raster | An image processing library for Rust | Computer Vision library

 by   kosinix Rust Version: 0.1.0 License: MIT

kandi X-RAY | raster Summary

kandi X-RAY | raster Summary

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

An image processing library for Rust.
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            kandi-support Support

              raster has a low active ecosystem.
              It has 89 star(s) with 8 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 9 open issues and 5 have been closed. On average issues are closed in 51 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of raster is 0.1.0

            kandi-Quality Quality

              raster has 0 bugs and 0 code smells.

            kandi-Security Security

              raster has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              raster code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              raster is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

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

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            raster Key Features

            No Key Features are available at this moment for raster.

            raster Examples and Code Snippets

            No Code Snippets are available at this moment for raster.

            Community Discussions

            QUESTION

            How to make contour lines graph which colored only certain region?
            Asked 2022-Apr-09 at 16:05

            I have a raster data and wants to make contour graph similar to the this question enter link description here. I got the code from here. But I want to highlight (colour) the regions which is above 75 percentile and remaining by the simple lines that are shown in picture below. I copied the code from the the above link

            enter image description here

            Code is folowing

            ...

            ANSWER

            Answered 2022-Apr-09 at 16:05

            You can set the breaks of geom_contour_filled to start at your 75th centile, and make the NA value of scale_fill_manual transparent. You also need to draw in the default contour lines:

            Source https://stackoverflow.com/questions/71809637

            QUESTION

            How to iterate crop raster in R using a moving window?
            Asked 2022-Apr-03 at 16:57

            I want to crop a raster using a bbox or a known extent, i.e., 10 pixels in row and col.

            Below you can see a reproducible example:

            ...

            ANSWER

            Answered 2022-Apr-03 at 16:57

            Using terra data, by your approach, which I like:

            Source https://stackoverflow.com/questions/71709795

            QUESTION

            Faster methods to create geodataframe from a Dask or Pandas dataframe
            Asked 2022-Mar-31 at 20:54

            Problem

            I'm trying to clip a very large block model (5.8gb CSV file) containing centroid x, y, and z coordinates with an elevation raster. I'm trying to obtain only the blocks lying just above the raster layer.

            I usually do this in ArcGIS by clipping my block model points to the outline of my raster and then extracting the raster values to the block model points. For large datasets this takes an ungodly amount of time (yes, that's a technical term) in ArcGIS.

            How I want to solve it

            I want to speed this up by importing the CSV to Python. Using Dask, this is quick and easy:

            ...

            ANSWER

            Answered 2022-Mar-31 at 20:54

            The optimal way of linking dask and geopandas is the dask-geopandas package.

            Source https://stackoverflow.com/questions/71685387

            QUESTION

            How can I perform neighborhood analysis in terra or raster and keep the same NA cells of the input?
            Asked 2022-Mar-23 at 13:12

            I want to perform a neighborhood analysis in R to smooth the layer I have but keeping all the NAs of the input raster intact.

            However, when I do, for instance, the following, the calculation "propagates" over the NA values - what it is an undesiderable behavior, in my case.

            ...

            ANSWER

            Answered 2022-Mar-23 at 13:12

            With terra the focal method has an argument na.policy that can be set to one of "all", "only" or "omit".

            Source https://stackoverflow.com/questions/70429190

            QUESTION

            Aligning Natural Earth Geojson and Raster to render in D3
            Asked 2022-Mar-20 at 08:06

            I am trying to render the world map with elevation data using D3.

            For this I use Natural Earth 50m land geojson : https://github.com/martynafford/natural-earth-geojson/tree/master/50m/physical

            And Natural Earth elevation raster data : https://www.naturalearthdata.com/downloads/50m-raster-data/50m-shaded-relief/

            I am using this tutorial : https://datawanderings.com/2020/08/08/raster-backgrounds/

            So I first found the bounds of the geojson :

            ...

            ANSWER

            Answered 2022-Mar-20 at 08:06

            A Mercator is usually clipped at roughly 85 degrees North/South (~85.05113 N/S) - as further than this you get a map that is taller than it is wide, and one that gets much much taller for every extra degree north/south included in the extent..

            D3 clips features using this limit:

            The spherical Mercator projection. Defines a default projection.clipExtent such that the world is projected to a square, clipped to approximately ±85° latitude.

