Datasets:
Sub-tasks:
multi-class-image-classification
Languages:
English
Size Categories:
10M<n<100M
Source Datasets:
original
License:
Zihao
commited on
Commit
•
383573d
1
Parent(s):
1baba94
update
Browse files
zhlds.py
CHANGED
@@ -27,6 +27,7 @@ from PIL import Image
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_VERSION = "1.0.0"
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_BASE_URL = "https://cvinthewildeus.blob.core.windows.net/datasets/"
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_ELEVATER_CITATION = """\
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@article{li2022elevater,
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@@ -236,7 +237,8 @@ class ELEVATERConfig(datasets.BuilderConfig):
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"""BuilderConfig for ELEVATER."""
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def __init__(self, name, description, contact, version, type_, format_,
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root_folder, labelmap, num_classes, train, val, test,
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"""BuilderConfig for ELEVATER.
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Args:
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features: `list[string]`, list of the features that will appear in the
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@@ -262,8 +264,11 @@ class ELEVATERConfig(datasets.BuilderConfig):
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self.train = train
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self.val = val
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self.test = test
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self.citation = citation
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self.url = url
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class ELEVATER(datasets.GeneratorBasedBuilder):
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@@ -292,6 +297,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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},
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citation=_CIFAR_10_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="voc-2007-classification",
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@@ -320,6 +328,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=20,
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citation=_VOC_2007_CLASSIFICATION_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="gtsrb",
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@@ -348,6 +359,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=43,
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citation=_GTSRB_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="country211",
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@@ -376,6 +390,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=211,
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citation=_COUNTRY211_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="rendered-sst2",
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@@ -404,6 +421,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=2,
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citation=_RENDERED_SST2_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="kitti-distance",
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@@ -432,6 +452,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=4,
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citation=_KITTI_DISTANCE_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="eurosat_clip",
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@@ -460,6 +483,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=10,
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citation=_EOROSAT_CLIP_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="resisc45_clip",
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@@ -488,6 +514,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=45,
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citation=_RESISC45_CLIP_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="caltech-101",
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@@ -512,6 +541,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=45,
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citation=_CALTECH_101_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="cifar-100",
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@@ -536,6 +568,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=100,
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citation=_CIFAR_100_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="dtd",
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@@ -564,6 +599,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=47,
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citation=_DTD_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="fgvc-aircraft-2013b-variants102",
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@@ -592,6 +630,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=100,
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citation=_FGVC_AIRCRAFT_2013B_VARIANTS102_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="food-101",
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@@ -616,6 +657,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=101,
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citation=_FOOD_101_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="mnist",
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@@ -640,6 +684,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=10,
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citation=_MNIST_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="oxford-flower-102",
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@@ -668,6 +715,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=102,
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citation=_OXFORD_FLOWER_102_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="oxford-iiit-pets",
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@@ -692,6 +742,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=37,
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citation=_OXFORD_IIIT_PETS_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="patch-camelyon",
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@@ -720,6 +773,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=2,
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citation=_PATCH_CAMELYON_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="stanford-cars",
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num_classes=196,
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citation=_STANFORD_CARS_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="fer-2013",
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@@ -772,6 +831,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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num_classes=7,
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citation=_FER_2013_CITATION,
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url=_BASE_URL,
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),
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ELEVATERConfig(
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name="hateful-memes",
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num_classes=2,
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citation=_HATEFUL_MEMES_CITATION,
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url=_BASE_URL,
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),
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]
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@@ -834,13 +899,26 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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"index": os.path.join(_URL, self.config.test['index_path']),
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}
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}
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if self.config.
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-
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-
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-
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-
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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SplitGenerator_list = [
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datasets.SplitGenerator(
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gen_kwargs={
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"images": downloaded_files["train"]["images"],
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"index": downloaded_files["train"]["index"],
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"split": datasets.Split.TRAIN,
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},
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),
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gen_kwargs={
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"images": downloaded_files["test"]["images"],
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"index": downloaded_files["test"]["index"],
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"split": datasets.Split.TEST,
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},
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)]
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if self.config.val is not None:
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-
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-
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-
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return SplitGenerator_list
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def _generate_examples(self, images, index, split):
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if self.config.name in ["kitti-distance", "resisc45_clip", "hateful-memes"]:
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with open(index, encoding="utf-8") as f:
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data = json.load(f)
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for i in range(len(data['images'])):
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label = data['annotations'][i]['category_id']
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-
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-
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-
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-
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-
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-
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else:
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with open(index, "r") as f:
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if len(line_split) > 3:
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image_path_temp = " ".join(line_split[:-1])
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-
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else:
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-
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if self.config.type == "classification_multilabel":
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label = [int(x) for x in line_split[-1].split(',')]
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else:
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except:
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if self.config.name == "eurosat_clip" and split == 'test':
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label = 9
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_VERSION = "1.0.0"
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_BASE_URL = "https://cvinthewildeus.blob.core.windows.net/datasets/"
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_FEW_SHOTS_FILE_PATH="subidx/id_label/data_train_#shot/"
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_ELEVATER_CITATION = """\
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@article{li2022elevater,
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"""BuilderConfig for ELEVATER."""
