velox | simple window manager based

by michaelforney C Version: Current License: MIT

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

kandi X-RAY | velox Summary

velox is a C library. velox has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

velox window manager

Support

Quality

Security

License

Reuse

Support

velox has a low active ecosystem.

It has 308 star(s) with 12 fork(s). There are 22 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 25 have been closed. On average issues are closed in 220 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of velox is current.

Quality

velox has 0 bugs and 0 code smells.

Security

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

velox code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

velox 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

velox releases are not available. You will need to build from source code and install.

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

It has 31 lines of code, 0 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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velox Key Features

No Key Features are available at this moment for velox.

velox Examples and Code Snippets

No Code Snippets are available at this moment for velox.

Community Discussions

Trending Discussions on velox

How to rotate Annotations when converting HDF5 files to dm3?

Aggregate high resolution (300m*300m) raster (raster::aggregate and velox not able to handle well this resolution)

Avoid a for loop in raster::extract(rst,shp)

How do you run Javascript in Django?

QUESTION

How to rotate Annotations when converting HDF5 files to dm3?

Asked 2021-Nov-22 at 08:36

I am working on converting Velox file (HDF5) to .dm3 file using Tore Niermann's plugin (gms_plugin_hdf5) to read string. Annotations on HDF5 file also need to transfer to .dm3 file. HDF5 file maybe rotate in any angle. But the position coordinate of annotation read from hdf5 file is corresponding to images without rotating. I found that the annotations didn't move with rotating images. I had to re-calculate the position coordinate for every annotation. It isn't convenient for annotations such as box or oval. And I need to extract maximum area when rotating images. So the image size will change with rotation angle. So is there better solutions for rotating the annotations？ Thanks. Here is a sample function from my script. I didn't attach all because it's quite long.

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ANSWER

Answered 2021-Nov-22 at 08:04

If I understood you correctly, then your source data (HDF5) stores the image (2D array?) plus a rotation angle, but the annotations in the coordinate system of the (not rotated) image? How is the source-data displayed in the original software then? (Is it showing a rotated rectangle-image?)

GMS does not support rotating imagesDisplays (as objects) and consequently also not rotations of annotations. The coordinates systems are always screen-axis aligned orthogonal. Hence the need for interpolation when "rotating" images. The data values are re-computed for the new grid.

If you don't need the annotations to be adjustable after your input, one potential thing you could do would be to create an "as displayed" image after import prior rotation, and then rotate the image with the annotations "burnt in". This is obviously only good for creating "final display images" though.

Source https://stackoverflow.com/questions/70047582

QUESTION

Aggregate high resolution (300m*300m) raster (raster::aggregate and velox not able to handle well this resolution)

Asked 2021-Apr-15 at 07:18

I'm trying to aggregate a raster r of global extent from a ~300m*300m (10 arc‐seconds, 7.4GB) resolution to a ~10km resolution (0.083333 decimal degrees), i.e. a factor of 30. Both the aggregate functions from the raster and the velox packages do not seem to handle such large dataset. I very much welcome recommendations!

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ANSWER

Answered 2021-Apr-14 at 20:35

You say that raster cannot handle a large raster like that, but that is not true. The problem is that you are trying to create a very large data set in memory --- more memory than your computer has available. You can use the init function instead. I show that below but not using a global 300 m raster to make the example run a bit faster.

Source https://stackoverflow.com/questions/67086249

QUESTION

Avoid a for loop in raster::extract(rst,shp)

Asked 2020-Nov-02 at 17:20

I am working on R to extract the mean and maximum value of a raster within a 3 meter buffer of some buildings.

For this, I have created a for loop that iterates iterates through each building to extract this two values. My current code looks as follows:

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ANSWER

Answered 2020-Oct-29 at 17:13

You do not need a loop. Example data from ?raster::extract

Source https://stackoverflow.com/questions/64593330

QUESTION

How do you run Javascript in Django?

Asked 2020-Aug-03 at 21:52

This is my first time doing anything like this and google has not helped me much. I can get Javascript to work as part of the html but not as its own file.

I've set up my static files and they work for my CSS but I cannot run any Javascript from the static folder.

The path is below:

This is in my "base.html"

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ANSWER

Answered 2020-Aug-02 at 16:29

try adding this ur settings

Source https://stackoverflow.com/questions/63218137

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

Vulnerabilities

No vulnerabilities reported

Install velox

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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