Hi Marco, i have been trying to visualize a mesh segmentation. That is: vertices with

Thanks! You saved my day! <a target="_blank" rel="noopener noreferrer nofollow" hr

Hello <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-ur

You can try with something like: <div class="highlight highlight-source-python not

<a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/us

this works for me: <div class="highlight highlight-source-python notranslate posit

Visualize mesh segmentation about vedo HOT 14 CLOSED

marcomusy commented on August 16, 2024

Visualize mesh segmentation

from vedo.

Comments (14)

neoglez commented on August 16, 2024 2

Thanks! You saved my day!

from vedo.

marcomusy commented on August 16, 2024

You can use cmap().

from vedo.

roaasoloh commented on August 16, 2024

Hello @marcomusy
Kindly how I may expand this code for more than three segments
I mean in my case, I'm extracting connected components of the mesh like this:

s = Sphere(res=12)
#some code for extracting connected components
getting this: [[0, 152, 162, 172, 182, 192, 202, 212, 222, 232, 2, 12, 22, 32, 42, 52, 62, 72, 82, 92, 102, 112, 122, 132, 142], 
[1, 41, 31, 21, 11, 241, 231, 221, 211, 201, 191, 181, 171, 161, 151, 141, 131, 121, 111, 101, 91, 81, 71, 61, 51], 
[3, 13, 23, 33, 43, 53, 63, 73, 83, 93, 103, 113, 123, 133, 143, 153, 163, 173, 183, 193, 203, 213, 223, 233, 234, 4, 14, 24, 34, 44, 54, 64, 74, 84, 94, 104, 114, 124, 134, 144, 154, 164, 174, 184, 194, 204, 214, 224, 225, 235, 5, 15, 25, 35, 45, 55, 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175, 185, 195, 205, 215, 216, 226, 236, 6, 16, 26, 36, 46, 56, 66, 76, 86, 96, 106, 116, 126, 136, 146, 156, 166, 176, 186, 196, 206, 207, 197, 187, 177, 167, 157, 147, 137, 127, 117, 107, 97, 87, 77, 67, 57, 47, 37, 27, 17, 7, 237, 227, 217, 218, 208, 198, 188, 178, 168, 158, 148, 138, 128, 118, 108, 98, 88, 78, 68, 58, 48, 38, 28, 18, 8, 238, 228, 229, 219, 209, 199, 189, 179, 169, 159, 149, 139, 129, 119, 109, 99, 89, 79, 69, 59, 49, 39, 29, 19, 9, 239, 240, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230]]

These are the indexes of points that belongs to a component

In this case it's three connected components, but what if it's more, as well how I define sv.cellColors? Depending of what the constraints are set?

Thank you so much

from vedo.

marcomusy commented on August 16, 2024

sorry I don't understand your question!

from vedo.

roaasoloh commented on August 16, 2024

I'm trying to segment my mesh depending on the connected components I obtained,
each list above represent a region and I would like to color it unique color.

from vedo.

marcomusy commented on August 16, 2024

You can try with something like:

import numpy as np
from vedo import *

settings.interpolateScalarsBeforeMapping = False # avoid full interpolation

s1 = Sphere(res=12).lw(1)

#some code for extracting connected components
groups = [[0, 152, 162, 172, 182, 192, 202, 212, 222, 232, 2, 12, 22, 32, 42, 52, 62, 72, 82, 92, 102, 112, 122, 132, 142],
[1, 41, 31, 21, 11, 241, 231, 221, 211, 201, 191, 181, 171, 161, 151, 141, 131, 121, 111, 101, 91, 81, 71, 61, 51],
[3, 13, 23, 33, 43, 53, 63, 73, 83, 93, 103, 113, 123, 133, 143, 153, 163, 173, 183, 193, 203, 213, 223, 233, 234, 4, 14, 24, 34, 44, 54, 64, 74, 84, 94, 104, 114, 124, 134, 144, 154, 164, 174, 184, 194, 204, 214, 224, 225, 235, 5, 15, 25, 35, 45, 55, 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175, 185, 195, 205, 215, 216, 226, 236, 6, 16, 26, 36, 46, 56, 66, 76, 86, 96, 106, 116, 126, 136, 146, 156, 166, 176, 186, 196, 206, 207, 197, 187, 177, 167, 157, 147, 137, 127, 117, 107, 97, 87, 77, 67, 57, 47, 37, 27, 17, 7, 237, 227, 217, 218, 208, 198, 188, 178, 168, 158, 148, 138, 128, 118, 108, 98, 88, 78, 68, 58, 48, 38, 28, 18, 8, 238, 228, 229, 219, 209, 199, 189, 179, 169, 159, 149, 139, 129, 119, 109, 99, 89, 79, 69, 59, 49, 39, 29, 19, 9, 239, 240, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230]]

