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-1.35.0.tar.gz (26.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

large_image_converter-1.35.0-py3-none-any.whl (26.4 kB view details)

Uploaded Python 3

File details

Details for the file large_image_converter-1.35.0.tar.gz.

File metadata

  • Download URL: large_image_converter-1.35.0.tar.gz
  • Upload date:
  • Size: 26.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for large_image_converter-1.35.0.tar.gz
Algorithm Hash digest
SHA256 7a92adcfc83e1bea58cc323c058598b6974e13da412a4fbf9856448b75ba9452
MD5 b05853cdafd7352e4204eefe908cb326
BLAKE2b-256 295154ac77c264b6c5829e29fefe4ab44e9514b35df2dce2a4cbb4b3f1c90f84

See more details on using hashes here.

File details

Details for the file large_image_converter-1.35.0-py3-none-any.whl.

File metadata

File hashes

Hashes for large_image_converter-1.35.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3d0e7daca692de54c4b776b81a3d026d69aa7917dff4c84b65b50bfbe7ff90da
MD5 b670479a928160c61495e6f31f153f30
BLAKE2b-256 f3218f03ec098ee7143f8d576f052505c24fa6b470f61841ca6a5da9f6bbe3de

See more details on using hashes here.

Supported by

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