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Update deploying_3_3.py
Browse files- deploying_3_3.py +431 -53
deploying_3_3.py
CHANGED
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@@ -238,8 +238,335 @@ def flip(img):
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flipped_horizontal = cv2.flip(rotated_image, 1)
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return flipped_horizontal
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"""### Hatched areas"""
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-
def get_hatched_areas(filename,FinalRatio):
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doc = ezdxf.readfile(filename)
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doc.header['$MEASUREMENT'] = 1
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msp = doc.modelspace()
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width = maxx - minx
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height = maxy - miny
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-
if poly.area > 0 and (height > 0.
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area1 = round(poly.area, 3)
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perimeter = round(poly.length, 3)
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# Append POLYLINE if vertices don't already exist
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if not vertices_exist(hatched_areas, vertices, threshold):
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# print(f"Appending POLYLINE with area: {area1} and perimeter: {perimeter}")
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-
hatched_areas.append([vertices, area1, perimeter])
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elif str(path.type) == 'BoundaryPathType.EDGE':
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# Handle EDGE type HATCH
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width = maxx - minx
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height = maxy - miny
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-
if poly.area > 0 and (height > 0.
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area1 = round(poly.area, 3)
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perimeter = round(poly.length, 3)
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# Append EDGE if vertices don't already exist
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if not vertices_exist(hatched_areas, vert, threshold):
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# print(f"Appending EDGE with area: {area1} and perimeter: {perimeter}")
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hatched_areas.append([vert, area1, perimeter])
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else:
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print(f"Unhandled path type: {path.type}")
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@@ -306,9 +635,10 @@ def get_hatched_areas(filename,FinalRatio):
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width = maxx - minx
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height = maxy - miny
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-
if (poly.area > 0 and (height > 0.
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if not vertices_exist(hatched_areas, vertices, threshold):#if not vertices_exist(hatched_areas, vertices):
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-
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@@ -334,7 +664,7 @@ def get_hatched_areas(filename,FinalRatio):
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height = maxy - miny
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# Check area and size constraints
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if poly.area > 0 and (height > 0.
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area1 = round(poly.area, 3)
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perimeter = round(poly.length, 3)
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@@ -343,7 +673,8 @@ def get_hatched_areas(filename,FinalRatio):
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# flag = 1
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# if flag == 0:
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if not vertices_exist(hatched_areas, vertices, threshold):#if not vertices_exist(hatched_areas, vertices):
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-
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@@ -366,14 +697,13 @@ def get_hatched_areas(filename,FinalRatio):
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width = maxx - minx
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height = maxy - miny
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if (poly.area > 0 and (height > 0.
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area1 = round(poly.area,3)
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perimeter = round (poly.length,3)
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-
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-
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-
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-
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hatched_areas.append([vertices,area1,perimeter])
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elif entity.dxftype() == 'SPLINE':
