zensvi.download.gs.GSDownloader
===============================

.. py:class:: zensvi.download.gs.GSDownloader(log_path=None)

   Bases: :py:obj:`zensvi.download.base.BaseDownloader`


   Global Streetscapes class to download the original NUS Global Streetscapes
   dataset.

   To download the models used in the dataset, please see
   `cv/classification/utils/global_streetscapes.py`


   .. py:method:: download_svi()

      Required abstract methods from parent class.



   .. py:property:: repo_id

      Property for Huggingface download.

      :return: repo_id
      :rtype: str


   .. py:property:: repo_type

      Property for Huggingface download.

      :return: repo_type
      :rtype: str


   .. py:method:: download_all_data(local_dir='data/')

      Download all folders and files, recursively, from `data/` This folder
      contains all metadata (csv) for all images of the Global Streetscapes dataset.

      :param local_dir: Local folder to download the data
      :type local_dir: str



   .. py:method:: download_manual_labels(local_dir='manual_labels/')

      Download all folders and files, recursively, from `manual_labels/` This
      folder contains all the manual labels (csv) for train and test images as well as
      the raw images compressed in in tar.gz.

      :param local_dir: Local folder to download the data
      :type local_dir: str



   .. py:method:: download_train(local_dir='manual_labels/train/')

      Download all folders and files, recursively, from `manual_labels/train/` This
      folder contains all the manual labels (csv) for only the train images.

      :param local_dir: Local folder to download the data
      :type local_dir: str



   .. py:method:: download_test(local_dir='manual_labels/test/')

      Download all folders and files, recursively, from `manual_labels/test/` This
      folder contains all the manual labels (csv) for only the test images.

      :param local_dir: Local folder to download the data
      :type local_dir: str



   .. py:method:: download_img_tar(local_dir='manual_labels/img/')

      Download all folders and files, recursively, from `manual_labels/img/` This
      folder contains all the raw images, compressed in tar.gz.

      :param local_dir: Local folder to download the data
      :type local_dir: str



   .. py:property:: log_path

      Property for log_path.

      :returns: Path to the log file
      :rtype: str