Added triangulate

This commit is contained in:
Mario Voigt 2020-08-01 05:02:40 +02:00
parent 83dce82604
commit 3d6eb5fe6e
2 changed files with 279 additions and 0 deletions

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<?xml version="1.0" encoding="UTF-8"?>
<inkscape-extension>
<_name>Image Triangulation</_name>
<id>fablabchemnitz.de.triangulation</id>
<param name="tab" type="notebook">
<page name="tab" _gui-text="Options">
<param name="num_points" type="int" min="20" max="10000" _gui-text="Sampled points:">150</param>
<param name="edge_thresh_min" type="int" min="0" max="255" _gui-text="Edge detection min">200</param>
<param name="edge_thresh_max" type="int" min="0" max="255" _gui-text="Edge detection max">255</param>
<param name="gradient_fill" type="boolean" _gui-text="Gradient fill">0</param>
<param name="add_corners" type="boolean" _gui-text="Add corners">0</param>
</page>
</param>
<effect>
<object-type>image</object-type>
<effects-menu>
<submenu _name="FabLab Chemnitz">
<submenu _name="Various" />
</submenu>
</effects-menu>
</effect>
<script>
<command reldir="extensions" interpreter="python">fablabchemnitz_triangulation.py</command>
</script>
</inkscape-extension>