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spline_entity = entity
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@@ -391,11 +721,12 @@ def get_hatched_areas(filename,FinalRatio):
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height = maxy - miny
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if (poly.area > 0 and (height > 0.
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area1 = round(poly.area,3)
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perimeter = round (poly.length,3)
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if not vertices_exist(hatched_areas, vertices):
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-
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sorted_data = sorted(hatched_areas, key=lambda x: x[1])
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return sorted_data
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@@ -443,50 +774,36 @@ def rotate_polygon(polygon, angle, pdfrotation,width,height,center_point=(0, 0))
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#SimilarAreaDictionary= pd.DataFrame(columns=['Guess','Color','Occurences','Area','Total Area','Perimeter','Total Perimeter','Length','Total Length','R','G','B'])
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#loop 3la hatched areas and count the occurences of each shape w create a table bl hagat di
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def generate_color_array(length):
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colorRanges = []
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while len(colorRanges) < length:
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# Generate random RGB values
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r = random.randint(0, 255)
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g = random.randint(0, 255)
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b = random.randint(0, 255)
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# Ensure no duplicate colors
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if (r, g, b) not in colorRanges:
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colorRanges.append((r, g, b))
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return colorRanges
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-
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-
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-
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-
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-
def Create_DF(dxfpath,datadoc):
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FinalRatio= RetriveRatio(datadoc,dxfpath)
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hatched_areas = get_hatched_areas(dxfpath,FinalRatio)
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# print('hatched_areas',hatched_areas)
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# hatched_areas=remove_duplicate_shapes(new_hatched_areas)
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# SimilarAreaDictionary= pd.DataFrame(columns=['Area', 'Total Area', 'Perimeter', 'Total Perimeter', 'Occurences', 'Color'])
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SimilarAreaDictionary= pd.DataFrame(columns=['Guess','Color','Occurences','Area','Total Area','Perimeter','Total Perimeter','Length','Total Length','Texts','Comments'])
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colorRanges2=generate_color_array(30000)
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colorRanges = [[255, 0, 0], [0, 0, 255], [0, 255, 255], [0, 64, 0], [255, 204, 0], [255, 128, 64], [255, 0, 128], [255, 128, 192], [128, 128, 255], [128, 64, 0],[0, 255, 0],[0, 200, 0],[255, 128, 255], [128, 0, 255], [0, 128, 192], [128, 0, 128],[128, 0, 0], [0, 128, 255], [149, 1, 70], [255, 182, 128], [222, 48, 71], [240, 0, 112], [255, 0, 255], [192, 46, 65], [0, 0, 128],[0, 128, 64],[255, 255, 0], [128, 0, 80], [255, 255, 128], [90, 255, 140],[255, 200, 20],[91, 16, 51], [90, 105, 138], [114, 10, 138], [36, 82, 78], [225, 105, 190], [108, 150, 170], [11, 35, 75], [42, 176, 170], [255, 176, 170], [209, 151, 15],[81, 27, 85], [226, 106, 122], [67, 119, 149], [159, 179, 140], [159, 179, 30],[255, 85, 198], [255, 27, 85], [188, 158, 8],[140, 188, 120], [59, 61, 52], [65, 81, 21], [212, 255, 174], [15, 164, 90],[41, 217, 245], [213, 23, 182], [11, 85, 169], [78, 153, 239], [0, 66, 141],[64, 98, 232], [140, 112, 255], [57, 33, 154], [194, 117, 252], [116, 92, 135], [74, 43, 98], [188, 13, 123], [129, 58, 91], [255, 128, 100], [171, 122, 145], [255, 98, 98], [222, 48, 77]]
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colorUsed=[]
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TotalArea=0
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TotalPerimeter=0
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for
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area =
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perimeter =
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if(i < len(colorRanges)):
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-
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-
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else:
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-
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TotalArea = area
