I'm in the process of merging my pure JAVA COG reader code into imageio-ext. Because I'm extending TIFFImageReader and reusing all of the existing TIFF codebase, is it preferred that I create a "cog" package under it.geosolutions.imageioimpl.plugins.tiff in the tiff plugin module, or should I create an entirely new cog plugin module?
On Mon, Sep 9, 2019 at 8:59 AM Josh Fix <j...@federal.planet.com> wrote: > Hey all, just wanted to share some progress. > > I created a project that is capable of asynchronously reading COG tiles. > It extends TIFFImageReader and overrides the read method to build a > collection of information for all tiles that need to be read, then > determines the byte ranges for groups of contiguous tiles. The tiles are > read using HTTP range requests and stored in-memory via an ImageInputStream > implementation that simply uses a MemoryCacheImageInputStream as a > delegate. Additionally, the project provides a caching image input stream > that uses ehcache to cache each tile. I would eventually like to expand > this to support various cloud platform backends (implementing the > RangeReader interface), but for now it's just HTTP. I can provide more > info/details if desired. The repository is available here: > > https://github.com/joshfix/cog-image-reader > > Additionally, I have a project that is basically copied from the > s3-geotiff project, but implements the Azure library to read from Azure > blob storage: > > https://github.com/joshfix/azure-geotiff > > And finally, a GDAL-based reader that accepts VFS paths. This project > cherry picks (and thus duplicates) a lot of code from a lot of places in > GeoTools and imageio-ext, so contributing this might be ugly. It works on > its own, but when used to build mosaics, there seem to be > nodata/transparency issues. It is available here: > > https://github.com/joshfix/gdal-vfs-reader > > Any feedback would be appreciated, and I'd be happy to contribute anything > that the community might be interested in. > > Josh > -- Josh Fix Systems Architect Planet Federal j...@federal.planet.com +1 321.444.0412
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