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technical_drawings_extraction
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added files

bscheibel 5 years ago
parent
4633099d4f
commit
b88459f444
16 changed files with 1327 additions and 3811 deletions
Unified View Show Diff Stats
  1. 0 54
      GV12_extracted.csv
  2. 2 2
      cluster_by_distance_csv_only.py
  3. 7 7
      dbscan_clustering.py
  4. 12 414
      drawings/5129275_Rev01-GV12.html
  5. 10 2354
      iso_documents/ISO2768-1.html
  6. 0 92
      merged.csv
  7. 1 1
      old/csv_to_text.py
  8. 0 28
      output.csv
  9. 2 2
      read_html_to_csv.py
  10. 1 1
      read_text_lines_from_dxf.py
  11. 1 1
      regex_extraction.py
  12. 0 27
      regex_test.py
  13. 828 828
      values.csv
  14. 0 0
      values_clustered_GV12_dxf.csv
  15. 61 0
      values_clusteredfromPDF_GV12.csv
  16. 402 0
      values_fromhtml_GV12.csv

+ 0 - 54
GV12_extracted.csv
View File 

@@ -1,54 +0,0 @@
 
-LAYOUT;420;297

-Concepts, principales and rules according to:;0;2

-Dimensions according to:;0;-1

-Tolerances of form, orientation, location and run-out:;0;-3

-Edge finish according to:;0;-6

-Surface texture according to:;0;-9

-Limits according to:;0;-12

-16% rule:;0;-15

-ISO 8015;0;2

-ISO 14405 1-3;0;-1

-ISO 1101;0;-3

-ISO 13715;0;-6

-ISO 1302;0;-9

-ISO 286-2;0;-12

-not applicable;0;-15

-Rz 16;4;3

-2x;163;195

-%%c;163;199

-19,20;163;203

--;163;210

-0,00;160;211

-0,05;163;211

-%%c;152;197

-15,15;152;200

-+;149;208

-0,05;149;209

-0,00;152;209

-LAYOUT;420;297

-Concepts, principales and rules according to:;0;2

-Dimensions according to:;0;-1

-Tolerances of form, orientation, location and run-out:;0;-3

-Edge finish according to:;0;-6

-Surface texture according to:;0;-9

-Limits according to:;0;-12

-16% rule:;0;-15

-ISO 8015;0;2

-ISO 14405 1-3;0;-1

-ISO 1101;0;-3

-ISO 13715;0;-6

-ISO 1302;0;-9

-ISO 286-2;0;-12

-not applicable;0;-15

-Rz 16;4;3

-2x;163;195

-%%c;163;199

-19,20;163;203

--;163;210

-0,00;160;211

-0,05;163;211

-%%c;152;197

-15,15;152;200

-+;149;208

-0,05;149;209

-0,00;152;209

+ 2 - 2
cluster_by_distance_csv_only.py
View File 

@@ -10,12 +10,12 @@
 
 
 
 import csv
 
 import csv
 
 
 
-csvfile1 = open('values.csv', 'r')
 
+csvfile1 = open('values_LH.csv', 'r')
 
 spamreader1 = list(csv.reader(csvfile1, dialect='excel', delimiter=','))
 
 spamreader1 = list(csv.reader(csvfile1, dialect='excel', delimiter=','))
 
 csvfile1.close()
 
 csvfile1.close()
 
 already_merged=False
 
 already_merged=False
 
 new_rows_list = []
 
 new_rows_list = []
 
-with open("values.csv", "r") as csvfile:
 
+with open("values_LH.csv", "r") as csvfile:
 
     reader = csv.reader(csvfile, delimiter=',')
 
     reader = csv.reader(csvfile, delimiter=',')
 
     for row in reader:
 
     for row in reader:
 
         #print(row)
 
         #print(row)

+ 7 - 7
dbscan_clustering.py
View File 

@@ -8,15 +8,15 @@ from sklearn.preprocessing import StandardScaler
 
 
 
 def cluster(file_in, file_out):
 
 def cluster(file_in, file_out):
 
     # #############################################################################
 
     # #############################################################################
 
-    data_df = pandas.read_csv("values.csv", sep=",")
 
+    data_df = pandas.read_csv("values_fromhtml_GV12.csv", sep=",")
 
     data_df.head(3)
 
     data_df.head(3)
 
