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Upload dxf__omar3_2.py
Browse files- dxf__omar3_2.py +433 -0
dxf__omar3_2.py
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| 1 |
+
# -*- coding: utf-8 -*-
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| 2 |
+
"""Version to be deployed of 3.2 Calculating area/perimeter
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| 3 |
+
|
| 4 |
+
Automatically generated by Colab.
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| 5 |
+
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| 6 |
+
Original file is located at
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| 7 |
+
https://colab.research.google.com/drive/1XPeCoTBgWSNBYZ3aMKBteP4YG3w4bORs
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| 8 |
+
"""
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| 9 |
+
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| 10 |
+
# pip install ezdxf[draw]
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| 11 |
+
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| 12 |
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# pip install --upgrade ezdxf
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| 13 |
+
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| 14 |
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# pip install pymupdf #==1.22.5
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| 15 |
+
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| 16 |
+
# pip install PyPDF2
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| 17 |
+
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| 18 |
+
# pip install ezdxf scipy
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| 19 |
+
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| 20 |
+
"""## Imports"""
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| 21 |
+
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| 22 |
+
import numpy as np
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| 23 |
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import cv2
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| 24 |
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from matplotlib import pyplot as plt
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| 25 |
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import math
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| 26 |
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from PIL import Image , ImageDraw, ImageFont , ImageColor
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| 27 |
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import fitz
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| 28 |
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import ezdxf as ez
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| 29 |
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import sys
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| 30 |
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from ezdxf import units
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| 31 |
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from ezdxf.math import OCS, Matrix44, Vec3
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| 32 |
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import ezdxf
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| 33 |
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import matplotlib.pyplot as plt
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| 34 |
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from matplotlib.patches import Polygon
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| 35 |
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from shapely.geometry import Polygon as ShapelyPolygon
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| 36 |
+
from ezdxf.math import Vec2
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| 37 |
+
import random
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| 38 |
+
import pandas as pd
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| 39 |
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import google_sheet_Legend
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| 40 |
+
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| 41 |
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"""## Notes"""
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| 42 |
+
|
| 43 |
+
#new approach to get width and height of dxf plan
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| 44 |
+
'''
|
| 45 |
+
This portion is used to convert vertices read from dxf to pixels in order to accurately locate shapes in the image and pdf
