polygonize | Javascript Implementation of GEOS 's Polygonize function
kandi X-RAY | polygonize Summary
kandi X-RAY | polygonize Summary
Polygonizes a set of Geometrys which contain linework that represents the edges of a planar graph. It's basically an implementation of GEOS's Polygonizer. Although, the algorithm is the same as GEOS, it isn't a literal transcription of the C++ source code. It was rewriten in order to get a more javascript like code.
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QUESTION
The problem is the following: I got a png file : example.png
that I filter using chan vese of
skimage.segmentation.chan_vese
- It's return a png file in black and white.
i detect segments around my new png file with
cv2.ximgproc.createFastLineDetector()
- it's return a list a segment
But the list of segments represent disjoint segments.
I use two naive methods to polygonize this list of segment:
-It's seems that cv2.ximgproc.createFastLineDetector()
create a almost continuous list so I just join by creating new segments:
ANSWER
Answered 2021-Jun-15 at 06:36So I use another library to solve this problem: OpenCV-python
We got have also the detection of segments( which are not disjoint) but with a hierarchy with the function findContours
. The hierarchy is useful since the function detects different polygons. This implies no problems of connections we could have with the other method like explain in the post
QUESTION
I'm using a compute shader to speed up parallel processing of a 3D space computation. The shader gives me compile error Shader error in 'Polygonize': syntax error: unexpected token 'struct' at kernel Polygonize at Polygonize.compute(10) (on d3d11). Polygonize.compute is the shader file. The weirdest thing is that the first struct doesn't cause an error but the second one does. This is the code: (there's more later but the error occurs at the declaration of the second struct)
...ANSWER
Answered 2021-Jan-25 at 12:00Afaik in shaders (HLSL) the definition of structs ends with ;
so it should be
QUESTION
I set the return to null for the component and condition in question to check the data I'm returning and I couldn't find any issues in the coordinates arrays.
I get data as an array of geometry collections containing linestrings that make borders (from OSM's Overpass). Leaflet seems to only accept shapes, features, and featurecollections as inputs. As such, I wrote something to convert each geometry collection to a feature containing a multipolygon and added in a name and ID properties then made it into a featurecollection.
Example of OSM request body
...ANSWER
Answered 2020-Dec-21 at 03:40I used geojsonlint.com and found an error in my geojson. My coordinates array of arrays had to be in another array. The outermost array allows for a second element: holes.
QUESTION
I have a rather large raster (384 MB) that I am trying to convert to a polygon shapefile in R.
The rastertoPolygons
function from the raster package doesn't seem to be able to handle this, as I tried running it but gave up after it was going for 7+ hours.
I also tried to use gdal_polygonize.py from GDAL in python via this function by John Baumgartner but after letting the function run for 30+ minutes I still have nothing. Am I simply not letting it run long enough? I was under the impression that gdal_polyonize.py was supposed to be very quick, i.e. seconds.
Here's a link to my raster file.
Any guidance would be greatly appreciated.
...ANSWER
Answered 2020-Dec-17 at 07:11terra
does this much faster than raster
(but not faster than GDAL because that is what it uses)
QUESTION
I have a large dataset (~20000) of past storms over 40 years that have a list of central points over 3-hour intervals. I'm trying to overlay a mesh-grid onto a large area from which I would like to count the number of times each storm has passed over any given grid cell, however my current implementation only tracks the position at those three-hour intervals, leading to some instances where the track jumps a grid space when it should also be counted.
I am trying to address this problem using geopandas instead to create a lineseries for each storm track, and then perform an intersection against the mesh grid, however, I cannot find any functional implementations that allow me to do so.
To create the grid in geopandas, I am using the following solution from a previous question:
...ANSWER
Answered 2020-Sep-16 at 01:20polyFrame = gpd.GeoDataFrame(geometry=grids)
QUESTION
I've a 1 arc-second SRTM raster layer from USGS.
I'm trying to turn that raster into a set of polygons for each 100 m elevational bands. I then would like to dissolve or union polygons of same attributes together.
My problem is that the majority of the polygons get an invalid geometry in the process.
I'm not sure where the problem arises so I will describe all the steps I did:
...ANSWER
Answered 2020-Apr-02 at 01:34I think there are numerous causes of the problem...overlapping geometries, self-intersecting geoms, etc. Try buffering by a distance of 0 - not sure why this works but it’s a common solution on posts like this and it also worked for me when I was in your shoes.
QUESTION
I am trying to get rid of the spatial geometry that falls outside of the shapefile boundary I read. Is it possible to do this without manual software like Photoshop? Or me manually removing the tracts which span outside of the city's boundries. For example, I took out 14 tracts, this is there result:
I have provided all of the subset of the data and the key to test it yourself. Code script is below, and the dataset is https://github.com/THsTestingGround/SO_geoSpatial_crop_Quest.
I have done st_intersection(gainsville_df$Geomtry$x, gnv_poly$geometry)
after I converted Geomtry
to the sf
, but I don't know what to do next to get rid of those portions.
ANSWER
Answered 2020-Mar-17 at 07:32I'm going to use library(mapdeck)
to plot everything, mainly because it's a library I've developed so I'm very familiar with it. It uses Mapbox maps, so you'll need a Mapbox Token to use it.
First, get the data
QUESTION
I have this code based on this question, just a different point Extract constrained polygon using OSMnx
I am trying to plot the block in which the point is located but it does nothing, it just prints "Done" but I cannot see any image
...ANSWER
Answered 2020-Feb-08 at 15:48Since my comment answered your question, I will summarize it here for other people:
When using plotting library dependent on matplotlib, like geopandas or seaborn, you will need to import matplotlib in order to show the plot. The way matplotlib is imported will depend on whether you are using Jupyter or simple scripting (.py) files.
For Jupyter you need to import it like this:
QUESTION
I'm using the following loop to calculate the difference between two images of the same size:
...ANSWER
Answered 2019-Nov-23 at 19:13You create two instances of Color
per point, that's quite a bit. There's a much faster way of extracting the RGB from an int (look at the sources of Color
).
More importantly, you extract points one by one, which is usually terribly slow (as they may be organized differently in the BufferedImage
s). Call a method extracting more of them at once into an int[]
.
AFAIK there's a way to let the image compute the result, which is probably still faster.
I've already tried using
ExecutorService
to no good and I could really use some advice.
This should also help, but only up to the number of cores you have. However, using paralel streams is usually much simpler. But that's a different story (question).
QUESTION
I am trying to create an SQL query (PosgreSQL + PostGIS) on a single table that contains 1000’s of overlapping polygons (multi-part, some with holes) that will: . cut polygons into non-overlapping pieces, and for each piece . count how many times the overlap occurred.
I have found a few examples googling but none shows the full answer. For example, here is one that cuts polygon (based on: PostGIS equivalent of ArcMap Union ) but doesn’t cut properly if polygons have holes. And I can’t figure out how to add a column with counted overlaps:
...ANSWER
Answered 2019-Sep-30 at 10:21So, I am answering my own question once again...
Here is what I came up with, hopefully it will help others with similar problem:
. this code works with polygons with holes (at least for cases I tested);
. there are two parts: the first splits multiple overlapping polygons into individual parts, the second checks (for a point in each part) how many input polygons it intersects with;
. this code will handle 'a few' overlapping polygons but is untested on large tables - performance can be improved if input data is properly indexed.
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