-    data = data_df[["X1", "Y1","X2","Y2"]]
 
+    data = data_df[["X1","Y1","X2","Y2"]]
 
     print(data)
 
     print(data)
 
     data = StandardScaler().fit_transform(data)
 
     data = StandardScaler().fit_transform(data)
 
 
 
     # #############################################################################
 
     # #############################################################################
 
     # Compute DBSCAN
 
     # Compute DBSCAN
 
-    db = DBSCAN(eps=0.1, min_samples=1).fit(data)
 
+    db = DBSCAN(eps=0.2, min_samples=1).fit(data)
 
     core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
 
     core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
 
     core_samples_mask[db.core_sample_indices_] = True
 
     core_samples_mask[db.core_sample_indices_] = True
 
     labels = db.labels_
 
     labels = db.labels_
 
@@ -34,7 +34,7 @@ def cluster(file_in, file_out):
 
 
 
     # #############################################################################
 
     # #############################################################################
 
     # Plot result
 
     # Plot result
 
-    import matplotlib.pyplot as plt
 
+    """ort matplotlib.pyplot as plt
 
 
 
     # Black removed and is used for noise instead.
 
     # Black removed and is used for noise instead.
 
     unique_labels = set(labels)
 
     unique_labels = set(labels)
 
@@ -56,11 +56,11 @@ def cluster(file_in, file_out):
 
                  markeredgecolor='k', markersize=6)
 
                  markeredgecolor='k', markersize=6)
 
 
 
     plt.title('Estimated number of clusters: %d' % n_clusters_)
 
     plt.title('Estimated number of clusters: %d' % n_clusters_)
 
-    plt.show()
 
+    plt.show()"""
 
 
 
     print(data_df.head(3))
 
     print(data_df.head(3))
 
-    data_df.to_csv("values_clustered.csv")
 
-    data_df.groupby('cluster')['Text'].apply(' '.join).reset_index().to_csv("text_merged.csv")
 
+    #data_df.to_csv("values_clusteredfromPDF_GV12.csv")
 
+    data_df.groupby('cluster')['Text'].apply(' '.join).reset_index().to_csv("values_clusteredfromPDF_GV12.csv")
 
 
 
 
 
 cluster(33,33)
 
 cluster(33,33)

+ 12 - 414
drawings/5129275_Rev01-GV12.html
View File 

@@ -1,418 +1,16 @@
 
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml">
 
+<!DOCTYPE html>
 
+<html>
 
 <head>
 
 <head>
 
 <title>5129275.idw</title>
 
 <title>5129275.idw</title>
 
-<meta name="Subject" content=""/>
 
-<meta name="Keywords" content=""/>
 
-<meta name="Author" content="u1ac_lka"/>
 
-<meta name="Creator" content="PDFCreator 2.3.0.103"/>
 
-<meta name="Producer" content="PDFCreator 2.3.0.103"/>
 
-<meta name="CreationDate" content=""/>
 
+<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
 
+<meta name="generator" content="pdftohtml 0.36"/>
 
+<meta name="author" content="u1ac_lka"/>
 
+<meta name="keywords" content=""/>
 
+<meta name="date" content="2018-07-17T13:01:42+00:00"/>
 
+<meta name="subject" content=""/>
 
 </head>
 
 </head>
 
-<body>
 
-<doc>
 
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-  </page>
 
-</doc>
 
-</body>
 
+<frameset cols="100,*">
 
+<frame name="links" src="5129275_Rev01-GV12_ind.html"/>
 
+<frame name="contents" src="5129275_Rev01-GV12s.html"/>
 
+</frameset>
 
 </html>
 
 </html>

File diff suppressed because it is too large
+ 10 - 2354
iso_documents/ISO2768-1.html


+ 0 - 92
merged.csv
View File 

@@ -1,92 +0,0 @@
 
-,TEXT,X,Y,Text
 
-0,LAYOUT,420,297,LAYOUT
 
-1,"Concepts, principales and rules according to:",0,2,"Concepts, principales and rules according to:ISO 8015"
 
-2,Dimensions according to:,0,-1,Dimensions according to:ISO 14405 1-3
 
-3,"Tolerances of form, orientation, location and run-out:",0,-3,"Tolerances of form, orientation, location and run-out:ISO 1101"
 