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| 46 |
+
ratio :
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| 47 |
+
MeasuredMetric* PixelValue/ DxfMetric = MeasuredPixel
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| 48 |
+
PixelValue: get from pixel conversion code , second number in the bracker represents the perimeter
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| 49 |
+
DxfMetric: measured perimeter from foxit
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| 50 |
+
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| 51 |
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divide pixelvalue by dxfmetric, will give u a ratio , this is ur dxfratio
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| 52 |
+
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| 53 |
+
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| 54 |
+
'''
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| 55 |
+
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| 56 |
+
|
| 57 |
+
"""PDF to image"""
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| 58 |
+
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| 59 |
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def pdftoimg(datadoc):
|
| 60 |
+
doc = fitz.open('pdf',datadoc)
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| 61 |
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page=doc[0]
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| 62 |
+
pix = page.get_pixmap() # render page to an image
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| 63 |
+
pl=Image.frombytes('RGB', [pix.width,pix.height],pix.samples)
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| 64 |
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img=np.array(pl)
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| 65 |
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img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
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| 66 |
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return img
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| 67 |
+
|
| 68 |
+
"""Flips image
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| 69 |
+
DXF origin is at the bottom left while img origin is top left
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| 70 |
+
"""
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| 71 |
+
|
| 72 |
+
def flip(img):
|
| 73 |
+
height, width = img.shape[:2]
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| 74 |
+
|
| 75 |
+
# Define the rotation angle (clockwise)
|
| 76 |
+
angle = 180
|
| 77 |
+
|
| 78 |
+
# Calculate the rotation matrix
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| 79 |
+
rotation_matrix = cv2.getRotationMatrix2D((width/2, height/2), angle, 1)
|
| 80 |
+
|
| 81 |
+
# Rotate the image
|
| 82 |
+
rotated_image = cv2.warpAffine(img, rotation_matrix, (width, height))
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| 83 |
+
flipped_horizontal = cv2.flip(rotated_image, 1)
|
| 84 |
+
return flipped_horizontal
|
| 85 |
+
|
| 86 |
+
"""### Hatched areas"""
|
| 87 |
+
|
| 88 |
+
def get_hatched_areas(filename):
|
| 89 |
+
doc = ezdxf.readfile(filename)
|
| 90 |
+
doc.header['$MEASUREMENT'] = 1
|
| 91 |
+
msp = doc.modelspace()
|
| 92 |
+
trial=0
|
| 93 |
+
hatched_areas = []
|
| 94 |
+
|
| 95 |
+
for entity in msp:
|
| 96 |
+
# print(entity.dxftype())
|
| 97 |
+
if entity.dxftype() == 'HATCH':
|
| 98 |
+
flag=0
|
| 99 |
+
trial=0
|
| 100 |
+
# print("Gowa el hatch")
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| 101 |
+
for path in entity.paths:
|
| 102 |
+
# print("gowa el for")
|
| 103 |
+
try:
|
| 104 |
+
vertices = [(vertex[0], vertex[1])for vertex in path.vertices]
|
| 105 |
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if(len(vertices)>3):
|
| 106 |
+
|
| 107 |
+
poly = ShapelyPolygon(vertices)
|
| 108 |
+
|
| 109 |
+
if poly.area > 0.5:
|
| 110 |
+
area1 = round(poly.area,3)
|
| 111 |
+
perimeter = round (poly.length,3)
|
| 112 |
+
|
| 113 |
+
if trial==0:
|
| 114 |
+
hatched_areas.append([vertices,area1,perimeter])
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| 115 |
+
trial=1
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| 116 |
+
# print("hatched_areas = ", hatched_areas)
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| 117 |
+
|
| 118 |
+
else:
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| 119 |
+
|
| 120 |
+
for i in range(len(hatched_areas)):
|
| 121 |
+
|
| 122 |
+
if(area1 == hatched_areas[i][1]):
|
| 123 |
+
flag=1
|
| 124 |
+
|
| 125 |
+
# if(flag==0):
|
| 126 |
+
# hatched_areas.append([vertices,area1])
|
| 127 |
+
|
| 128 |
+