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TotalPerimeter = perimeter
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tol=
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condition1 = (SimilarAreaDictionary['Area'] >= area - tol) & (SimilarAreaDictionary['Area'] <= area +tol)
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condition2 = (SimilarAreaDictionary['Perimeter'] >= perimeter -tol) & (SimilarAreaDictionary['Perimeter'] <= perimeter +tol)
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combined_condition = condition1 & condition2
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else:
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TotalArea=area
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TotalPerimeter=perimeter
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new_data = {'Area': area, 'Total Area': TotalArea ,'Perimeter': perimeter, 'Total Perimeter': TotalPerimeter, 'Occurences': 1, 'Color':
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SimilarAreaDictionary = pd.concat([SimilarAreaDictionary, pd.DataFrame([new_data])], ignore_index=True)
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# print(SimilarAreaDictionary)
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def mainFunctionDrawImgPdf(datadoc,dxfpath, dxfratio,pdfpath=0,pdfname=0):
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FinalRatio= RetriveRatio(datadoc,dxfpath)
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hatched_areas = get_hatched_areas(dxfpath,FinalRatio)
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# hatched_areas=remove_duplicate_shapes(new_hatched_areas)
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img=pdftoimg(datadoc)
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@@ -534,17 +851,25 @@ def mainFunctionDrawImgPdf(datadoc,dxfpath, dxfratio,pdfpath=0,pdfname=0):
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ratio = pix.width/ img.shape[1]
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rotationangle = 270
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allshapes=[]
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# Iterate through each polygon in metric units
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NewColors = []
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SimilarAreaDictionary=Create_DF(dxfpath,datadoc)
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i=0
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for polygon in hatched_areas:
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cntPoints = []
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cntPoints1 = []
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shapee = []
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# Convert each vertex from metric to pixel coordinates
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for vertex in polygon[0]:
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x = (vertex[0]) *dxfratio
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cntPoints.append([int(x), int(y)])
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cntPoints1.append([x, y])
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for poi in np.array(cntPoints1):
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x1, y1 = poi
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p1 = fitz.Point(x1,y1)
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shapee=np.flip(shapee,1)
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shapee=rotate_polygon(shapee,rotationangle,rotationOld,width,height)
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tol=
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condition1 = (SimilarAreaDictionary['Area'] >= polygon[1] - tol) & (SimilarAreaDictionary['Area'] <= polygon[1] +tol)
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condition2 = (SimilarAreaDictionary['Perimeter'] >= polygon[2] -tol) & (SimilarAreaDictionary['Perimeter'] <= polygon[2] +tol)
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combined_condition = condition1 & condition2
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if any(combined_condition):
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-
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index = np.where(combined_condition)[0][0]
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# print(SimilarAreaDictionary.at[index, 'Color'])
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NewColors=SimilarAreaDictionary.at[index, 'Color']
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else:
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NewColors=SimilarAreaDictionary.at[i, 'Color']
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|
|
|
|
|
| 580 |
# cv2.drawContours(imgg, [np.array(cntPoints)], -1, (NewColors), thickness=2)
|
| 581 |
cv2.drawContours(imgg, [np.array(cntPoints)], -1, ([NewColors[2],NewColors[1],NewColors[0]]), thickness=-1)
|
| 582 |
annot11 = page2.add_polygon_annot( points=shapee) # 'Polygon'
|
|
|
|
| 238 |
flipped_horizontal = cv2.flip(rotated_image, 1)
|
| 239 |
return flipped_horizontal
|
| 240 |
|
| 241 |
+
|
| 242 |
+
|
| 243 |
+
def aci_to_rgb(aci):
|
| 244 |
+
aci_rgb_map = {
|
| 245 |
+
0: (0, 0, 0),
|
| 246 |
+
1: (255, 0, 0),
|
| 247 |
+
2: (255, 255, 0),
|
| 248 |
+
3: (0, 255, 0),
|
| 249 |
+
4: (0, 255, 255),
|
| 250 |
