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Unanswered
Hi I Am Creating A Custom Image Dataset And Does Anyone Know How To Upload Files Into Remote Uri (S3) Without Compressing The Data?


I think based on the src file dataset.py the compression False is not possible

def upload(
        self,
        show_progress=True,
        verbose=False,
        output_url=None,
        compression=None,
        chunk_size=None,
        max_workers=None,
        retries=3,
    ):
        # type: (bool, bool, Optional[str], Optional[str], int, Optional[int], int) -> ()
        """
        Start file uploading, the function returns when all files are uploaded.

        :param show_progress: If True, show upload progress bar
        :param verbose: If True, print verbose progress report
        :param output_url: Target storage for the compressed dataset (default: file server)
            Examples: `
`, `
` , `
` , `/mnt/share/data`
        :param compression: Compression algorithm for the Zipped dataset file (default: ZIP_DEFLATED)
        :param chunk_size: Artifact chunk size (MB) for the compressed dataset,
            if not provided (None) use the default chunk size (512mb).
            If -1 is provided, use a single zip artifact for the entire dataset change-set (old behaviour)
        :param max_workers: Numbers of threads to be spawned when zipping and uploading the files.
            If None (default) it will be set to:

          - 1: if the upload destination is a cloud provider ('s3', 'gs', 'azure')
          - number of logical cores: otherwise
        :param int retries: Number of retries before failing to upload each zip. If 0, the upload is not retried.

        :raise: If the upload failed (i.e. at least one zip failed to upload), raise a `ValueError`
        """
  
  
Posted 7 months ago
98 Views
0 Answers
7 months ago
7 months ago