# hatched_areas.append([vertices,area1])
|
| 129 |
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# print("Gowa el hatch2")
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
|
| 133 |
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# print("Gowa el if ely b3d el hatch")
|
| 134 |
+
|
| 135 |
+
# if entity.area > 0.5:
|
| 136 |
+
# hatched_areas.append([entity.area])
|
| 137 |
+
|
| 138 |
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except:
|
| 139 |
+
# print("in except")
|
| 140 |
+
vert=[]
|
| 141 |
+
flag=0
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| 142 |
+
flag2=0
|
| 143 |
+
for edge in path.edges:
|
| 144 |
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x,y=edge.start
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| 145 |
+
x1,y1=edge.end
|
| 146 |
+
# print(edge.start)
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| 147 |
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# print(edge.end)
|
| 148 |
+
if(flag==0):
|
| 149 |
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vert=[(x,y),(x1,y1)]
|
| 150 |
+
else:
|
| 151 |
+
vert.append([x1,y1])
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| 152 |
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flag=1
|
| 153 |
+
# print(vert)
|
| 154 |
+
poly = ShapelyPolygon(vert)
|
| 155 |
+
# print("New Hatch Area = ",poly.area)
|
| 156 |
+
|
| 157 |
+
if (poly.area > 0.5):
|
| 158 |
+
area1= round(poly.area,3)
|
| 159 |
+
perimeter = round (poly.length,3)
|
| 160 |
+
|
| 161 |
+
for i in range(len(hatched_areas)):
|
| 162 |
+
|
| 163 |
+
if(area1 == hatched_areas[i][1]):
|
| 164 |
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flag2=1
|
| 165 |
+
|
| 166 |
+
if(flag2==0):
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| 167 |
+
hatched_areas.append([vert,area1,perimeter])
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| 168 |
+
# hatched_areas.append([vert,area1])
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| 169 |
+
# # hatched_areas.append(vertices)
|
| 170 |
+
# continue
|
| 171 |
+
|
| 172 |
+
elif entity.dxftype() == 'SOLID':
|
| 173 |
+
|
| 174 |
+
vertices = [entity.dxf.vtx0, entity.dxf.vtx1, entity.dxf.vtx2, entity.dxf.vtx3]
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| 175 |
+
poly = ShapelyPolygon(vertices)
|
| 176 |
+
# print("Gowa el solid")
|
| 177 |
+
|
| 178 |
+
|
| 179 |
+
if poly.area > 0.5:
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| 180 |
+
hatched_areas.append([vertices,poly.area,poly.length])
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| 181 |
+
# print("Gowa el if ely b3d el solid")
|
| 182 |
+
|
| 183 |
+
|
| 184 |
+
elif entity.dxftype() == 'LWPOLYLINE':
|
| 185 |
+
|
| 186 |
+
vertices=[]
|
| 187 |
+
lwpolyline = entity
|
| 188 |
+
points = lwpolyline.get_points()
|
| 189 |
+
flag=0
|
| 190 |
+
|
| 191 |
+
for i in range(len(points)):
|
| 192 |
+
vertices.append([points[i][0],points[i][1]])
|
| 193 |
+
if(len(vertices)>3):
|
| 194 |
+
|
| 195 |
+
if(vertices[0][0] == vertices[len(vertices)-1][0] or vertices[0][1] == vertices[len(vertices)-1][1]):
|
| 196 |
+
|
| 197 |
+
poly=ShapelyPolygon(vertices)
|
| 198 |
+
# print("vertices==",vertices)
|
| 199 |
+
|
| 200 |
+
if poly.area > 0.5:
|
| 201 |
+
|
| 202 |
+
area1 = round(poly.area,3)
|
| 203 |
+
perimeter = round (poly.length,3)
|
| 204 |
+
|
| 205 |
+
for i in range(len(hatched_areas)):
|
| 206 |
+
|
| 207 |
+
if(area1 == hatched_areas[i][1]):
|
| 208 |
+
flag=1
|
| 209 |
+
|
| 210 |
+
if(flag==0):
|
| 211 |
+
hatched_areas.append([vertices,area1,perimeter])
|
| 212 |
+
|
| 213 |
+
|
| 214 |
+
|
| 215 |
+
elif entity.dxftype() == 'SPLINE':
|
| 216 |
+
|
| 217 |
+
spline_entity = entity
|
| 218 |
+
|
| 219 |
+
vertices = []
|
| 220 |
+
|
| 221 |
+
control_points = spline_entity.control_points
|
| 222 |
+
|
| 223 |
+
|
| 224 |
+
if(len(control_points)>3):
|
| 225 |
+
|
| 226 |
+
for i in range(len(control_points)):
|
| 227 |
+
vertices.append([control_points[i][0],control_points[i][1]])
|
| 228 |
+
|
| 229 |
+
|
| 230 |
+
|
| 231 |
+
poly=ShapelyPolygon(vertices)
|
| 232 |
+
|
| 233 |
+
|
| 234 |
+
|
| 235 |
+
|
| 236 |
+
if poly.area > 0.5:
|
| 237 |
+
|
| 238 |
+
area1 = round(poly.area,3)
|
| 239 |
+
perimeter = round (poly.length,3)
|
| 240 |
+
|
| 241 |
+
hatched_areas.append([vertices,area1,perimeter])
|
| 242 |
+
return hatched_areas
|
| 243 |
+
|
| 244 |
+
"""### Rotate polygon"""
|
| 245 |
+
|
| 246 |
+
from math import sin, cos, radians
|
| 247 |
+
|
| 248 |
+
def rotate_point(point, angle,pdfrotation,pdfsize, center_point=(0, 0)):
|
| 249 |
+
"""Rotates a point around center_point(origin by default)
|
| 250 |
+
Angle is in degrees.
