kealib | KEALib provides an implementation of the GDAL data model | Computer Vision library

by ubarsc C++ Version: kealib-1.4.14 License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | kealib Summary

kealib is a C++ library typically used in Artificial Intelligence, Computer Vision applications. kealib has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

KEALib provides an implementation of the GDAL data model. The format supports raster attribute tables, image pyramids, meta-data and in-built statistics while also handling very large files and compression throughout. Based on the HDF5 standard, it also provides a base from which other formats can be derived and is a good choice for long term data archiving. An independent software library (libkea) provides complete access to the KEA image format and a GDAL driver allowing KEA images to be used from any GDAL supported software.

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Quality

Security

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Support

kealib has a low active ecosystem.

It has 4 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 7 have been closed. On average issues are closed in 21 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of kealib is kealib-1.4.14

Quality

kealib has 0 bugs and 0 code smells.

Security

kealib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kealib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

kealib is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

kealib releases are available to install and integrate.

Installation instructions are available. Examples and code snippets are not available.

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kealib Key Features

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kealib Examples and Code Snippets

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Community Discussions

Trending Discussions on kealib

Getting TypeError: argument of type 'CRS' is not iterable with OSMnx Package

seaborn pairplot not working for single graph

Import rasterio failed. Reason: image not found

Why does geopandas throw an assertion error, when the conditions seems to be met?

QUESTION

Getting TypeError: argument of type 'CRS' is not iterable with OSMnx Package

Asked 2021-May-13 at 04:04

This question appears to have been answered before, but none of the answers helped in my case. First I should say that I've followed the OSMnx Installation steps exactly. Then tried to run the following code in a Jupyter Notebook:

...

ANSWER

Answered 2021-May-13 at 04:04

You have installed an extremely old version of OSMnx. Your conda list output shows you have version 0.7.3 installed, and that was released 3 or 4 years ago. It's so old that it's incompatible with the modern features of GeoPandas and pyproj, including the modern CRS object that's causing your error. I'm not clear how you did it! My best guess is you installed using one of the old tags on this page, which do point to version 0.7.3.

This should be fixed by removing the old environment and then following the installation instructions here, like:

Source https://stackoverflow.com/questions/67510332

QUESTION

seaborn pairplot not working for single graph

Asked 2020-Oct-01 at 17:19

I get this weird behavior where seaborn will plot diffrent graphs as expected but fails to show data in a single graph.

I am using anaconda3 and Visual Studio (same problem in jupyter).

seaborn is v0.11.0
matplotlib is v3.3.1
anaconda3 is v1.9.12
python is v3.8.3
MSC is v.1916 64 bit

...

ANSWER

Answered 2020-Oct-01 at 17:19

I think there is a bug in either matplotlib 3.3.1 or in seaborn 0.11.0. I checked with the given environment and giving a blank graph with sns.pairplot(x_vars=["tip"], y_vars=["size"],data=tips).

Solution: Change your matplotlib version to 3.2.1 and seaborn version to 0.10.1. It worked for me with given versions.

If you are using yml file to create conda environment, use following content in .yml file.

Source https://stackoverflow.com/questions/64159638

QUESTION

Import rasterio failed. Reason: image not found

Asked 2020-Sep-22 at 05:37

I'm going to use rasterio in python. I downloaded rasterio via

...

ANSWER

Answered 2020-Sep-22 at 05:37

I've got some experience with rasterio, but I am not nearly a master with it. If I remember correctly, rasterio requires you to have installed the program GDAL(both binaries and python utilities), and some other dependencies listed on the PyPi page. I don't use conda at the moment, I like to use the regular python 3.8 installer with pip. Given what I'm seeing with your installation, I would uninstall rasterio and follow a different installation procedure.

I follow the instructions listed here: https://rasterio.readthedocs.io/en/latest/installation.html
This page also has separate instructions for those using Anaconda.

The GDAL installation is by far the most annoying but once it's done, the hard part is over. The python utilities for both rasterio and gdal can be found here:
https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
The second link is also provided on the PyPi page but I like to keep it bookmarked because there's a lot of good resources there!

Source https://stackoverflow.com/questions/64002714

QUESTION

Why does geopandas throw an assertion error, when the conditions seems to be met?

Asked 2020-Jan-22 at 15:14

I am trying to make a WFS request and create a GeoDataFrame (from the geopandas library) with this data. However, when I run my code, an assert raises an error:

...

ANSWER

Answered 2020-Jan-22 at 15:14

You don't have a list with four elements, you have a string.

To solve this, split your string to create a list before the assert, like bb = bb.split(',').

Source https://stackoverflow.com/questions/59860075

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install kealib

Binaries for Windows, Linux and Mac are available through Conda. Drivers for ArcMap and ERDAS Imagine are available from releases.

Support

Some documentation on compilation is available in the KEALib wiki. Documentation on the GDAL data model and API is available from the GDAL website. There is also a paper describing the features of the format.

Find more information at: