使用 Homebrew 安装 grokj2k

项目链接

• 主页

命令和别名

• grk_compress
• grk_decompress
• grk_dump
• grk_transcode

项目历史

The Grok repository describes the project as an AGPL-licensed JPEG 2000 codec. Its command-line tools include compression, decompression, dumping, and packet-level transcoding utilities for JP2 and J2K workflows.

The project presents itself as a high-performance codec with support for High Throughput JPEG 2000, random-access decoding markers, cloud/S3-oriented I/O, metadata handling, broad pixel-format support, and bindings for several languages.

采用历史

Grok's packaging history is tied to specialist image, geospatial, preservation, and scientific workflows where JPEG 2000 remains useful. The upstream README specifically notes integration into GDAL, making the package relevant to users who need JPEG 2000 support through geospatial tooling.

使用方式

Package users typically reach it through utilities such as `grk_compress`, `grk_decompress`, `grk_dump`, and `grk_transcode`. The transcoder can rewrite JPEG 2000 files at packet level for operations such as adding TLM and PLT markers without a full decode/re-encode cycle.

为什么软件包爱好者会关心

For package nerds, grokj2k sits in the same small but important corner as OpenJPEG, Kakadu, JasPer, and image-library delegates: it is not a daily shell toy, but it determines whether image stacks can process JP2/J2K data reproducibly from system packages.

时间线

• 2016: The GitHub repository was created.
• 2020s: The project emphasized high-performance JPEG 2000, HTJ2K, transcoding, cloud I/O, and fuzz testing.
• 2020s: Homebrew packaged the command-line tools as `grokj2k`.

Related projects

• Related projects include OpenJPEG, Kakadu, JasPer, GDAL's JP2 drivers, image servers that consume JPEG 2000, and preservation workflows that use JP2/J2K assets.

来源

• https://api.github.com/repos/GrokImageCompression/grok
• https://api.github.com/repos/GrokImageCompression/grok/releases
• https://gdal.org/en/stable/drivers/raster/jp2grok.html
• https://github.com/GrokImageCompression/grok
• https://github.com/GrokImageCompression/grok#readme