|
| 251 |
+
Rotation is counter-clockwise
|
| 252 |
+
"""
|
| 253 |
+
angle_rad = radians(angle % 360)
|
| 254 |
+
# Shift the point so that center_point becomes the origin
|
| 255 |
+
new_point = (point[0] - center_point[0], point[1] - center_point[1])
|
| 256 |
+
new_point = (new_point[0] * cos(angle_rad) - new_point[1] * sin(angle_rad),
|
| 257 |
+
new_point[0] * sin(angle_rad) + new_point[1] * cos(angle_rad))
|
| 258 |
+
# Reverse the shifting we have done
|
| 259 |
+
if pdfrotation!=0:
|
| 260 |
+
|
| 261 |
+
new_point = (new_point[0]+pdfsize[2] + center_point[0], new_point[1] + center_point[1]) #pdfsize[2] is the same as +width
|
| 262 |
+
else:
|
| 263 |
+
|
| 264 |
+
new_point = (new_point[0] + center_point[0], new_point[1]+ pdfsize[3] + center_point[1]) # pdfsize[3] is the same as +height
|
| 265 |
+
# new_point = (new_point[0] + center_point[0], new_point[1] + center_point[1])
|
| 266 |
+
return new_point
|
| 267 |
+
|
| 268 |
+
|
| 269 |
+
def rotate_polygon(polygon, angle, pdfrotation,pdfsize,center_point=(0, 0)):
|
| 270 |
+
"""Rotates the given polygon which consists of corners represented as (x,y)
|
| 271 |
+
around center_point (origin by default)
|
| 272 |
+
Rotation is counter-clockwise
|
| 273 |
+
Angle is in degrees
|
| 274 |
+
"""
|
| 275 |
+
rotated_polygon = []
|
| 276 |
+
for corner in polygon:
|
| 277 |
+
rotated_corner = rotate_point(corner, angle,pdfrotation,pdfsize, center_point)
|
| 278 |
+
rotated_polygon.append(rotated_corner)
|
| 279 |
+
return rotated_polygon
|
| 280 |
+
|
| 281 |
+
#create a dataframe containing color , count(how many times is this object found in the plan), area of 1 of these shapes, total area
|
| 282 |
+
#perimeter, totat perimeter, length, total length
|
| 283 |
+
#import pandas as pd
|
| 284 |
+
#SimilarAreaDictionary= pd.DataFrame(columns=['Guess','Color','Occurences','Area','Total Area','Perimeter','Total Perimeter','Length','Total Length','R','G','B'])
|
| 285 |
+
#loop 3la hatched areas and count the occurences of each shape w create a table bl hagat di
|
| 286 |
+
|
| 287 |
+
def generate_color_array(length):
|
| 288 |
+
colorRanges = []
|
| 289 |
+
while len(colorRanges) < length:
|
| 290 |
+
# Generate random RGB values
|
| 291 |
+
r = random.randint(0, 255)
|
| 292 |
+
g = random.randint(0, 255)
|
| 293 |
+
b = random.randint(0, 255)
|
| 294 |
+
# Ensure no duplicate colors
|
| 295 |
+
if (r, g, b) not in colorRanges:
|
| 296 |
+
colorRanges.append((r, g, b))
|
| 297 |
+
return colorRanges
|
| 298 |
+
|
| 299 |
+
def Create_DF(dxfpath):
|
| 300 |
+
|
| 301 |
+
hatched_areas = get_hatched_areas(dxfpath)
|
| 302 |
+
# SimilarAreaDictionary= pd.DataFrame(columns=['Area', 'Total Area', 'Perimeter', 'Total Perimeter', 'Occurences', 'Color'])
|
| 303 |
+
SimilarAreaDictionary= pd.DataFrame(columns=['Guess','Color','Occurences','Area','Total Area','Perimeter','Total Perimeter','Length','Total Length','Texts'])
|
| 304 |
+
|
| 305 |
+
colorRanges=generate_color_array(300)
|
| 306 |
+
TotalArea=0
|
| 307 |
+
