n5gest

CLI utilities for working with N5 files.

Written in Rust using the Rust N5 crate.

$ cargo install n5gest
$ n5gest -h
n5gest 0.3.4
Andrew Champion <andrew.champion@gmail.com>
Utilities for N5 files.

USAGE:
    n5gest [OPTIONS] <SUBCOMMAND>

FLAGS:
    -h, --help       Prints help information
    -V, --version    Prints version information

OPTIONS:
    -t, --threads <threads>    Number of threads for parallel processing. By default, the number of CPU
 cores is used.

SUBCOMMANDS:
    bench-read         Benchmark reading an entire dataset.
    cast               Cast an existing dataset into a new dataset with a given data type.
    crop-blocks        Crop wrongly sized blocks to match dataset dimensions at the end of a given axis.
    delete-uniform-blocks
                       Delete blocks uniformly filled with a given value, such as empty blocks.
    export             Export a sequence of image files from a series of z-sections.
    help               Prints this message or the help of the given subcommand(s)
    import             Import a sequence of image files as a series of z-sections into a 3D N5 dataset.
    import-tiff        Import a single file TIFF stack as a series of z-sections into a 3D N5 dataset
    ls                 List all datasets under an N5 root.
    map                Run simple math expressions mapping values to new datasets. For example, to clip
                       values in a dataset: `map example.n5 dataset_in example.n5 dataset_out "min(128, x)"`
                       Note that this converts back and forth to `f64` for the calculation.
    map-fold           Run simple math expressions as folds over blocks. For example, to find the
                       maximum value in a positive dataset: `map-fold example.n5 dataset 0 "max(acc, x)"`
    recompress         Recompress an existing dataset into a new dataset with a given compression.
    stat               Retrieve metadata about the number of blocks that exists and their timestamps.
    validate-blocks    Report malformed blocks.

License

Licensed under either of

• Apache License, Version 2.0, (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.