+
5: (0, 0, 255),
|
| 251 |
+
6: (255, 0, 255),
|
| 252 |
+
7: (255, 255, 255),
|
| 253 |
+
8: (65, 65, 65),
|
| 254 |
+
9: (128, 128, 128),
|
| 255 |
+
10: (255, 0, 0),
|
| 256 |
+
11: (255, 170, 170),
|
| 257 |
+
12: (189, 0, 0),
|
| 258 |
+
13: (189, 126, 126),
|
| 259 |
+
14: (129, 0, 0),
|
| 260 |
+
15: (129, 86, 86),
|
| 261 |
+
16: (104, 0, 0),
|
| 262 |
+
17: (104, 69, 69),
|
| 263 |
+
18: (79, 0, 0),
|
| 264 |
+
19: (79, 53, 53),
|
| 265 |
+
20: (255, 63, 0),
|
| 266 |
+
21: (255, 191, 170),
|
| 267 |
+
22: (189, 46, 0),
|
| 268 |
+
23: (189, 141, 126),
|
| 269 |
+
24: (129, 31, 0),
|
| 270 |
+
25: (129, 96, 86),
|
| 271 |
+
26: (104, 25, 0),
|
| 272 |
+
27: (104, 78, 69),
|
| 273 |
+
28: (79, 19, 0),
|
| 274 |
+
29: (79, 59, 53),
|
| 275 |
+
30: (255, 127, 0),
|
| 276 |
+
31: (255, 212, 170),
|
| 277 |
+
32: (189, 94, 0),
|
| 278 |
+
33: (189, 157, 126),
|
| 279 |
+
34: (129, 64, 0),
|
| 280 |
+
35: (129, 107, 86),
|
| 281 |
+
36: (104, 52, 0),
|
| 282 |
+
37: (104, 86, 69),
|
| 283 |
+
38: (79, 39, 0),
|
| 284 |
+
39: (79, 66, 53),
|
| 285 |
+
40: (255, 191, 0),
|
| 286 |
+
41: (255, 234, 170),
|
| 287 |
+
42: (189, 141, 0),
|
| 288 |
+
43: (189, 173, 126),
|
| 289 |
+
44: (129, 96, 0),
|
| 290 |
+
45: (129, 118, 86),
|
| 291 |
+
46: (104, 78, 0),
|
| 292 |
+
47: (104, 95, 69),
|
| 293 |
+
48: (79, 59, 0),
|
| 294 |
+
49: (79, 73, 53),
|
| 295 |
+
50: (255, 255, 0),
|
| 296 |
+
51: (255, 255, 170),
|
| 297 |
+
52: (189, 189, 0),
|
| 298 |
+
53: (189, 189, 126),
|
| 299 |
+
54: (129, 129, 0),
|
| 300 |
+
55: (129, 129, 86),
|
| 301 |
+
56: (104, 104, 0),
|
| 302 |
+
57: (104, 104, 69),
|
| 303 |
+
58: (79, 79, 0),
|
| 304 |
+
59: (79, 79, 53),
|
| 305 |
+
60: (191, 255, 0),
|
| 306 |
+
61: (234, 255, 170),
|
| 307 |
+
62: (141, 189, 0),
|
| 308 |
+
63: (173, 189, 126),
|
| 309 |
+
64: (96, 129, 0),
|
| 310 |
+
65: (118, 129, 86),
|
| 311 |
+
66: (78, 104, 0),
|
| 312 |
+
67: (95, 104, 69),
|
| 313 |
+
68: (59, 79, 0),
|
| 314 |
+
69: (73, 79, 53),
|
| 315 |
+
70: (127, 255, 0),
|
| 316 |
+
71: (212, 255, 170),
|
| 317 |
+
72: (94, 189, 0),
|
| 318 |
+
73: (157, 189, 126),
|
| 319 |
+
74: (64, 129, 0),
|
| 320 |
+
75: (107, 129, 86),
|
| 321 |
+
76: (52, 104, 0),
|
| 322 |
+
77: (86, 104, 69),
|
| 323 |
+
78: (39, 79, 0),
|
| 324 |
+
79: (66, 79, 53),
|
| 325 |
+
80: (63, 255, 0),
|
| 326 |
+
81: (191, 255, 170),
|
| 327 |
+
82: (46, 189, 0),
|
| 328 |
+
83: (141, 189, 126),
|
| 329 |
+
84: (31, 129, 0),
|
| 330 |
+
85: (96, 129, 86),
|
| 331 |
+
86: (25, 104, 0),
|
| 332 |
+
87: (78, 104, 69),
|
| 333 |
+
88: (19, 79, 0),
|
| 334 |
+
89: (59, 79, 53),
|
| 335 |
+
90: (0, 255, 0),
|
| 336 |
+
91: (170, 255, 170),
|
| 337 |
+
92: (0, 189, 0),
|
| 338 |
+
93: (126, 189, 126),
|
| 339 |
+
94: (0, 129, 0),
|
| 340 |
+
95: (86, 129, 86),
|
| 341 |
+
96: (0, 104, 0),
|
| 342 |
+
97: (69, 104, 69),
|
| 343 |
+
98: (0, 79, 0),
|
| 344 |
+
99: (53, 79, 53),
|
| 345 |
+
100: (0, 255, 63),
|
| 346 |
+
101: (170, 255, 191),
|
| 347 |
+
102: (0, 189, 46),
|
| 348 |
+
103: (126, 189, 141),
|
| 349 |
+
104: (0, 129, 31),
|
| 350 |
+
105: (86, 129, 96),
|
| 351 |
+
106: (0, 104, 25),
|
| 352 |
+
107: (69, 104, 78),
|
| 353 |
+
108: (0, 79, 19),
|
| 354 |
+
109: (53, 79, 59),
|
| 355 |
+
110: (0, 255, 127),
|
| 356 |
+
111: (170, 255, 212),
|
| 357 |
+
112: (0, 189, 94),
|
| 358 |
+
113: (126, 189, 157),
|
| 359 |
+
114: (0, 129, 64),
|
| 360 |
+
115: (86, 129, 107),
|
| 361 |
+
116: (0, 104, 52),
|
| 362 |
+
117: (69, 104, 86),
|
| 363 |
+
118: (0, 79, 39),
|
| 364 |
+
119: (53, 79, 66),
|
| 365 |
+
120: (0, 255, 191),
|
| 366 |
+
121: (170, 255, 234),
|
| 367 |
+
122: (0, 189, 141),
|
| 368 |
+
123: (126, 189, 173),
|
| 369 |
+
124: (0, 129, 96),
|
| 370 |
+
125: (86, 129, 118),
|
| 371 |
+
126: (0, 104, 78),
|
| 372 |
+
127: (69, 104, 95),
|
| 373 |
+
128: (0, 79, 59),
|
| 374 |
+
129: (53, 79, 73),
|
| 375 |
+
130: (0, 255, 255),
|
| 376 |
+
131: (170, 255, 255),
|
| 377 |
+
132: (0, 189, 189),
|
| 378 |
+
133: (126, 189, 189),
|
| 379 |
+
134: (0, 129, 129),
|
| 380 |
+
135: (86, 129, 129),
|
| 381 |
+
136: (0, 104, 104),
|
| 382 |
+
137: (69, 104, 104),
|
| 383 |
+
138: (0, 79, 79),
|
| 384 |
+
139: (53, 79, 79),
|
| 385 |
+
140: (0, 191, 255),
|
| 386 |
+
141: (170, 234, 255),
|
| 387 |
+
142: (0, 141, 189),
|
| 388 |
+
143: (126, 173, 189),
|
| 389 |
+
144: (0, 96, 129),
|
| 390 |
+
145: (86, 118, 129),
|
| 391 |
+
146: (0, 78, 104),
|
| 392 |
+
147: (69, 95, 104),
|
| 393 |
+
148: (0, 59, 79),
|
| 394 |
+
149: (53, 73, 79),
|
| 395 |
+
150: (0, 127, 255),
|
| 396 |
+
151: (170, 212, 255),
|
| 397 |
+
152: (0, 94, 189),
|
| 398 |
+
153: (126, 157, 189),
|
| 399 |
+
154: (0, 64, 129),
|
| 400 |
+
155: (86, 107, 129),
|
| 401 |
+
156: (0, 52, 104),
|
| 402 |
+
157: (69, 86, 104),
|
| 403 |
+
158: (0, 39, 79),
|
| 404 |
+
159: (53, 66, 79),
|
| 405 |
+
160: (0, 63, 255),
|
| 406 |
+
161: (170, 191, 255),
|
| 407 |
+
162: (0, 46, 189),
|
| 408 |
+
163: (126, 141, 189),
|
| 409 |
+
164: (0, 31, 129),
|
| 410 |
+
165: (86, 96, 129),
|
| 411 |
+
166: (0, 25, 104),
|
| 412 |
+
167: (69, 78, 104),
|
| 413 |
+
168: (0, 19, 79),
|
| 414 |
+
169: (53, 59, 79),
|
| 415 |
+
170: (0, 0, 255),
|
| 416 |
+
171: (170, 170, 255),
|
| 417 |
+
172: (0, 0, 189),
|
| 418 |
+
173: (126, 126, 189),
|
| 419 |
+
174: (0, 0, 129),
|
| 420 |
+
175: (86, 86, 129),
|
| 421 |
+
176: (0, 0, 104),