TotalPerimeter=0
|
| 308 |
+
for i in range(len(hatched_areas)):
|
| 309 |
+
area = hatched_areas[i][1] # area
|
| 310 |
+
perimeter = hatched_areas[i][2] # perimeter
|
| 311 |
+
color = colorRanges[i]
|
| 312 |
+
TotalArea = area
|
| 313 |
+
TotalPerimeter = perimeter
|
| 314 |
+
tol=1
|
| 315 |
+
condition1 = (SimilarAreaDictionary['Area'] >= area - tol) & (SimilarAreaDictionary['Area'] <= area +tol)
|
| 316 |
+
condition2 = (SimilarAreaDictionary['Perimeter'] >= perimeter -tol) & (SimilarAreaDictionary['Perimeter'] <= perimeter +tol)
|
| 317 |
+
combined_condition = condition1 & condition2
|
| 318 |
+
|
| 319 |
+
if any(combined_condition):
|
| 320 |
+
index = np.where(combined_condition)[0][0]
|
| 321 |
+
SimilarAreaDictionary.at[index, 'Occurences'] += 1
|
| 322 |
+
SimilarAreaDictionary.at[index, 'Total Area'] = SimilarAreaDictionary.at[index, 'Area'] * SimilarAreaDictionary.at[index, 'Occurences']
|
| 323 |
+
SimilarAreaDictionary.at[index, 'Total Perimeter'] = SimilarAreaDictionary.at[index, 'Perimeter'] * SimilarAreaDictionary.at[index, 'Occurences']
|
| 324 |
+
else:
|
| 325 |
+
TotalArea=area
|
| 326 |
+
TotalPerimeter=perimeter
|
| 327 |
+
new_data = {'Area': area, 'Total Area': TotalArea ,'Perimeter': perimeter, 'Total Perimeter': TotalPerimeter, 'Occurences': 1, 'Color':color} #add color here and read color to insert in
|
| 328 |
+
SimilarAreaDictionary = pd.concat([SimilarAreaDictionary, pd.DataFrame([new_data])], ignore_index=True)
|
| 329 |
+
|
| 330 |
+
# print(SimilarAreaDictionary)
|
| 331 |
+
return SimilarAreaDictionary
|
| 332 |
+
"""### Draw on Image and PDF"""
|
| 333 |
+
|
| 334 |
+
def mainFunctionDrawImgPdf(datadoc,dxfpath, dxfratio,pdfpath,pdfname):
|
| 335 |
+
|
| 336 |
+
hatched_areas = get_hatched_areas(dxfpath)
|
| 337 |
+
img=pdftoimg(datadoc)
|
| 338 |
+
flipped_horizontal=flip(img)
|
| 339 |
+
allcnts = []
|
| 340 |
+
imgg = flipped_horizontal
|
| 341 |
+
imgtransparent1=imgg.copy()
|
| 342 |
+
doc = fitz.open('pdf',datadoc)
|
| 343 |
+
page2 = doc[0]
|
| 344 |
+
rotationOld=page2.rotation
|
| 345 |
+
derotationMatrix=page2.derotation_matrix
|
| 346 |
+
pix=page2.get_pixmap()
|
| 347 |
+
if page2.rotation!=0:
|
| 348 |
+
|
| 349 |
+
rotationangle = page2.rotation
|
| 350 |
+
page2.set_rotation(0)
|
| 351 |
+
ratio = pix.width/ img.shape[0]
|
| 352 |
+
else:
|
| 353 |
+
ratio = pix.width/ img.shape[1]
|
| 354 |
+
rotationangle = 270
|
| 355 |
+
|
| 356 |
+
allshapes=[]
|
| 357 |
+
# Iterate through each polygon in metric units
|
| 358 |
+
NewColors = []
|
| 359 |
+
SimilarAreaDictionary=Create_DF(dxfpath)
|
| 360 |
+
i=0
|
| 361 |
+
|
| 362 |
+
|
| 363 |
+
for polygon in hatched_areas:
|
| 364 |
+
cntPoints = []
|
| 365 |
+
cntPoints1 = []
|
| 366 |
+
shapee = []
|
| 367 |
+
# Convert each vertex from metric to pixel coordinates
|
| 368 |
+
for vertex in polygon[0]:
|
| 369 |
+
x = (vertex[0]) *dxfratio
|
| 370 |
+
y = (vertex[1]) *dxfratio
|
| 371 |
+
if rotationangle==0:
|
| 372 |
+
if y<0:
|
| 373 |
+
y=y*-1
|
| 374 |
+
