# MIT License
# Copyright 2018 Ryan Hausen
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
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# furnished to do so, subject to the following conditions:
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# THE SOFTWARE.
# ==============================================================================
"""Used to fetch data files"""
import os
from typing import List
from astropy.io import fits
import numpy as np
[docs]def get_sample(out_dir: str = None) -> List[np.ndarray]:
"""Retrieves a sample of CANDELS data as an example for classification.
Sample image is taken from the CANDELS 1.0 release. The object in the center
is GDS_deep2_3622 from Karaltepe et. al (2015).
Data can be manually downloaded from:
https://drive.google.com/uc?export=download&id=1fFGUVOVMOGLG4ptgAZv0T9Woimr653kn
Args:
out_dir (str): if not None the location to save the data at.
Returns:
A list of numpy arrays containing the H, J, V, and Z bands in that order
"""
# Got direct link format from: https://www.labnol.org/internet/direct-links-for-google-drive/28356/
url = "https://drive.google.com/uc?export=download&id=1fFGUVOVMOGLG4ptgAZv0T9Woimr653kn"
raw_data = fits.getdata(url)
bands = [raw_data[i] for i in range(4)]
if out_dir:
for name, data in zip(["h", "j", "v", "z"], bands):
out_path = os.path.join(out_dir, f"{name}.fits")
fits.PrimaryHDU(data=data).writeto(out_path)
return bands