|
| 422 |
+
177: (69, 69, 104),
|
| 423 |
+
178: (0, 0, 79),
|
| 424 |
+
179: (53, 53, 79),
|
| 425 |
+
180: (63, 0, 255),
|
| 426 |
+
181: (191, 170, 255),
|
| 427 |
+
182: (46, 0, 189),
|
| 428 |
+
183: (141, 126, 189),
|
| 429 |
+
184: (31, 0, 129),
|
| 430 |
+
185: (96, 86, 129),
|
| 431 |
+
186: (25, 0, 104),
|
| 432 |
+
187: (78, 69, 104),
|
| 433 |
+
188: (19, 0, 79),
|
| 434 |
+
189: (59, 53, 79),
|
| 435 |
+
190: (127, 0, 255),
|
| 436 |
+
191: (212, 170, 255),
|
| 437 |
+
192: (94, 0, 189),
|
| 438 |
+
193: (157, 126, 189),
|
| 439 |
+
194: (64, 0, 129),
|
| 440 |
+
195: (107, 86, 129),
|
| 441 |
+
196: (52, 0, 104),
|
| 442 |
+
197: (86, 69, 104),
|
| 443 |
+
198: (39, 0, 79),
|
| 444 |
+
199: (66, 53, 79),
|
| 445 |
+
200: (191, 0, 255),
|
| 446 |
+
201: (234, 170, 255),
|
| 447 |
+
202: (141, 0, 189),
|
| 448 |
+
203: (173, 126, 189),
|
| 449 |
+
204: (96, 0, 129),
|
| 450 |
+
205: (118, 86, 129),
|
| 451 |
+
206: (78, 0, 104),
|
| 452 |
+
207: (95, 69, 104),
|
| 453 |
+
208: (59, 0, 79),
|
| 454 |
+
209: (73, 53, 79),
|
| 455 |
+
210: (255, 0, 255),
|
| 456 |
+
211: (255, 170, 255),
|
| 457 |
+
212: (189, 0, 189),
|
| 458 |
+
213: (189, 126, 189),
|
| 459 |
+
214: (129, 0, 129),
|
| 460 |
+
215: (129, 86, 129),
|
| 461 |
+
216: (104, 0, 104),
|
| 462 |
+
217: (104, 69, 104),
|
| 463 |
+
218: (79, 0, 79),
|
| 464 |
+
219: (79, 53, 79),
|
| 465 |
+
220: (255, 0, 191),
|
| 466 |
+
221: (255, 170, 234),
|
| 467 |
+
222: (189, 0, 141),
|
| 468 |
+
223: (189, 126, 173),
|
| 469 |
+
224: (129, 0, 96),
|
| 470 |
+
225: (129, 86, 118),
|
| 471 |
+
226: (104, 0, 78),
|
| 472 |
+
227: (104, 69, 95),
|
| 473 |
+
228: (79, 0, 59),
|
| 474 |
+
229: (79, 53, 73),
|
| 475 |
+
230: (255, 0, 127),
|
| 476 |
+
231: (255, 170, 212),
|
| 477 |
+
232: (189, 0, 94),
|
| 478 |
+
233: (189, 126, 157),
|
| 479 |
+
234: (129, 0, 64),
|
| 480 |
+
235: (129, 86, 107),
|
| 481 |
+
236: (104, 0, 52),
|
| 482 |
+
237: (104, 69, 86),
|
| 483 |
+
238: (79, 0, 39),
|
| 484 |
+
239: (79, 53, 66),
|
| 485 |
+
240: (255, 0, 63),
|
| 486 |
+
241: (255, 170, 191),
|
| 487 |
+
242: (189, 0, 46),
|
| 488 |
+
243: (189, 126, 141),
|
| 489 |
+
244: (129, 0, 31),
|
| 490 |
+
245: (129, 86, 96),
|
| 491 |
+
246: (104, 0, 25),
|
| 492 |
+
247: (104, 69, 78),
|
| 493 |
+
248: (79, 0, 19),
|
| 494 |
+
249: (79, 53, 59),
|
| 495 |
+
250: (51, 51, 51),
|
| 496 |
+
251: (80, 80, 80),
|
| 497 |
+
252: (105, 105, 105),
|
| 498 |
+
253: (130, 130, 130),
|
| 499 |
+
254: (190, 190, 190),
|
| 500 |
+
255: (255, 255, 255)
|
| 501 |
+
}
|
| 502 |
+
|
| 503 |
+
# Default to white if index is invalid or not found
|
| 504 |
+
return aci_rgb_map.get(aci, (255, 255, 255))
|
| 505 |
+
|
| 506 |
+
|
| 507 |
+
|
| 508 |
+
def int_to_rgb(color_int):
|
| 509 |
+
"""Convert an integer to an (R, G, B) tuple."""
|
| 510 |
+
r = (color_int >> 16) & 255
|
| 511 |
+
g = (color_int >> 8) & 255
|
| 512 |
+
b = color_int & 255
|
| 513 |
+
return (r, g, b)
|
| 514 |
+
|
| 515 |
+
|
| 516 |
+
|
| 517 |
+
def get_hatch_color(entity):
|
| 518 |
+
# Check if the entity has a "true color" set
|
| 519 |
+
if entity.dxf.hasattr('true_color'):
|
| 520 |
+
true_color = entity.dxf.true_color
|
| 521 |
+
rgb_color = int_to_rgb(true_color) # Convert integer to (R, G, B)
|
| 522 |
+
print(f"True color detected (RGB): {rgb_color}")
|
| 523 |
+
return rgb_color
|
| 524 |
+
|
| 525 |
+
color_index = entity.dxf.color
|
| 526 |
+
print("color_index = ", color_index)
|
| 527 |
+
|
| 528 |
+
# Check if the color is set to ByLayer or ByBlock
|
| 529 |
+
if color_index == 0: # ByLayer color
|
| 530 |
+
print("Color is ByLayer, checking layer color...")
|
| 531 |
+
layer_name = entity.dxf.layer
|
| 532 |
+
layer = entity.doc.layers.get(layer_name)
|
| 533 |
+
|
| 534 |
+
if layer: # Ensure layer exists
|
| 535 |
+
layer_color_index = layer.dxf.color
|
| 536 |
+
print(f"Layer '{layer_name}' Color Index = {layer_color_index}")
|
| 537 |
+
return aci_to_rgb(layer_color_index) # Use custom aci_to_rgb function
|
| 538 |
+
else:
|
| 539 |
+
print(f"Layer '{layer_name}' not found, defaulting to white.")
|
| 540 |
+
return (255, 255, 255) # Default to white if layer not found
|
| 541 |
+
|
| 542 |
+
elif color_index == 256: # ByBlock color
|
| 543 |
+
print("Color is ByBlock, checking block color or defaulting to white.")
|
| 544 |
+
block_color = (255, 255, 255) # White as default
|
| 545 |
+
|
| 546 |
+
# Check if the entity is inside a block reference and inherit its color
|
| 547 |
+
if hasattr(entity, 'block'): # Check if the entity belongs to a block
|
| 548 |
+
block_ref = entity.block
|
| 549 |
+
if block_ref.dxf.hasattr('color'):
|
| 550 |
+
block_color = aci_to_rgb(block_ref.dxf.color)
|
| 551 |
+
print(f"Block reference color found: {block_color}")
|
| 552 |
+
else:
|
| 553 |
+
print("Block has no color attribute, using default (white).")
|
| 554 |
+
return block_color
|
| 555 |
+
|
| 556 |
+
# Otherwise, convert the ACI color to RGB
|
| 557 |
+
print(f"Entity Color Index = {color_index}")
|
| 558 |
+
if 1 <= color_index <= 255:
|
| 559 |
+
rgb_color = aci_to_rgb(color_index) # Use custom aci_to_rgb function
|
| 560 |
+
print(f"Converted RGB = {rgb_color}")
|
| 561 |
+
return rgb_color
|
| 562 |
+
|
| 563 |
+
# Default to white if color index is out of bounds or invalid
|
| 564 |
+
print("Invalid or unhandled color index, defaulting to white.")
