Skip to main content

Converter for Large Image.

Project description

Convert a variety of images into the most efficient format for Large Image.

Geospatial files are converted into cloud-optimized geotiff via gdal_translate. Single-image non-geospatial files are converted into pyramidal tiff files via pyvips. Multi-image tiff files are converted into tiff files with multiple pyramidal tiff images and have a custom image description to store frame details.

Some files can be read via the various tile sources in large_image without conversion but are inefficient (for example, uncompressed data in nd2 files). Converting these files will result in more efficient data access.

Installation

To install via pip with custom-built wheels:

pip install large-image-converter[sources] --find-links https://girder.github.io/large_image_wheels

The [sources] extra requirement is optional. When specified, all of the default large-image tile sources are installed for additional metadata extraction and format support.

Requirements

If the custom-built wheels do not cover your platform, or you want to use different versions of tools, you can install the prerequisites manually. For full functionality, the following packages and libraries are needed:

  • GDAL 3.1.0 or greater, including the command-line tools and the python library

  • libtiff, including the command-line tools

  • libvips

Additionally, the various tile sources for large_image can be used to read input files to extract and preserve metadata and to read files that can’t be read via libvips or GDAL. The requirements of those sources need to be installed.

Usage

Command Line

In the simplest use, an image can be converted via:

large_image_converter <source path>

An output image will be generated in the same directory as the source image.

The full list of options can be obtained via:

large_image_converter --help

From Python

The convert function contains all of the main functionality:

from large_image_converter import convert

convert(<source path>)

# See the options
print(convert.__doc__)

From Girder

The converter is installed by default when girder-large-image is installed. It relies on Girder Worker to actually run the conversion.

The conversion task can be reached via the user interface on the item details pages, via the createImageItem method on the ImageItem model, or via the POST item/{itemId}/tiles endpoint.

Limitations and Future Development

There are some limitations that may be improved with additional development.

  • For some multi-image files, such as OME Tiff files that cannot be read by an existing large_image tile source, the specific channel, z-value, or time step is not converted to readily usable metadata.

  • Whether the original file is stored in a lossy or lossless format is not always determined. If unknown, the output defaults to lossless, which may be needlessly large.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

large-image-converter-1.23.8.dev6.tar.gz (24.6 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file large-image-converter-1.23.8.dev6.tar.gz.

File metadata

File hashes

Hashes for large-image-converter-1.23.8.dev6.tar.gz
Algorithm Hash digest
SHA256 2bf93bdd6ea00364beaf02b9b380694d702a77341686aea3bcd20e7a14291fc3
MD5 af7839e1a602cd0eaa843fb1c5f45a9a
BLAKE2b-256 27c995e52e0f926c2a0b454af2e48aabb250399ff24f929a675b0b121a8aa4a3

See more details on using hashes here.

Provenance

File details

Details for the file large_image_converter-1.23.8.dev6-py3-none-any.whl.

File metadata

File hashes

Hashes for large_image_converter-1.23.8.dev6-py3-none-any.whl
Algorithm Hash digest
SHA256 69a6a5189a36a0d9bcd776237995e896e5b4b5e162c6952ddb950038c83397f6
MD5 131274096e25029aa693d67a2e44697a
BLAKE2b-256 be6879d95aa4717041b77a7651d9b3a51610f25d8a440b3ce930558547a5bf2a

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page