pts =  s1.points()
pts0 = Points(pts[groups[0]], r=10, c='r')
pts1 = Points(pts[groups[1]], r=10, c='g')
pts2 = Points(pts[groups[2]], r=10, c='b')

ptdata = np.zeros_like(pts)
ptdata[groups[0]] = 0
ptdata[groups[1]] = 1
ptdata[groups[2]] = 2
s1.addPointArray(ptdata, "groupnumber")

# color mesh using vertex points
s1.cmap('jet_r', "groupnumber")

# map point data to cells (mesh faces) and color those
s2 = s1.clone() # make a copy
s2.mapPointsToCells().cmap('jet_r', on='cells')

show([(s1,pts0,pts1,pts2), s2], N=2, axes=1)

from vedo.

roaasoloh commented on August 16, 2024

@marcomusy I'm really appreciating your assitance, thank you so much,

One more idea if you please, what regarding more than 3 groups, in other word, ok. I'll be making a for loop dependable on len(groups) but my problem is how to assign different colors, how I shall assign these with different c : pts0 = Points(pts[groups[0]], r=10, c='r')
I was trying for the points(not regions, something like this:

  # keys = ['r','black','blue','white','green','purple']
    # pt = []
    # pts = []
    #
    # for i in component:
    #    print(i)
    #    for s, key in enumerate(keys):
    #        print(key)
    #        pt.append(Points(pts, c=key, r=7))
    # show(s, pt)

It's not giving correct results as well, :(
but this assigns only for 5 colors, some one suggests to make hexcolors but also didn't worked, since I'm getting only the last color visualized, I'm not getting what I'm missing,
I don't want to depend on stick number, (5 here, or 3 in your example) instead I would like it to be dependable on the problem.
Much appreciated again.

from vedo.

marcomusy commented on August 16, 2024

this works for me:

from vedo import *
import numpy as np

keys = ['r','black','blue','white','green','purple']
vpt = []
components= [0]

for i in components:
    for j, key in enumerate(keys):
        pts = np.random.rand(50, 3) + j
        vpt.append(Points(pts, c=key, r=7))

show(*vpt, "some other stuff", axes=1).close()

from vedo.

roaasoloh commented on August 16, 2024

Sorry, I'm again re- asking after getting some trouble with this;
And again I'll try to clarify what I want,
I have a dynamic number of connected components, and I would like to color each region with different color, just like what this issue is opened for, but instead of only 3 colors, I might have more than 50 regions to color!
is it possible??
for example I have:

