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import csv |
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import json |
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import os |
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from typing import List |
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import datasets |
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import logging |
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_CITATION = """\ |
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@InProceedings{huggingface:dataset, |
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title = {A great new dataset}, |
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author={huggingface, Inc. |
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}, |
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year={2020} |
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} |
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""" |
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_DESCRIPTION = """\ |
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This dataset contains traffic images from traffic signal cameras of singapore. The images are captured at 1.5 minute interval from 6 pm to 7 pm everyday for the month of January 2024. |
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""" |
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_HOMEPAGE = "https://beta.data.gov.sg/collections/354/view" |
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_LICENSE = "" |
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_URL = "https://github.com/Sayali-pingle/HuggingFace--Traffic-Image-Dataset/blob/main/camera_data.csv" |
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_URLS = { |
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"train": _URL + "train-v1.1.json", |
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"dev": _URL + "dev-v1.1.json", |
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} |
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class TrafficImages(datasets.GeneratorBasedBuilder): |
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"""TODO: Short description of my dataset.""" |
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_URLS = _URLS |
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VERSION = datasets.Version("1.1.0") |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"timestamp": datasets.Value("string"), |
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"camera_id": datasets.Value("string"), |
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"latitude": datasets.Value("float"), |
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"longitude": datasets.Value("float"), |
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"image_url": datasets.Value("string"), |
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"image_metadata": datasets.Value("string") |
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} |
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), |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
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urls_to_download = self._URLS |
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downloaded_files = dl_manager.download_and_extract(urls_to_download) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), |
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}), |
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] |
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def _generate_examples(self, file_path): |
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start_date = datetime(2024, 1, 1, 18, 0, 0) |
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end_date = datetime(2024, 1, 31, 19, 0, 0) |
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interval_seconds = 240 |
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date_time_strings = [ |
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(current_date + timedelta(seconds=seconds)).strftime('%Y-%m-%dT%H:%M:%S+08:00') |
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for current_date in pd.date_range(start=start_date, end=end_date, freq='D') |
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for seconds in range(0, 3600, interval_seconds) |
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] |
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url = 'https://api.data.gov.sg/v1/transport/traffic-images' |
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camera_data = [] |
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for date_time in date_time_strings: |
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params = {'date_time': date_time} |
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response = requests.get(url, params=params) |
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if response.status_code == 200: |
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data = response.json() |
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camera_data.extend([ |
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{ |
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'timestamp': item['timestamp'], |
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'camera_id': camera['camera_id'], |
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'latitude': camera['location']['latitude'], |
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'longitude': camera['location']['longitude'], |
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'image_url': camera['image'], |
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'image_metadata': camera['image_metadata'] |
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} |
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for item in data['items'] |
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for camera in item['cameras'] |
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]) |
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else: |
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print(f"Error: {response.status_code}") |
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for idx, example in enumerate(camera_data): |
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yield idx, { |
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"timestamp": example["timestamp"], |
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"camera_id": example["camera_id"], |
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"latitude": example["latitude"], |
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"longitude": example["longitude"], |
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"image_url": example["image_url"], |
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"image_metadata": example["image_metadata"] |
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} |
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