Adding loading script
Browse filesSigned-off-by: Jiri Podivin <[email protected]>
- plantorgans.py +85 -0
plantorgans.py
ADDED
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import datasets
|
2 |
+
|
3 |
+
_DESCRIPTION = """Photos of various plants with their major, above ground organs labeled. Includes labels for stem, leafs, fruits and flowers."""
|
4 |
+
|
5 |
+
_HOMEPAGE = "https://huggingface.co/datasets/jpodivin/plantorgans"
|
6 |
+
|
7 |
+
_CITATION = """"""
|
8 |
+
|
9 |
+
_LICENSE = "MIT"
|
10 |
+
|
11 |
+
_NAMES = [
|
12 |
+
'Leaf',
|
13 |
+
'Stem',
|
14 |
+
'Flower',
|
15 |
+
'Fruit',
|
16 |
+
]
|
17 |
+
|
18 |
+
_BASE_URL = "https://huggingface.co/datasets/jpodivin/plantorgans/blob/main/sourcedata/"
|
19 |
+
|
20 |
+
_DOWNLOAD_SUFFIX = "download?true"
|
21 |
+
_METADATA_URLS = [
|
22 |
+
""
|
23 |
+
]
|
24 |
+
|
25 |
+
class PlantOrgans(datasets.GeneratorBasedBuilder):
|
26 |
+
"""Plantorgans dataset
|
27 |
+
"""
|
28 |
+
BUILDER_CONFIGS = [
|
29 |
+
PlantOrgansConfig(
|
30 |
+
name="semantic_segmentation",
|
31 |
+
description="This configuration contains segmentation masks."
|
32 |
+
),
|
33 |
+
]
|
34 |
+
|
35 |
+
def _info(self):
|
36 |
+
return datasets.DatasetInfo(
|
37 |
+
description=_DESCRIPTION,
|
38 |
+
features=datasets.Features(
|
39 |
+
{
|
40 |
+
"image": datasets.Image(),
|
41 |
+
"annotation": datasets.ClassLabel(names=_NAMES),
|
42 |
+
}
|
43 |
+
),
|
44 |
+
supervised_keys=("image", "annotation"),
|
45 |
+
homepage=_HOMEPAGE,
|
46 |
+
citation=_CITATION,
|
47 |
+
license=_LICENSE,
|
48 |
+
)
|
49 |
+
|
50 |
+
|
51 |
+
def _split_generators(self, dl_manager):
|
52 |
+
archive_path = dl_manager.download(_BASE_URL)
|
53 |
+
split_metadata_paths = dl_manager.download(_METADATA_URLS)
|
54 |
+
return [
|
55 |
+
datasets.SplitGenerator(
|
56 |
+
name=datasets.Split.TRAIN,
|
57 |
+
gen_kwargs={
|
58 |
+
"images": dl_manager.iter_archive(archive_path),
|
59 |
+
"metadata_path": split_metadata_paths["train"],
|
60 |
+
},
|
61 |
+
),
|
62 |
+
datasets.SplitGenerator(
|
63 |
+
name=datasets.Split.VALIDATION,
|
64 |
+
gen_kwargs={
|
65 |
+
"images": dl_manager.iter_archive(archive_path),
|
66 |
+
"metadata_path": split_metadata_paths["test"],
|
67 |
+
},
|
68 |
+
),
|
69 |
+
]
|
70 |
+
def _generate_examples(self, images, metadata_path):
|
71 |
+
...
|
72 |
+
|
73 |
+
class PlantOrgansConfig(datasets.BuilderConfig):
|
74 |
+
"""Builder Config for PlantOrgans"""
|
75 |
+
|
76 |
+
def __init__(self, data_url, metadata_urls, **kwargs):
|
77 |
+
"""BuilderConfig for PlantOrgans.
|
78 |
+
Args:
|
79 |
+
data_url: `string`, url to download the zip file from.
|
80 |
+
metadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
|
81 |
+
**kwargs: keyword arguments forwarded to super.
|
82 |
+
"""
|
83 |
+
super().__init__(version=datasets.Version("1.0.0"), **kwargs)
|
84 |
+
self.data_url = data_url
|
85 |
+
self.metadata_urls = metadata_urls
|