_datagen.ipynb
- 2_training.ipynb
- 3_prediction.ipynb
- prediction.ipynb
- 1_datagen.ipynb
- 2_training.ipynb
- 3_prediction.ipynb
- README.md
- care_example_denoising_upsampling_2D_colab.ipynb
- environment-gpu-py3.7-tf2.3.yml
- environment-gpu-py3.8-tf2.4.yml
- README.md
- .placeholder
- AstroDN.js
- AstroDNCLI.js
- AstroDNDialog.js
- __init__.py
- test_datagen.py
- test_models.py
- test_utils.py
- clear_notebooks.sh
- create_zip_contents.py
- ftp_connect.sh
- .gitignore
- AstroNoise2Noise-LargeData.ipynb
- AstroNoise2Noise-WorkingWithFitsFiles.ipynb
- AstroNoise2Noise.ipynb
- LICENSE.txt
- README.md
- requirements.txt
- setup.cfg
- setup.py
# Installation Guide
1. Get the code
git clone https://github.com/p7ayfu77/astro-csbdeep
Downloads the entire project code from GitHub to your computer.
cd astro-csbdeep
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
(.venv) C:\CSBDeep> jupyter notebook
Type this command into your terminal and run it.
(.venv) C:\CSBDeep> python -m astrodenoise.main myimage.tif
Runs the Python script (or module).
(.venv) C:\CSBDeep> python -m astrodenoise.main -h
Runs the Python script (or module).
(.venv) C:\CSBDeep> python -m astrodenoise.main
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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