cntPoints.append([int(x), int(y)])
|
| 375 |
+
cntPoints1.append([x, y])
|
| 376 |
+
|
| 377 |
+
|
| 378 |
+
|
| 379 |
+
for poi in np.array(cntPoints1):
|
| 380 |
+
x1, y1 = poi
|
| 381 |
+
p1 = fitz.Point(x1,y1)
|
| 382 |
+
# p1 = fitz.Point(x1,y1)
|
| 383 |
+
p1=p1*derotationMatrix
|
| 384 |
+
shapee.append([p1[0],p1[1]])
|
| 385 |
+
|
| 386 |
+
shapee=np.flip(shapee,1)
|
| 387 |
+
shapee=rotate_polygon(shapee,rotationangle,rotationOld,page2.mediabox)
|
| 388 |
+
|
| 389 |
+
|
| 390 |
+
tol=1
|
| 391 |
+
condition1 = (SimilarAreaDictionary['Area'] >= polygon[1] - tol) & (SimilarAreaDictionary['Area'] <= polygon[1] +tol)
|
| 392 |
+
condition2 = (SimilarAreaDictionary['Perimeter'] >= polygon[2] -tol) & (SimilarAreaDictionary['Perimeter'] <= polygon[2] +tol)
|
| 393 |
+
combined_condition = condition1 & condition2
|
| 394 |
+
|
| 395 |
+
if any(combined_condition):
|
| 396 |
+
|
| 397 |
+
index = np.where(combined_condition)[0][0]
|
| 398 |
+
# print(SimilarAreaDictionary.at[index, 'Color'])
|
| 399 |
+
NewColors=SimilarAreaDictionary.at[index, 'Color']
|
| 400 |
+
else:
|
| 401 |
+
NewColors=SimilarAreaDictionary.at[i, 'Color']
|
| 402 |
+
|
| 403 |
+
# cv2.drawContours(imgg, [np.array(cntPoints)], -1, (NewColors), thickness=2)
|
| 404 |
+
cv2.drawContours(imgg, [np.array(cntPoints)], -1, ([NewColors[2],NewColors[1],NewColors[0]]), thickness=-1)
|
| 405 |
+
annot11 = page2.add_polygon_annot( points=shapee) # 'Polygon'
|
| 406 |
+
annot11.set_border(width=0.2)
|
| 407 |
+
annot11.set_colors(stroke=(int(NewColors[0])/255,int(NewColors[1])/255,int(NewColors[2])/255), fill= (int(NewColors[0])/255,int(NewColors[1])/255,int(NewColors[2])/255) )
|
| 408 |
+
annot11.set_info(content='Area='+str(polygon[1])+' m^2',subject='ADR Team')
|
| 409 |
+
annot11.set_opacity(0.8)
|
| 410 |
+
# annot.set_line_ends(fitz.PDF_ANNOT_LE_DIAMOND, fitz.PDF_ANNOT_LE_CIRCLE)
|
| 411 |
+
annot11.update()
|
| 412 |
+
|
| 413 |
+
|
| 414 |
+
|
| 415 |
+
annot12 = page2.add_polygon_annot( points=shapee) # 'Polygon'
|
| 416 |
+
annot12.set_border(width=0.2)
|
| 417 |
+
annot12.set_colors(stroke=(int(NewColors[0])/255,int(NewColors[1])/255,int(NewColors[2])/255))
|
| 418 |
+
annot12.set_info(content='Perimeter='+str(polygon[2])+' m',subject='ADR Team')
|
| 419 |
+
annot12.set_opacity(0.8)
|
| 420 |
+
# annot.set_line_ends(fitz.PDF_ANNOT_LE_DIAMOND, fitz.PDF_ANNOT_LE_CIRCLE)
|
| 421 |
+
annot12.update()
|
| 422 |
+
i += 1
|
| 423 |
+
alpha = 0.8 # Transparency factor.
|
| 424 |
+
|
| 425 |
+
page2.set_rotation(rotationOld)
|
| 426 |
+
Correct_img=flip(imgg)
|
| 427 |
+
|
| 428 |
+
image_new1 = cv2.addWeighted(Correct_img, alpha, img, 1 - alpha, 0)
|
| 429 |
+
SimilarAreaDictionary = SimilarAreaDictionary.fillna(' ')
|
| 430 |
+
gc,spreadsheet_service,spreadsheetId, spreadsheet_url , namepathArr=google_sheet_Legend.legendGoogleSheets(SimilarAreaDictionary , pdfname,pdfpath)
|
| 431 |
+
|
| 432 |
+
return doc,image_new1, SimilarAreaDictionary ,spreadsheetId, spreadsheet_url , namepathArr
|
| 433 |
+
|