            The northern bounds are fine, but the southern bounds of the geojson is -89.998926 degrees which you use to cut the image. But as D3 clips the geojson, your stretching the image by a different amount as compared with the geojson, hence the issue you see.

            The solution should be to clip the image to a bounds that is representative of the limits of what D3 will render for a Mercator (85.05113 degrees south) not the limits of the data itself.

            I haven't looked up how faithfully gdal implements EPSG:3395 as the definition provides for a projected bounds of 80 degrees south and 84 degrees north - though looking at the image, this doesn't appear to be an issue.

            You can also use the cleaner fitSize methods for D3 projections (d3v4+):

            Source https://stackoverflow.com/questions/71510235

            QUESTION

            How to convert lidar format las to data.frame?
            Asked 2022-Mar-19 at 17:07

            Lidar data is simply 3d coordinates, usually in las file format. Сontent example

            ...

            ANSWER

            Answered 2022-Mar-19 at 08:58

            Please find below one possible solution to get a data.table,data.frame with all the information. You can use as.data.frame() to get a pure data.frame but a data.table is a data.frame

            Reprex

            NB: I used a .las dataset built in the lidR library as it is more convenient.

            • The example dataset from lidR

            Source https://stackoverflow.com/questions/71526952

            QUESTION

            How to write out from a matrix in R?
            Asked 2022-Mar-15 at 15:27
            library(raster)
            r <- raster(ncol=5, nrow=5, vals=2:26)
            r1 <- raster(ncol=5, nrow=5, vals=2:26)
            rs=stack(r,r1)
            as.matrix(rs[[1]])
                  [,1] [,2] [,3] [,4] [,5]
            [1,]    2    3    4    5    6
            [2,]    7    8    9   10   11
            [3,]   12   13   14   15   16
            [4,]   17   18   19   20   21
            [5,]   22   23   24   25   26
            as.matrix(rs[[2]])
                [,1] [,2] [,3] [,4] [,5]
            [1,]    2    3    4    5    6
            [2,]    7    8    9   10   11
            [3,]   12   13   14   15   16
            [4,]   17   18   19   20   21
            [5,]   22   23   24   25   26
            
            ...

            ANSWER

            Answered 2022-Mar-15 at 15:27

            We can unstack and convert to vector

            Source https://stackoverflow.com/questions/71484694

            QUESTION

            How to force gpu usage with JavaFX?
            Asked 2022-Mar-09 at 05:23

            I use JavaFX with Java 8 and i set this properties before launching my app
            System.setProperty("prism.forceGPU","true");
            System.setProperty("prism.order","d3d,sw");
            The verbose mode for prism gives me this :

            ...

            ANSWER

            Answered 2022-Mar-09 at 05:23

            For those who are trying to solve a similar issue, it might be coming from the java.exe executable not using the gpu you want as a default device, you can change that in Windows' settings.

            Source https://stackoverflow.com/questions/71365052

            QUESTION

            How can I find the distance between consecutive coordinates in R?
            Asked 2022-Feb-25 at 19:44

            I have a dataframe similar in structure to the one created below:

            ...

            ANSWER

            Answered 2022-Feb-25 at 19:28

            geosphere::dist* support this. The most-accurate is distVincentyEllipsoid (though it may be slower with larger data), followed by distVincentySphere and distHaversine. Its return value is in meters.

            dplyr

            Source https://stackoverflow.com/questions/71270755

            QUESTION

            How to remove unwanted horizontal lines added to raster image by ggsave?
            Asked 2022-Feb-19 at 05:16

            I can't solve a problem I found when plotting and saving an image from raster with the ggsave() function in R.
            When I plot it, it works well. When I use ggsave() to export it, horizontal gray lines are added to the plot.
            I want to remove them but I don't know how to do it.
            That's an example image with the options and the code I used:

            ...

            ANSWER

            Answered 2022-Feb-18 at 14:29
            library(tidyverse)
            
            df <- tibble(
              val = rep(sin(seq(0, 4*pi, length = 100)), 100),
              x = rep(1:100, 100),
              y = rep(1:100, each = 100)
            )
            

            Source https://stackoverflow.com/questions/71174307

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

            Vulnerabilities

            No vulnerabilities reported

            Install raster

            You can download it from GitHub.
            Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

            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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            gh repo clone kosinix/raster

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