openKylin lerc package

lerc 4.0.0-ok2 source package in openKylin

Changelog

lerc (4.0.0-ok2) yangtze; urgency=medium

  * Fix command 'install' has no such option 'install_layout'.

 -- sufang <email address hidden>  Tue, 21 Mar 2023 15:53:23 +0800

Upload details

Uploaded by:
sufang
Sponsored by:
Cibot
Uploaded to:
Yangtze V1.0
Original maintainer:
Openkylin Developers
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

Publishing See full publishing history

Series Pocket Published Component Section
Yangtze V1.0 release main libs
Yangtze V1.0 proposed main libs

Downloads

File Size SHA-256 Checksum
lerc_4.0.0.orig.tar.gz 14.6 MiB f4786236129138f56fb54d741f772536db6cca83c09a7677f9f49d3b7c13e584
lerc_4.0.0-ok2.debian.tar.xz 147.3 KiB e17b9264deef59daadc6d9009327eb78522ba78858f74897f098478a455cc1db
lerc_4.0.0-ok2.dsc 1.8 KiB 344cae3494eb592f142c807acd77b7984635a43f41e9a97594259cefaf39e37b

Available diffs

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Binary packages built by this source

liblerc-dev: Limited Error Raster Compression library (Development files)

 LERC is an open-source image or raster format which
 supports rapid encoding and decoding for any pixel
 type (not just RGB or Byte). Users set the maximum
 compression error per pixel while encoding, so the
 precision of the original input image is preserved
 (within user defined error bounds).
 .
 This is a development package of LERC.

liblerc4: Limited Error Raster Compression library

 LERC is an open-source image or raster format which
 supports rapid encoding and decoding for any pixel
 type (not just RGB or Byte). Users set the maximum
 compression error per pixel while encoding, so the
 precision of the original input image is preserved
 (within user defined error bounds).

liblerc4-dbgsym: debug symbols for liblerc4
python3-lerc: Python 3 bindings to the Limited Error Raster Compression library

 LERC is an open-source image or raster format which
 supports rapid encoding and decoding for any pixel
 type (not just RGB or Byte). Users set the maximum
 compression error per pixel while encoding, so the
 precision of the original input image is preserved
 (within user defined error bounds).
 .
 This is a Python package of LERC.