14
[[0, 71, 70, 223, 184, 186, 236, 208, 193, 207, 194, 189, 190, 195, 206, 213, 209, 205, 215, 174, 339, 212, 197, 179, 177, 220, 286, 221, 204, 329, 258, 274, 255, 246, 268, 265, 334, 245, 267, 264, 271, 248, 256, 251, 244, 249, 275, 270, 58, 313, 314, 316, 164, 345, 319, 61, 259, 202, 253, 203, 328, 257, 247, 272, 266, 262, 335, 263, 336, 240, 241, 250, 276, 269, 59, 312, 315, 317, 163, 346, 320, 60, 260, 201, 254, 252, 243, 200, 311, 308, 318, 273, 309, 310, 199, 198, 239, 56, 116, 118, 119, 128, 122, 323, 347, 288, 113, 287, 325, 322, 121, 120, 324, 154, 114, 348, 289, 178, 180, 187, 196, 211, 210, 214, 171, 340, 238, 99, 337, 106, 293, 150, 52, 51, 321, 123, 117, 57, 242, 50, 151, 292, 109, 338, 98, 237, 43, 69, 291, 65, 75, 127, 342, 157, 112, 153, 155, 152, 294, 295, 296, 115, 156, 126, 341, 74, 66, 290, 68, 218, 172, 282, 107, 283, 108, 42, 344, 173, 40, 41, 67, 54, 146, 149, 148, 297, 145, 147, 162, 143, 161, 159, 124, 130, 100, 299, 298, 77, 300, 301, 62, 63, 168, 165, 226, 182, 216, 222, 181, 217, 224, 183, 185, 235, 188, 191, 192, 64, 53, 343, 176, 47, 111, 160, 110, 281, 46, 175, 219, 44, 45, 48, 73, 72, 125, 129, 103, 304, 305, 76, 303, 302, 285, 169, 170, 104, 78, 105, 279, 81, 82, 229, 85, 102, 280, 326, 133, 83, 80, 327, 131, 227, 228, 86, 132, 79, 231, 306, 135, 89, 332, 278, 232, 91, 92, 331, 90, 88, 137, 138, 94, 333, 277, 233, 307, 136, 93, 84, 230, 87, 134, 139, 140, 95, 330, 234, 96, 97, 167, 166, 284, 101, 225, 142, 144, 141, 158, 23, 25, 261, 26, 36, 35, 34, 24, 9, 49, 55, 16, 19, 29, 21, 8, 1, 2, 14, 11, 33, 4, 5, 7, 39, 32, 10, 37, 38], 
[3], 
[6], 
[12], 
[13],
 [15], 
[17], 
[18], 
[20],
 [22],
 [27], 
[28], 
[30], 
[31]]

I have here 14 regions, and as you notice, some vertices are single in the region!

I appreciate your assistance

from vedo.

marcomusy commented on August 16, 2024

is it possible??

yes, obviously!
you can use a color map to transform a continuos scalar into a rgb color with
rgb_col = colorMap(value, name=="jet", vmin=0, vmax=123)

from vedo.

roaasoloh commented on August 16, 2024

I appreciate it if you may give me a sample example for my case? Piece of code with the actuaL visualizations Much thankful

…

On 15 Jun 2021, at 2:26 PM, Marco Musy ***@***.***> wrote: is it possible?? yes, obviously! you can use a color map to transform a continuos scalar into a rgb color with rgb_col = colorMap(value, name=="jet", vmin=0, vmax=123) — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

from vedo.

roaasoloh commented on August 16, 2024

show([(s1,pts0,pts1,pts2), s2], N=2, axes=1)

Please, for a mesh I tried, where I got also three connected components, I tried the quoted reply as it is, but the Visualization is not proper and same, it differs between the two, the attached shows what I mean,

Also regarding the last reply from you, what should value means? since I tried it to be for components, it gives an error, tried it in a for loop for each of the connected component, it also didn't give any thing.

from vedo.

marcomusy commented on August 16, 2024

value is a real nr between vmin and vmax

sorry, i have no idea of what "connected components" is, your questions are not clear at all.

from vedo.

roaasoloh commented on August 16, 2024

Sorry, I mean by connected components, the region(segment), that consists of single-point or might be more, and I would like to visualize it. Is there any reason why I’m getting different colormap, for the two meshes? I’m exactly applying your example for the three groups you mentioned earlier. All that I asked more if the number of groups is dynamic, might be three one time, other time might be more(14, 20 … segments), I will need to assign different color for each group (segment) in order to visualize it, like the example you gave for the person mesh(instead of three colors (segments) it might be more)

from vedo.

Visualize mesh segmentation about vedo HOT 14 CLOSED

Comments (14)

Related Issues (20)

Recommend Projects

React

Vue.js

Typescript

TensorFlow

Django

Laravel

D3

Recommend Topics

javascript

web

server

Machine learning

Visualization

Game

Recommend Org

Facebook

Microsoft

Google

Alibaba

D3

Tencent