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def __init__(self, name, description, contact, version, type_, format_,
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root_folder, labelmap, num_classes, train, val, test, few_shots_file_path,
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citation, url, num_shots, random_seed, **kwargs):
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"""BuilderConfig for ELEVATER.
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Args:
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features: `list[string]`, list of the features that will appear in the
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self.train = train
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self.val = val
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self.test = test
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self.few_shots_file_path = few_shots_file_path
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self.citation = citation
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self.url = url
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self.num_shots = num_shots
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self.random_seed = random_seed
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class ELEVATER(datasets.GeneratorBasedBuilder):
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},
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citation=_CIFAR_10_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="voc-2007-classification",
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num_classes=20,
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citation=_VOC_2007_CLASSIFICATION_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="gtsrb",
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num_classes=43,
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citation=_GTSRB_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="country211",
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num_classes=211,
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citation=_COUNTRY211_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="rendered-sst2",
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num_classes=2,
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citation=_RENDERED_SST2_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="kitti-distance",
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num_classes=4,
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citation=_KITTI_DISTANCE_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="eurosat_clip",
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num_classes=10,
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citation=_EOROSAT_CLIP_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="resisc45_clip",
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num_classes=45,
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citation=_RESISC45_CLIP_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="caltech-101",
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num_classes=45,
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citation=_CALTECH_101_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="cifar-100",
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num_classes=100,
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citation=_CIFAR_100_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="dtd",
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num_classes=47,
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citation=_DTD_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="fgvc-aircraft-2013b-variants102",
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num_classes=100,
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citation=_FGVC_AIRCRAFT_2013B_VARIANTS102_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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+
num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="food-101",
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num_classes=101,
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citation=_FOOD_101_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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+
num_shots=-1, # 5, 20, 50
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+
random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="mnist",
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num_classes=10,
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citation=_MNIST_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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+
num_shots=-1, # 5, 20, 50
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+
random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="oxford-flower-102",
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num_classes=102,
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citation=_OXFORD_FLOWER_102_CITATION,
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url=_BASE_URL,
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few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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+
num_shots=-1, # 5, 20, 50
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+
random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="oxford-iiit-pets",
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num_classes=37,
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citation=_OXFORD_IIIT_PETS_CITATION,
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url=_BASE_URL,
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+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
