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| """OpenFire dataset.""" |
|
|
| import os |
| import json |
|
|
| import datasets |
|
|
|
|
| _HOMEPAGE = "https://pyronear.org/pyro-vision/datasets.html#openfire" |
|
|
| _LICENSE = "Apache License 2.0" |
|
|
| _CITATION = """\ |
| @software{Pyronear_PyroVision_2019, |
| title={Pyrovision: wildfire early detection}, |
| author={Pyronear contributors}, |
| year={2019}, |
| month={October}, |
| publisher = {GitHub}, |
| url = {https://github.com/pyronear/pyro-vision} |
| } |
| """ |
|
|
| _DESCRIPTION = """\ |
| OpenFire is an image classification dataset for wildfire detection, collected |
| from web searches. |
| """ |
|
|
|
|
| _REPO = "https://huggingface.co/datasets/pyronear/openfire/resolve/main/data" |
| _URLS = { |
| "train": f"{_REPO}/openfire_train.json", |
| "validation": f"{_REPO}/openfire_val.json", |
| } |
|
|
|
|
| class OpenFire(datasets.GeneratorBasedBuilder): |
| """OpenFire dataset.""" |
|
|
| VERSION = datasets.Version("1.0.0") |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "image_url": datasets.Value("string", id=None), |
| "is_wildfire": datasets.Value("bool"), |
| } |
| ), |
| supervised_keys=None, |
| homepage=_HOMEPAGE, |
| license=_LICENSE, |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| data_dir = dl_manager.download_and_extract(_URLS) |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={ |
| "filepath": data_dir["train"], |
| "split": "train", |
| }, |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.VALIDATION, |
| gen_kwargs={ |
| "filepath": data_dir["validation"], |
| "split": "validation", |
| }, |
| ), |
| ] |
|
|
| def _generate_examples(self, filepath, split): |
| with open(filepath, "rb") as f: |
| urls = json.load(f) |
| idx = 0 |
| for label in range(2): |
| for url in urls[str(label)]: |
| yield idx, {"image_url": url, "is_wildfire": bool(label)} |
| idx += 1 |
|
|