|
| 565 |
+
return (255, 255, 255)
|
| 566 |
+
|
| 567 |
+
|
| 568 |
"""### Hatched areas"""
|
| 569 |
+
def get_hatched_areas(datadoc,filename,FinalRatio,rotationangle):
|
| 570 |
doc = ezdxf.readfile(filename)
|
| 571 |
doc.header['$MEASUREMENT'] = 1
|
| 572 |
msp = doc.modelspace()
|
|
|
|
| 589 |
width = maxx - minx
|
| 590 |
height = maxy - miny
|
| 591 |
|
| 592 |
+
if (poly.area > 0.9 and (height > 0.7 and width > 0.7)):
|
| 593 |
area1 = round(poly.area, 3)
|
| 594 |
perimeter = round(poly.length, 3)
|
| 595 |
|
| 596 |
# Append POLYLINE if vertices don't already exist
|
| 597 |
if not vertices_exist(hatched_areas, vertices, threshold):
|
| 598 |
+
rgb_color = get_hatch_color(entity)
|
| 599 |
# print(f"Appending POLYLINE with area: {area1} and perimeter: {perimeter}")
|
| 600 |
+
hatched_areas.append([vertices, area1, perimeter, rgb_color])
|
| 601 |
|
| 602 |
elif str(path.type) == 'BoundaryPathType.EDGE':
|
| 603 |
# Handle EDGE type HATCH
|
|
|
|
| 613 |
width = maxx - minx
|
| 614 |
height = maxy - miny
|
| 615 |
|
| 616 |
+
if (poly.area > 0.9 and (height > 0.7 and width > 0.7)):
|
| 617 |
area1 = round(poly.area, 3)
|
| 618 |
perimeter = round(poly.length, 3)
|
| 619 |
|
| 620 |
# Append EDGE if vertices don't already exist
|
| 621 |
if not vertices_exist(hatched_areas, vert, threshold):
|
| 622 |
+
rgb_color = get_hatch_color(entity)
|
| 623 |
# print(f"Appending EDGE with area: {area1} and perimeter: {perimeter}")
|
| 624 |
+
hatched_areas.append([vert, area1, perimeter, rgb_color])
|
| 625 |
|
| 626 |
else:
|
| 627 |
print(f"Unhandled path type: {path.type}")
|
|
|
|
| 635 |
width = maxx - minx
|
| 636 |
height = maxy - miny
|
| 637 |
|
| 638 |
+
if (poly.area > 0.9 and (height > 0.7 and width > 0.7)):
|
| 639 |
if not vertices_exist(hatched_areas, vertices, threshold):#if not vertices_exist(hatched_areas, vertices):
|
| 640 |
+
rgb_color = get_hatch_color(entity)
|
| 641 |
+
hatched_areas.append([vertices,poly.area,poly.length,rgb_color])
|
| 642 |
|
| 643 |
|
| 644 |
|
|
|
|
| 664 |
height = maxy - miny
|
| 665 |
|
| 666 |
# Check area and size constraints
|
| 667 |
+
if (poly.area > 0.9 and (height > 0.7 and width > 0.7)):
|
| 668 |
area1 = round(poly.area, 3)
|
| 669 |
perimeter = round(poly.length, 3)
|
| 670 |
|
|
|
|
| 673 |
# flag = 1
|
| 674 |
# if flag == 0:
|
| 675 |
if not vertices_exist(hatched_areas, vertices, threshold):#if not vertices_exist(hatched_areas, vertices):
|
| 676 |
+
rgb_color = get_hatch_color(entity)
|
| 677 |
+
hatched_areas.append([vertices, area1, perimeter, rgb_color])
|
| 678 |
|
| 679 |
|
| 680 |
|
|
|
|
| 697 |
width = maxx - minx
|
| 698 |
height = maxy - miny
|
| 699 |
|
| 700 |
+
if (poly.area > 0.9 and (height > 0.7 and width > 0.7)):
|
| 701 |
area1 = round(poly.area,3)
|
| 702 |
perimeter = round (poly.length,3)
|
| 703 |
+
if not vertices_exist(hatched_areas, vertices, threshold):#if not vertices_exist(hatched_areas, vertices):
|
| 704 |
+
rgb_color = get_hatch_color(entity)
|
| 705 |
+
hatched_areas.append([vertices, area1, perimeter,rgb_color])
|
| 706 |
+
|
|
|
|
| 707 |
|
| 708 |
elif entity.dxftype() == 'SPLINE':
|
| 709 |
spline_entity = entity
|
|
|
|
| 721 |
height = maxy - miny
|
| 722 |
|
| 723 |
|
| 724 |
+
if (poly.area > 0.9 and (height > 0.7 and width > 0.7)):
|
| 725 |
area1 = round(poly.area,3)
|
| 726 |
perimeter = round (poly.length,3)
|
| 727 |
+
if not vertices_exist(hatched_areas, vertices, threshold):
|
| 728 |
+
rgb_color = get_hatch_color(entity)
|
| 729 |
+
hatched_areas.append([vertices,area1,perimeter,rgb_color])
|
| 730 |
|
| 731 |
sorted_data = sorted(hatched_areas, key=lambda x: x[1])
|
| 732 |
return sorted_data
|
|
|
|
| 774 |
#SimilarAreaDictionary= pd.DataFrame(columns=['Guess','Color','Occurences','Area','Total Area','Perimeter','Total Perimeter','Length','Total Length','R','G','B'])
|
| 775 |
#loop 3la hatched areas and count the occurences of each shape w create a table bl hagat di
|
| 776 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 777 |