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+
num_shots=-1, # 5, 20, 50
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random_seed=-1, # 0, 1, 2
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),
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ELEVATERConfig(
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name="patch-camelyon",
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num_classes=2,
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citation=_PATCH_CAMELYON_CITATION,
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url=_BASE_URL,
|
776 |
+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
|
777 |
+
num_shots=-1, # 5, 20, 50
|
778 |
+
random_seed=-1, # 0, 1, 2
|
779 |
),
|
780 |
ELEVATERConfig(
|
781 |
name="stanford-cars",
|
800 |
num_classes=196,
|
801 |
citation=_STANFORD_CARS_CITATION,
|
802 |
url=_BASE_URL,
|
803 |
+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
|
804 |
+
num_shots=-1, # 5, 20, 50
|
805 |
+
random_seed=-1, # 0, 1, 2
|
806 |
),
|
807 |
ELEVATERConfig(
|
808 |
name="fer-2013",
|
831 |
num_classes=7,
|
832 |
citation=_FER_2013_CITATION,
|
833 |
url=_BASE_URL,
|
834 |
+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
|
835 |
+
num_shots=-1, # 5, 20, 50
|
836 |
+
random_seed=-1, # 0, 1, 2
|
837 |
),
|
838 |
ELEVATERConfig(
|
839 |
name="hateful-memes",
|
858 |
num_classes=2,
|
859 |
citation=_HATEFUL_MEMES_CITATION,
|
860 |
url=_BASE_URL,
|
861 |
+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
|
862 |
+
num_shots=-1, # 5, 20, 50
|
863 |
+
random_seed=-1, # 0, 1, 2
|
864 |
),
|
865 |
]
|
866 |
|
899 |
"index": os.path.join(_URL, self.config.test['index_path']),
|
900 |
}
|
901 |
}
|
902 |
+
if self.config.num_shots in [5, 20, 50]:
|
903 |
+
assert self.config.random_seed in [0, 1, 2]
|
904 |
+
few_shots_file_path_temp = _FEW_SHOTS_FILE_PATH.replace('#', str(self.config.num_shots))
|
905 |
+
file_name = 'shot' + str(self.config.num_shots) + '_seed' + str(self.config.random_seed) + '.json'
|
906 |
+
few_shot_path = os.path.join(_BASE_URL, few_shots_file_path_temp, self.config.name, file_name)
|
907 |
+
urls_to_download["train"]["few_shot"] = few_shot_path
|
908 |
+
else:
|
909 |
+
pass
|
910 |
+
|
911 |
+
# if self.config.val is not None:
|
912 |
+
# urls_to_download['val'] = {
|
913 |
+
# "images": os.path.join(_URL, self.config.val['files_for_local_usage'][0]),
|
914 |
+
# "index": os.path.join(_URL, self.config.val['index_path']),
|
915 |
+
# }
|
916 |
|
917 |
downloaded_files = dl_manager.download_and_extract(urls_to_download)
|
918 |
+
try:
|
919 |
+
few_shot_train_file = downloaded_files["train"]["few_shot"]
|
920 |
+
except:
|
921 |
+
few_shot_train_file = None
|
922 |
|
923 |
SplitGenerator_list = [
|
924 |
datasets.SplitGenerator(
|
926 |
gen_kwargs={
|
927 |
"images": downloaded_files["train"]["images"],
|
928 |
"index": downloaded_files["train"]["index"],
|
929 |
+
"few_shot": few_shot_train_file,
|
930 |
"split": datasets.Split.TRAIN,
|
931 |
},
|
932 |
),
|
935 |
gen_kwargs={
|
936 |
"images": downloaded_files["test"]["images"],
|
937 |
"index": downloaded_files["test"]["index"],
|
938 |
+
"few_shot": None,
|
939 |
"split": datasets.Split.TEST,
|
940 |
},
|
941 |
)]
|
942 |
|
943 |
+
# if self.config.val is not None:
|
944 |
+
# SplitGenerator_list.append(datasets.SplitGenerator(
|
945 |
+
# name=datasets.Split.VALIDATION,
|
946 |
+
# gen_kwargs={
|
947 |
+
# "images": downloaded_files["val"]["images"],
|
948 |
+
# "index": downloaded_files["val"]["index"],
|
949 |
+
# "split": datasets.Split.VALIDATION,
|
950 |
+
# },
|
951 |
+
# ))
|
952 |
|
953 |
return SplitGenerator_list
|
954 |
|
955 |
+
def _generate_examples(self, images, index, few_shot, split):
|
956 |
+
|
957 |
+
if few_shot is not None:
|
958 |
+
few_shot_images = []
|
959 |
+
with open(few_shot, encoding="utf-8") as f:
|
960 |
+
data = json.load(f)
|
961 |
+
for item in data:
|
962 |
+
few_shot_images.append(item['id'].split('@')[-1])
|
963 |
|
964 |
if self.config.name in ["kitti-distance", "resisc45_clip", "hateful-memes"]:
|
965 |
with open(index, encoding="utf-8") as f:
|
966 |
data = json.load(f)
|
967 |
for i in range(len(data['images'])):
|
968 |
label = data['annotations'][i]['category_id']
|
969 |
+
path_temp = data['images'][i]['file_name'].split('@')[1]
|
970 |
+
path = os.path.join(images, path_temp)
|
971 |
+
|
972 |
+
if few_shot is not None:
|
973 |
+
if path_temp in few_shot_images:
|
974 |
+
yield i, {
|
975 |
+
"image_file_path": path,
|
976 |
+
"image": path,
|
977 |
+
"labels": label,
|
978 |
+
}
|
979 |
+
else:
|
980 |
+
yield i, {
|
981 |
+
"image_file_path": path,
|
982 |
+
"image": path,
|
983 |
+
"labels": label,
|
984 |
+
}
|
985 |
|
986 |
else:
|
987 |
with open(index, "r") as f:
|
991 |
|
992 |
if len(line_split) > 3:
|
993 |
image_path_temp = " ".join(line_split[:-1])
|
994 |
+
path_temp = image_path_temp.split('@')[1]
|
995 |
else:
|
996 |
+
path_temp = line_split[0].split('@')[1]
|
997 |
|
998 |
+
path = os.path.join(images, path_temp)
|
999 |
+
|
1000 |
if self.config.type == "classification_multilabel":
|
1001 |
label = [int(x) for x in line_split[-1].split(',')]
|
1002 |
else:
|
1005 |
except:
|
1006 |
if self.config.name == "eurosat_clip" and split == 'test':
|
1007 |
label = 9
|
1008 |
+
if few_shot is not None:
|
1009 |
+
if path_temp in few_shot_images:
|
1010 |
+
yield i, {
|
1011 |
+
"image_file_path": path,
|
1012 |
+
"image": path,
|
1013 |
+
"labels": label,
|
1014 |
+
}
|
1015 |
+
else:
|
1016 |
+
pass
|
1017 |
+
else:
|
1018 |
+
yield i, {
|
1019 |
+
"image_file_path": path,
|
1020 |
+
"image": path,
|
1021 |
+
"labels": label,
|
1022 |
+
}
|