feat: Add splits to train val test
Browse files
Peter.py
CHANGED
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@@ -1,4 +1,5 @@
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import os
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import datasets
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@@ -13,24 +14,50 @@ class Peter(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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"images.zip"
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"image_paths": dl_manager.iter_files(data_files),
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},
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),
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]
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def _generate_examples(self, image_paths):
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"""Generate examples."""
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for idx, image_path in enumerate(image_paths):
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import os
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import json
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import datasets
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)
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def _split_generators(self, dl_manager):
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_URLS = {
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"images": "images.zip",
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"train_data": "annotations_train.json",
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"test_data": "annotations_test.json",
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"val_data": "annotations_val.json"
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}
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data_files = dl_manager.download_and_extract(_URLS)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"image_paths": dl_manager.iter_files(data_files["images"]),
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"annotation_path": data_files["train_data"],
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"image_paths": dl_manager.iter_files(data_files["images"]),
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"annotation_path": data_files["test_data"],
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"image_paths": dl_manager.iter_files(data_files["images"]),
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"annotation_path": data_files["val_data"],
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},
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)
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]
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def _generate_examples(self, image_paths, annotation_path):
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"""Generate examples."""
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with open(annotation_path, 'r') as f:
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data = json.load(f)
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image_names = set()
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for image_data in data['images']:
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image_names.add(image_data['file_name'])
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for idx, image_path in enumerate(image_paths):
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if os.path.basename(image_path) in image_names:
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example = {
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"image": image_path,
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}
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yield idx, example
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