|
| 778 |
+
def Create_DF(dxfpath,datadoc,hatched_areas):
|
| 779 |
|
| 780 |
FinalRatio= RetriveRatio(datadoc,dxfpath)
|
| 781 |
|
| 782 |
+
# hatched_areas = get_hatched_areas(dxfpath,FinalRatio)
|
| 783 |
# print('hatched_areas',hatched_areas)
|
| 784 |
# hatched_areas=remove_duplicate_shapes(new_hatched_areas)
|
| 785 |
|
| 786 |
# SimilarAreaDictionary= pd.DataFrame(columns=['Area', 'Total Area', 'Perimeter', 'Total Perimeter', 'Occurences', 'Color'])
|
| 787 |
SimilarAreaDictionary= pd.DataFrame(columns=['Guess','Color','Occurences','Area','Total Area','Perimeter','Total Perimeter','Length','Total Length','Texts','Comments'])
|
| 788 |
|
| 789 |
+
# colorRanges2=generate_color_array(30000)
|
| 790 |
+
# colorRanges = [[255, 0, 0], [0, 0, 255], [0, 255, 255], [0, 64, 0], [255, 204, 0], [255, 128, 64], [255, 0, 128], [255, 128, 192], [128, 128, 255], [128, 64, 0],[0, 255, 0],[0, 200, 0],[255, 128, 255], [128, 0, 255], [0, 128, 192], [128, 0, 128],[128, 0, 0], [0, 128, 255], [149, 1, 70], [255, 182, 128], [222, 48, 71], [240, 0, 112], [255, 0, 255], [192, 46, 65], [0, 0, 128],[0, 128, 64],[255, 255, 0], [128, 0, 80], [255, 255, 128], [90, 255, 140],[255, 200, 20],[91, 16, 51], [90, 105, 138], [114, 10, 138], [36, 82, 78], [225, 105, 190], [108, 150, 170], [11, 35, 75], [42, 176, 170], [255, 176, 170], [209, 151, 15],[81, 27, 85], [226, 106, 122], [67, 119, 149], [159, 179, 140], [159, 179, 30],[255, 85, 198], [255, 27, 85], [188, 158, 8],[140, 188, 120], [59, 61, 52], [65, 81, 21], [212, 255, 174], [15, 164, 90],[41, 217, 245], [213, 23, 182], [11, 85, 169], [78, 153, 239], [0, 66, 141],[64, 98, 232], [140, 112, 255], [57, 33, 154], [194, 117, 252], [116, 92, 135], [74, 43, 98], [188, 13, 123], [129, 58, 91], [255, 128, 100], [171, 122, 145], [255, 98, 98], [222, 48, 77]]
|
| 791 |
+
# colorUsed=[]
|
| 792 |
+
|
| 793 |
TotalArea=0
|
| 794 |
TotalPerimeter=0
|
| 795 |
+
for shape in hatched_areas:
|
| 796 |
+
area = shape[1] # area
|
| 797 |
+
perimeter = shape[1] # perimeter
|
| 798 |
+
# if(i < len(colorRanges)):
|
| 799 |
+
# color = colorRanges[i]
|
| 800 |
+
# colorUsed.append(color)
|
| 801 |
+
# else:
|
| 802 |
+
# color = colorRanges2[i]
|
| 803 |
+
# colorUsed.append(color)
|
| 804 |
TotalArea = area
|
| 805 |
TotalPerimeter = perimeter
|
| 806 |
+
tol=0
|
| 807 |
condition1 = (SimilarAreaDictionary['Area'] >= area - tol) & (SimilarAreaDictionary['Area'] <= area +tol)
|
| 808 |
condition2 = (SimilarAreaDictionary['Perimeter'] >= perimeter -tol) & (SimilarAreaDictionary['Perimeter'] <= perimeter +tol)
|
| 809 |
combined_condition = condition1 & condition2
|
|
|
|
| 816 |
else:
|
| 817 |
TotalArea=area
|
| 818 |
TotalPerimeter=perimeter
|
| 819 |
+
new_data = {'Area': area, 'Total Area': TotalArea ,'Perimeter': perimeter, 'Total Perimeter': TotalPerimeter, 'Occurences': 1, 'Color':shape[3],'Comments':''} #add color here and read color to insert in
|
| 820 |
SimilarAreaDictionary = pd.concat([SimilarAreaDictionary, pd.DataFrame([new_data])], ignore_index=True)
|
| 821 |
|
| 822 |
# print(SimilarAreaDictionary)
|
|
|
|
| 826 |
def mainFunctionDrawImgPdf(datadoc,dxfpath, dxfratio,pdfpath=0,pdfname=0):
|
| 827 |
FinalRatio= RetriveRatio(datadoc,dxfpath)
|
| 828 |
|
| 829 |
+
# hatched_areas = get_hatched_areas(dxfpath,FinalRatio)
|
| 830 |
# hatched_areas=remove_duplicate_shapes(new_hatched_areas)
|
| 831 |
|
| 832 |
img=pdftoimg(datadoc)
|
|
|
|
| 851 |
ratio = pix.width/ img.shape[1]
|
| 852 |
rotationangle = 270
|
| 853 |
|
| 854 |
+
|
| 855 |
+
hatched_areas = get_hatched_areas(datadoc,dxfpath,FinalRatio,rotationangle)
|
| 856 |
allshapes=[]
|
| 857 |
# Iterate through each polygon in metric units
|
| 858 |
NewColors = []
|
| 859 |
+
SimilarAreaDictionary=Create_DF(dxfpath,datadoc,hatched_areas)
|
| 860 |
i=0
|
| 861 |
+
flagcolor = 0
|
| 862 |
|
| 863 |
|
| 864 |
for polygon in hatched_areas:
|
| 865 |
cntPoints = []
|
| 866 |
cntPoints1 = []
|
| 867 |
shapee = []
|
| 868 |
+
|
| 869 |
