jbloom
commited on
Commit
•
c9db20e
1
Parent(s):
13d6592
add tiny dataset and related files
Browse files- GBI-16-2D.py +24 -4
- data/LR.20071010.27305.fits +3 -0
- data/LR.20090219.53662.fits +3 -0
- data/LR.20100708.41739.fits +3 -0
- splits/tiny_test.jsonl +1 -0
- splits/tiny_train.jsonl +2 -0
GBI-16-2D.py
CHANGED
@@ -6,6 +6,8 @@ from huggingface_hub import hf_hub_download
|
|
6 |
|
7 |
|
8 |
from astropy.io import fits
|
|
|
|
|
9 |
import datasets
|
10 |
from datasets import DownloadManager
|
11 |
from fsspec.core import url_to_fs
|
@@ -69,6 +71,10 @@ class GBI_16_2D(datasets.GeneratorBasedBuilder):
|
|
69 |
"dec": datasets.Value("float64"),
|
70 |
"pixscale": datasets.Value("float64"),
|
71 |
"image_id": datasets.Value("string"),
|
|
|
|
|
|
|
|
|
72 |
}
|
73 |
),
|
74 |
supervised_keys=None,
|
@@ -108,6 +114,10 @@ class GBI_16_2D(datasets.GeneratorBasedBuilder):
|
|
108 |
"dec": item["dec"],
|
109 |
"pixscale": item["pixscale"],
|
110 |
"image_id": item["image_id"],
|
|
|
|
|
|
|
|
|
111 |
}
|
112 |
)
|
113 |
if locally_run:
|
@@ -151,7 +161,7 @@ class GBI_16_2D(datasets.GeneratorBasedBuilder):
|
|
151 |
with fits.open(filepath, memmap=False) as hdul:
|
152 |
# the first axis is length one, so we take the first element
|
153 |
# the second axis is the time axis and varies between images
|
154 |
-
image_data = hdul[
|
155 |
yield task_instance_key, {**{"image": image_data}, **item}
|
156 |
|
157 |
|
@@ -192,15 +202,25 @@ def make_split_jsonl_files(
|
|
192 |
print(file, flush=True, end="...")
|
193 |
with fits.open(file, memmap=False) as hdul:
|
194 |
image_id = os.path.basename(file).split(".fits")[0]
|
195 |
-
|
196 |
-
|
197 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
198 |
item = {
|
199 |
"image_id": image_id,
|
200 |
"image": file,
|
201 |
"ra": ra,
|
202 |
"dec": dec,
|
203 |
"pixscale": pixscale,
|
|
|
|
|
|
|
|
|
204 |
}
|
205 |
out_f.write(json.dumps(item) + "\n")
|
206 |
|
|
|
6 |
|
7 |
|
8 |
from astropy.io import fits
|
9 |
+
from astropy.coordinates import Angle
|
10 |
+
from astropy import units as u
|
11 |
import datasets
|
12 |
from datasets import DownloadManager
|
13 |
from fsspec.core import url_to_fs
|
|
|
71 |
"dec": datasets.Value("float64"),
|
72 |
"pixscale": datasets.Value("float64"),
|
73 |
"image_id": datasets.Value("string"),
|
74 |
+
"rotation_angle": datasets.Value("float64"),
|
75 |
+
"dim_1": datasets.Value("int64"),
|
76 |
+
"dim_2": datasets.Value("int64"),
|
77 |
+
"exposure_time": datasets.Value("float64"),
|
78 |
}
|
79 |
),
|
80 |
supervised_keys=None,
|
|
|
114 |
"dec": item["dec"],
|
115 |
"pixscale": item["pixscale"],
|
116 |
"image_id": item["image_id"],
|
117 |
+
"rotation_angle": item["rotation_angle"],
|
118 |
+
"dim_1": item["dim_1"],
|
119 |
+
"dim_2": item["dim_2"],
|
120 |
+
"exposure_time": item["exposure_time"],
|
121 |
}
|
122 |
)
|
123 |
if locally_run:
|
|
|
161 |
with fits.open(filepath, memmap=False) as hdul:
|
162 |
# the first axis is length one, so we take the first element
|
163 |
# the second axis is the time axis and varies between images
|
164 |
+
image_data = hdul[0].data[:, :].tolist()
|
165 |
yield task_instance_key, {**{"image": image_data}, **item}
|
166 |
|
167 |
|
|
|
202 |
print(file, flush=True, end="...")
|
203 |
with fits.open(file, memmap=False) as hdul:
|
204 |
image_id = os.path.basename(file).split(".fits")[0]
|
205 |
+
ras = hdul[0].header.get("RA", "0")
|
206 |
+
ra = float(Angle(f'{ras} hours').to_string(unit=u.degree, decimal=True))
|
207 |
+
decs = hdul[0].header.get("DEC", "0")
|
208 |
+
dec = float(Angle(f'{decs} degrees').to_string(unit=u.degree, decimal=True))
|
209 |
+
pixscale = hdul[0].header.get("CD1_2", 0.135)
|
210 |
+
rotation = hdul[0].header.get("ROTPOSN", 0.0)
|
211 |
+
dim_1 = hdul[0].header.get("NAXIS1", 0)
|
212 |
+
dim_2 = hdul[0].header.get("NAXIS2", 0)
|
213 |
+
exposure_time = hdul[0].header.get("TTIME", 0.0)
|
214 |
item = {
|
215 |
"image_id": image_id,
|
216 |
"image": file,
|
217 |
"ra": ra,
|
218 |
"dec": dec,
|
219 |
"pixscale": pixscale,
|
220 |
+
"rotation_angle": rotation,
|
221 |
+
"dim_1": dim_1,
|
222 |
+
"dim_2": dim_2,
|
223 |
+
"exposure_time": exposure_time,
|
224 |
}
|
225 |
out_f.write(json.dumps(item) + "\n")
|
226 |
|
data/LR.20071010.27305.fits
ADDED
Git LFS Details
|
data/LR.20090219.53662.fits
ADDED
Git LFS Details
|
data/LR.20100708.41739.fits
ADDED
Git LFS Details
|
splits/tiny_test.jsonl
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"image_id": "LR.20100708.41739", "image": "./data/LR.20100708.41739.fits", "ra": 264.942, "dec": 27.3245, "pixscale": 0.135, "rotation_angle": -89.9999583, "dim_1": 0, "dim_2": 0, "exposure_time": 270}
|
splits/tiny_train.jsonl
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
{"image_id": "LR.20090219.53662", "image": "./data/LR.20090219.53662.fits", "ra": 258.967, "dec": 55.3849, "pixscale": 0.135, "rotation_angle": 270.00076907, "dim_1": 2248, "dim_2": 2048, "exposure_time": 270}
|
2 |
+
{"image_id": "LR.20071010.27305", "image": "./data/LR.20071010.27305.fits", "ra": 288.061, "dec": -32.4109, "pixscale": 0.135, "rotation_angle": -89.99965647, "dim_1": 600, "dim_2": 400, "exposure_time": 30}
|