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.dev4.tar.gz (24.6 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-1.23.8.dev4-py3-none-any.whl (24.9 kB view details)

Uploaded Python 3

File details

Details for the file large-image-converter-1.23.8.dev4.tar.gz.

File metadata

File hashes

Hashes for large-image-converter-1.23.8.dev4.tar.gz
Algorithm Hash digest
SHA256 dde6988c31522b43f9000c5f81c00140e9bd38650a716bf64569f41965369afa
MD5 4f9ed1104399c7f4bde5726904fa0f69
BLAKE2b-256 f204abd72c0f18596f247d0b86e4412b4ea82a37e6f5229d012d3b789f39aa84

See more details on using hashes here.

File details

Details for the file large_image_converter-1.23.8.dev4-py3-none-any.whl.

File metadata

File hashes

Hashes for large_image_converter-1.23.8.dev4-py3-none-any.whl
Algorithm Hash digest
SHA256 b096cc5db19e6f7acca0c9edc6d17c6f090039f5465d5d874b0878d2e8c856b9
MD5 0bef52d38fbc69ea4d37083777ec57d9
BLAKE2b-256 88bd0a7c3d1418ee0013f97c7ee9b374ecad9f5fca6817e642fcba349cb951bb

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