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--- |
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license: mit |
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pretty_name: Ground-based Imaging data |
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tags: |
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- astronomy |
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- compression |
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- images |
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--- |
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# GBI-16-2D Dataset |
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GBI-16-2D is a dataset which is part of the AstroCompress project. It contains data assembled from the Keck Telescope. Note that the underlying data is released under its own license, and our MIT license covers our code contribution. |
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# Usage |
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You first need to install the `datasets` and `astropy` packages: |
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```bash |
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pip install datasets astropy |
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``` |
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There are two datasets: `tiny` and `full`, each with `train` and `test` splits. The `tiny` dataset has 2 2D images in the `train` and 1 in the `test`. The `full` dataset contains all the images in the `data/` directory. |
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## Local Use (RECOMMENDED) |
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You can clone this repo and use directly without connecting to hf: |
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```bash |
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git clone https://huggingface.co/datasets/AstroCompress/GBI-16-2D |
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``` |
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```bash |
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git lfs pull |
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``` |
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Then `cd SBI-16-3D` and start python like: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("./GBI-16-2D.py", "tiny", data_dir="./data/", writer_batch_size=1, trust_remote_code=True) |
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ds = dataset.with_format("np") |
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``` |
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Now you should be able to use the `ds` variable like: |
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```python |
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ds["test"][0]["image"].shape # -> (TBD) |
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``` |
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Note of course that it will take a long time to download and convert the images in the local cache for the `full` dataset. Afterward, the usage should be quick as the files are memory-mapped from disk. |
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## Use from Huggingface Directly |
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This method may only be an option when trying to access the "tiny" version of the dataset. |
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To directly use from this data from Huggingface, you'll want to log in on the command line before starting python: |
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```bash |
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huggingface-cli login |
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``` |
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or |
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``` |
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import huggingface_hub |
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huggingface_hub.login(token=token) |
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``` |
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Then in your python script: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("AstroCompress/GBI-16-2D", "tiny", writer_batch_size=1, trust_remote_code=True) |
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ds = dataset.with_format("np") |
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``` |
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## Demo Colab Notebook |
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We provide a demo collab notebook to get started on using the dataset [here](https://colab.research.google.com/drive/1SuFBPZiYZg9LH4pqypc_v8Sp99lShJqZ?usp=sharing). |
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## Utils scripts |
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Note that utils scripts such as `eval_baselines.py` must be run from the parent directory of `utils`, i.e. `python utils/eval_baselines.py`. |
