Stuck on an issue?
Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.
And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.
Source GDAL large-image depend should be updated or freed
See original GitHub issueThis should either be updated to >=1.9 or freed altogether.
Because of
I have to set >=1.9 in the conda-forge recipe in https://github.com/conda-forge/large-image-source-gdal-feedstock/pull/5
Issue Analytics
- State:
- Created 2 years ago
- Comments:7 (4 by maintainers)
Top Results From Across the Web
GDAL — GDAL documentation
GDAL is a translator library for raster and vector geospatial data formats that is released under an MIT style Open Source License by...
Read more >Support pip binary wheel manylinux installations #3060 - GitHub
if one wants to build a python package (for pypi) on top of gdal - relying on conda is no option; conda is...
Read more >Blog Archive » Producing a Large Image from OpenAerialMap
GDAL has the ability to read images from a remote WMS server, and treat them as it does any other data source: which...
Read more >django-large-image - PyPI
Dynamic tile server in Django built on top of large-image (and GDAL) ... work with geospatial images so we will focus on the...
Read more >Reading large image using GDAL? - GIS Stack Exchange
To read an image using gdal as a numpy array you can use the following two lines: ds = gdal.Open('path_to_img', 0) arr =...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Probably removing that
>=1.0.0is the right thing to do. I don’t want to chase version specifications in the submodules.It wouldn’t… I don’t think there’s a clean way of automatically bumping the depend in the conda recipe