+
blackImgShapes = np.zeros(imgg.shape[:2], dtype="uint8")
|
| 870 |
+
blackImgShapes= cv2.cvtColor(blackImgShapes, cv2.COLOR_GRAY2BGR)
|
| 871 |
+
|
| 872 |
+
|
| 873 |
# Convert each vertex from metric to pixel coordinates
|
| 874 |
for vertex in polygon[0]:
|
| 875 |
x = (vertex[0]) *dxfratio
|
|
|
|
| 880 |
cntPoints.append([int(x), int(y)])
|
| 881 |
cntPoints1.append([x, y])
|
| 882 |
|
| 883 |
+
cv2.drawContours(blackImgShapes, [np.array(cntPoints)], -1, ([255,255,255]), thickness=-1)
|
| 884 |
+
x, y, w, h = cv2.boundingRect(np.array(cntPoints))
|
| 885 |
+
|
| 886 |
for poi in np.array(cntPoints1):
|
| 887 |
x1, y1 = poi
|
| 888 |
p1 = fitz.Point(x1,y1)
|
|
|
|
| 892 |
|
| 893 |
shapee=np.flip(shapee,1)
|
| 894 |
shapee=rotate_polygon(shapee,rotationangle,rotationOld,width,height)
|
| 895 |
+
tol=0
|
| 896 |
condition1 = (SimilarAreaDictionary['Area'] >= polygon[1] - tol) & (SimilarAreaDictionary['Area'] <= polygon[1] +tol)
|
| 897 |
condition2 = (SimilarAreaDictionary['Perimeter'] >= polygon[2] -tol) & (SimilarAreaDictionary['Perimeter'] <= polygon[2] +tol)
|
| 898 |
combined_condition = condition1 & condition2
|
| 899 |
|
| 900 |
if any(combined_condition):
|
| 901 |
+
flagcolor = 1
|
| 902 |
index = np.where(combined_condition)[0][0]
|
| 903 |
# print(SimilarAreaDictionary.at[index, 'Color'])
|
| 904 |
NewColors=SimilarAreaDictionary.at[index, 'Color']
|
| 905 |
else:
|
| 906 |
+
flagcolor = 2
|
| 907 |
NewColors=SimilarAreaDictionary.at[i, 'Color']
|
| 908 |
|
| 909 |
+
if(int(NewColors[0])==255 and int(NewColors[1])==255 and int(NewColors[2])==255):
|
| 910 |
+
WhiteImgFinal = cv2.bitwise_and(blackImgShapes,imgg)
|
| 911 |
+
flipped=flip(WhiteImgFinal)
|
| 912 |
+
|
| 913 |
+
|
| 914 |
+
imgslice = WhiteImgFinal[y:y+h, x:x+w]
|
| 915 |
+
flippedSlice=flip(imgslice)
|
| 916 |
+
|
| 917 |
+
|
| 918 |
+
# Convert flippedSlice to PIL for color extraction
|
| 919 |
+
flippedSlice_pil = Image.fromarray(flippedSlice)
|
| 920 |
+
|
| 921 |
+
# Define patch size for color sampling (e.g., 10x10 pixels)
|
| 922 |
+
patch_size = 60
|
| 923 |
+
patch_colors = []
|
| 924 |
+
|
| 925 |
+
# Loop through patches in the image
|
| 926 |
+
for i in range(0, flippedSlice_pil.width, patch_size):
|
| 927 |
+
for j in range(0, flippedSlice_pil.height, patch_size):
|
| 928 |
+
# Crop a patch from the original image
|
| 929 |
+
patch = flippedSlice_pil.crop((i, j, i + patch_size, j + patch_size))
|
| 930 |
+
patch_colors += patch.getcolors(patch_size * patch_size)
|
| 931 |
+
|
| 932 |
+
# Calculate the dominant color from all patches
|
| 933 |
+
max_count = 0
|
| 934 |
+
dominant_color = None
|
| 935 |
+
tolerance = 5
|
| 936 |
+
black_threshold = 30 # Max RGB value for a color to be considered "black"
|
| 937 |
+
white_threshold = 225 # Min RGB value for a color to be considered "white"
|
| 938 |
+
|
| 939 |
+
for count, color in patch_colors:
|
| 940 |
+
# Exclude colors within the black and white ranges
|
| 941 |
+
if not (all(c <= black_threshold for c in color) or all(c >= white_threshold for c in color)):
|
| 942 |
+
# Update if the current color has a higher count than previous max
|
| 943 |
+
if count > max_count:
|
| 944 |
+
max_count = count
|
| 945 |
+
dominant_color = color
|
| 946 |
+
|
| 947 |
+
|
| 948 |
+
|
| 949 |
+
# Append dominant color to ColorCheck and update NewColors
|
| 950 |
+
if (dominant_color != None):
|
| 951 |
+
ColorCheck.append(dominant_color)
|
| 952 |
+
NewColors = (dominant_color[2], dominant_color[1], dominant_color[0])
|
| 953 |
+
if(flagcolor == 1):
|
| 954 |
+
SimilarAreaDictionary.at[index, 'Color'] = NewColors
|
| 955 |
+
elif(flagcolor == 2):
|
| 956 |
+
SimilarAreaDictionary.at[i, 'Color'] = NewColors
|
| 957 |
+
|
| 958 |
# cv2.drawContours(imgg, [np.array(cntPoints)], -1, (NewColors), thickness=2)
|
| 959 |
cv2.drawContours(imgg, [np.array(cntPoints)], -1, ([NewColors[2],NewColors[1],NewColors[0]]), thickness=-1)
|
| 960 |
annot11 = page2.add_polygon_annot( points=shapee) # 'Polygon'
|