Datasets:
Zihao
commited on
Commit
·
383573d
1
Parent(s):
1baba94
update
Browse files
zhlds.py
CHANGED
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@@ -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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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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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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@@ -796,6 +858,9 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
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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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"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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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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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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-
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-
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-
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-
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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,
|
| 631 |
citation=_FGVC_AIRCRAFT_2013B_VARIANTS102_CITATION,
|
| 632 |
url=_BASE_URL,
|
| 633 |
+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
|
| 634 |
+
num_shots=-1, # 5, 20, 50
|
| 635 |
+
random_seed=-1, # 0, 1, 2
|
| 636 |
),
|
| 637 |
ELEVATERConfig(
|
| 638 |
name="food-101",
|
|
|
|
| 657 |
num_classes=101,
|
| 658 |
citation=_FOOD_101_CITATION,
|
| 659 |
url=_BASE_URL,
|
| 660 |
+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
|
| 661 |
+
num_shots=-1, # 5, 20, 50
|
| 662 |
+
random_seed=-1, # 0, 1, 2
|
| 663 |
),
|
| 664 |
ELEVATERConfig(
|
| 665 |
name="mnist",
|
|
|
|
| 684 |
num_classes=10,
|
| 685 |
citation=_MNIST_CITATION,
|
| 686 |
url=_BASE_URL,
|
| 687 |
+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
|
| 688 |
+
num_shots=-1, # 5, 20, 50
|
| 689 |
+
random_seed=-1, # 0, 1, 2
|
| 690 |
),
|
| 691 |
ELEVATERConfig(
|
| 692 |
name="oxford-flower-102",
|
|
|
|
| 715 |
num_classes=102,
|
| 716 |
citation=_OXFORD_FLOWER_102_CITATION,
|
| 717 |
url=_BASE_URL,
|
| 718 |
+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
|
| 719 |
+
num_shots=-1, # 5, 20, 50
|
| 720 |
+
random_seed=-1, # 0, 1, 2
|
| 721 |
),
|
| 722 |
ELEVATERConfig(
|
| 723 |
name="oxford-iiit-pets",
|
|
|
|
| 742 |
num_classes=37,
|
| 743 |
citation=_OXFORD_IIIT_PETS_CITATION,
|
| 744 |
url=_BASE_URL,
|
| 745 |
+
few_shots_file_path=_FEW_SHOTS_FILE_PATH,
|
| 746 |
+
num_shots=-1, # 5, 20, 50
|
| 747 |
+
random_seed=-1, # 0, 1, 2
|
| 748 |
),
|
| 749 |
ELEVATERConfig(
|
| 750 |
name="patch-camelyon",
|
|
|
|
| 773 |
num_classes=2,
|
| 774 |
citation=_PATCH_CAMELYON_CITATION,
|
| 775 |
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 |
+
}
|