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#!/usr/bin/env python3
'''
Copyright (C) 2014 Nicola Romano', romano.nicola@gmail.com
version 0.1
0.1: first working version
------------------------------------------------------------------------
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
------------------------------------------------------------------------
'''
import inkex
import urllib.parse
import urllib.request
import os
import random
from PIL import Image
from lxml import etree
from inkex import Transform
import numpy as np
from scipy.spatial import Delaunay
from scipy.cluster.vq import kmeans2
import cv2
class Triangulation(inkex.Effect):
def __init__(self):
# Call base class construtor.
inkex.Effect.__init__(self)
# Option parser:
# -n, --num_points
# -m, --edge_thresh_min
# -M, --edge_thresh_max
# -c, --add_corners
# -g, --gradient_fill
# -b, --tab
self.arg_parser.add_argument("-n", "--num_points", type=int, default=100, help="Number of points to be sampled")
self.arg_parser.add_argument("-m", "--edge_thresh_min", type=int, default=200, help="Minimum threshold for edge detection")
self.arg_parser.add_argument("-M", "--edge_thresh_max", type=int, default=255, help="Maximum threshold for edge detection")
self.arg_parser.add_argument("-c", "--add_corners", type=inkex.Boolean, default=0, help="Use corners for triangulation?")
self.arg_parser.add_argument("-g", "--gradient_fill", type=inkex.Boolean, default=0, help="Fill triangles with gradient?")
self.arg_parser.add_argument("-b", "--tab", default='', help="The tab of the interface")
def draw_SVG_path(self, points, closed, style, parent):
pathdesc = "M "
for p in points:
pathdesc = pathdesc + str(p[0]) + "," + str(p[1]) + " "
if closed == 1:
pathdesc = pathdesc + "Z"
path = etree.SubElement(parent, inkex.addNS('path','svg'), {'style' : str(inkex.Style(style)), 'd' : pathdesc})
return path
def effect(self):
# Check we have something selected
if len(self.svg.selected) == 0:
inkex.errormsg("Please select an image.")
exit()
else:
# Check it is an image
for id, obj in self.svg.selected.items():
if obj.tag[len(obj.tag)-5:] != "image":
inkex.errormsg("The selected object (" + id + ") is not an image, skipping.")
continue
else:
(self.path, errcode) = self.checkImagePath(obj) # This also ensures the file exists
if errcode==1:
inkex.errormsg("Embedded images are not (yet?) supported, please use a linked image. Skipping.")
continue
elif errcode==2:
inkex.errormsg("The image points to a file, which seems to be missing: "+self.path+". Skipping.")
continue
grpname = 'img_triangles'
# Make sure that the id/name is unique
index = 0
while (str(self.svg.get_ids()) in grpname):
grpname = 'axis' + str(index)
index = index + 1
grp_name = grpname
grp_attribs = {inkex.addNS('label','inkscape'):grp_name}
# The group to put everything in
grp = etree.SubElement(self.svg.get_current_layer(), 'g', grp_attribs)
# Find image size and position in Inkscape
try:
self.img_x_pos = float(obj.get("x"))
self.img_y_pos = float(obj.get("y"))
except:
self.img_x_pos = 0
self.img_y_pos = 0
self.img_width = float(obj.get("width"))
self.img_height = float(obj.get("height"))
im = Image.open(self.path)
# IMPORTANT!
# The numpy array is accessed as im.data[row,column], that is data[y_coord, x_coord]
# Be careful not to pass coordinates as (x,y): rather use (y,x)!
im.data = np.asarray(im)
# The RGB components of all the pixels in the image
self.red, self.green, self.blue = im.data[:,:,0], im.data[:,:,1], im.data[:,:,2]
# Find real image size
(self.img_real_width, self.img_real_height) = im.size
self.doTriangulation(grp)
# Check file exists and returns its path
def checkImagePath(self, obj):
xlink = obj.get(inkex.addNS('href','xlink'))
if xlink[:5] == 'data:': # Embedded image
return (None, 1)
# Code shamelessly copied from the Embed image extension :)
if xlink is None or xlink[:5] != 'data:':
absref = obj.get(inkex.addNS('absref','sodipodi'))
url = urllib.parse.urlparse(xlink)
href = urllib.request.url2pathname(url.path)
path=''
#path selection strategy:
# 1. href if absolute
# 2. realpath-ified href
# 3. absref, only if the above does not point to a file
if (href != None):
path = os.path.realpath(href)
if (not os.path.isfile(path)):
if (absref != None):
path=absref
if (not os.path.isfile(path)):
return (path, 2)
return (path, 0)
# Converts image coordinates to screen coordinates
def imgToScreen(self, x, y):
newx = x / (self.img_real_width/self.img_width) + self.img_x_pos
newy = y / (self.img_real_height/self.img_height) + self.img_y_pos
return (newx, newy)
def createLinearGradient(self, x1, y1, x2, y2, color1, color2, gradID):
attribs = {
'x1' : str(x1),
'y1' : str(y1),
'x2' : str(x2),
'y2' : str(y2),
'id' : gradID,
'gradientUnits' : "userSpaceOnUse",
'{'+inkex.NSS[u'xlink']+'}href': "#"+gradID
}
svgdefs = self.document.getroot().find(inkex.addNS('defs', 'svg'))
gradient = etree.SubElement(svgdefs, inkex.addNS('linearGradient','svg'), attribs)
attribs = {
'offset' : "0%",
'style' : "stop-color:"+color1+"; stop-opacity:1"
}
stop1 = etree.SubElement(gradient, inkex.addNS('stop','svg'), attribs)
attribs = {
'offset' : "100%",
'style' : "stop-color:"+color2+"; stop-opacity:1"
}
stop2 = etree.SubElement(gradient, inkex.addNS('stop','svg'), attribs)
return gradient
def doTriangulation (self, grp):
#inkex.utils.debug(self.path)
# Read image with OpenCV
imcv = cv2.imread(self.path)
# Convert to grayscale
gray = cv2.cvtColor(imcv,cv2.COLOR_RGB2GRAY)
gray = np.float32(gray)
# Find edges
edges = cv2.Canny(imcv, self.options.edge_thresh_min, self.options.edge_thresh_max, 100)
# Find coordinates of the edges
coords = [(float(x),float(y)) for y, row in enumerate(edges) for x, col in enumerate(row) if col>0]
#pt = random.sample(coords, self.options.num_points)
pt, idx = kmeans2(np.array(coords), self.options.num_points, minit="points")
if self.options.add_corners:
# Add the four corners
corners = [(0, 0),
(self.img_real_width-1, 0),
(0, self.img_real_height-1),
(self.img_real_width-1, self.img_real_height-1)]
pt = np.vstack((pt, corners))
# Perform Delaunay triangulation
tri = Delaunay(pt)
tri_coord = [(pt[t[0]], pt[t[1]], pt[t[2]]) for t in tri.simplices]
tri_colors = [(
(self.red[int(t[0][1]),int(t[0][0])], self.green[int(t[0][1]),int(t[0][0])], self.blue[int(t[0][1]),int(t[0][0])]),
(self.red[int(t[1][1]),int(t[1][0])], self.green[int(t[1][1]),int(t[1][0])], self.blue[int(t[1][1]),int(t[1][0])]),
(self.red[int(t[2][1]),int(t[2][0])], self.green[int(t[2][1]),int(t[2][0])], self.blue[int(t[2][1]),int(t[2][0])])
)
for t in tri_coord]
for i, c in enumerate(tri_coord):
# Convert to screen coordinates
v0 = self.imgToScreen(c[0][0], c[0][1])
v1 = self.imgToScreen(c[1][0], c[1][1])
v2 = self.imgToScreen(c[2][0], c[2][1])
col = tri_colors[i]
fill = ""
if self.options.gradient_fill:
color1 = "rgb("+str(col[0][0])+","+str(col[0][1])+","+str(col[0][2])+")"
color2 = "rgb("+str(0.5*col[1][0]+0.5*col[2][0])+","+ \
str(0.5*col[1][1]+0.5*col[2][1])+","+ \
str(0.5*col[1][2]+0.5*col[2][2])+")"
gradID = 'linearGradient'
# Make sure that the id is inique
index = 0
while (str(self.svg.get_ids()) in gradID):
gradID = 'linearGradient' + str(index)
index = index + 1
#self.doc_ids[gradID]=1
gradient = self.createLinearGradient(v0[0], v0[1],
0.5*(v1[0]+v2[0]), 0.5*(v1[1]+v2[1]),
color1, color2, gradID)
fill = "url(#"+gradient.get("id")+")"
else:
fill = "rgb("+str(col[0][0])+","+str(col[0][1])+","+str(col[0][2])+")"
tri_style = {
'stroke-width' : '1px',
'stroke-linecap' : 'round',
'stroke-opacity' : '1',
'fill' : fill,
'fill-opacity' : '1',
'stroke' : fill
}
self.draw_SVG_path([v0, v1, v2], 1, tri_style, grp)
Triangulation().run()