-4,Edge finish according to:,0,-6,Edge finish according to:ISO 13715
 
-5,Surface texture according to:,0,-9,Surface texture according to:ISO 1302
 
-6,Limits according to:,0,-12,Limits according to:ISO 286-2
 
-7,16% rule:,0,-15,16% rule:not applicable
 
-8,ISO 8015,0,2,"Concepts, principales and rules according to:ISO 8015"
 
-9,ISO 14405 1-3,0,-1,Dimensions according to:ISO 14405 1-3
 
-10,ISO 1101,0,-3,"Tolerances of form, orientation, location and run-out:ISO 1101"
 
-11,ISO 13715,0,-6,Edge finish according to:ISO 13715
 
-12,ISO 1302,0,-9,Surface texture according to:ISO 1302
 
-13,ISO 286-2,0,-12,Limits according to:ISO 286-2
 
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+ 1 - 1
old/csv_to_text.py
View File 

@@ -1,7 +1,7 @@
 
 import pandas
 
 import pandas
 
 import csv
 
 import csv
 
 import re
 
 import re
 
-#data_df = pandas.read_csv("values.csv", sep=",")
 
+#data_df = pandas.read_csv("values_LH.csv", sep=",")
 
 #print(data_df.head(3))
 
 #print(data_df.head(3))
 
 
 
 #data = data_df[["X1","Y1","X2","Y2"]]
 
 #data = data_df[["X1","Y1","X2","Y2"]]

+ 0 - 28
output.csv
View File 

@@ -1,28 +0,0 @@
 
-Toleran zklasse,,,Grenzalbmaße für 1Nennmaßbereiche,,

-"von 0,5^)",,über 3,über 6 über 30 über 120 über 400,über 1000,über 2000

-Kurzzeichen Benennung bis 3,öCO,bis 6,bis 30 bis 120 bis 400 bis 1000,bis 2000,bis 4000

-o,,,,,

-CO,,,,,

-"f fein ±0,0+51",,"±0,05","±0,1 ±0,15 ±0,2 ±0,3","±0,5",—

-"m mittel ±0,1",,"±0,1","±0,2 ±0,3 ±0,5 ±0,8","± 1,2",±2

-"c grob ±0,2",,"±0,3","±0,5 ±0,8 ±1,2 ±2",±3,±4

-V sehr grob —,,"±0,5","±1 ±1,5 ±2,5 ±4",±6,±8

-"^) Für Nennmaße unter 0,5 mm sind die Grenzabmaße direkt an dem (den) entsprechenden Nennmaß(en) anzugeben.",,,,,

-Toleran zklasse,Greiizabmaße für Nennmaßbere iche,

-"Kurzzeichen Benennung von 0,5^) bis 3",über 3 bis 6,über 6

-f fein,,

-"±0,2","±0,5",± 1

-m mittel,,

-c grob,,

-"±0,4",± 1,±2

-V sehr grob,,

-"^) Für Nennmaße unter 0,5 mm sind die Grenzabmaße direkt an dem (den) entsprechenden Nennmaß(en) anzugeben.",,

-Toleranzklasse,,"Grenzabmaße fCir Längenbereichie, in mm, für den",

-"",,kürzeren Sch(3nkel des betreffe>nden Winkels,

-Kurzzeichen Benennung,bis 10,über 10 über 50 über 120,über 400

-"",,bis 50 bis 120 bis 400,

-f fein,,,

-"",± 1°,± 0° 30' ±0° 10',±0°5'

-m mittel,,,

-c grob,,± 1° ± 0° 30' ±0° 15',±0° 10'

-V sehr grob,,±2° ±1°,±0° 20'

+ 2 - 2
read_html_to_csv.py
View File 

@@ -2,8 +2,8 @@ import re
 
 import csv
 
 import csv
 
 
 
 
 
-with open("drawings/5152166_Rev04.html", "r") as f:
 
-    with open('values.csv', 'w') as writeFile:
 
+with open("drawings/5129275_Rev01-GV12.html", "r") as f:
 
+    with open('values_fromhtml_GV12.csv', 'w') as writeFile:
 
         for line in f.readlines():
 
         for line in f.readlines():
 
             #print(line)
 
             #print(line)
 
             row = []
 
             row = []

+ 1 - 1
read_text_lines_from_dxf.py
View File 

@@ -11,7 +11,7 @@ def printsection(buffer, file_out):
 
                 #print('{},{}'.format(obj['10'], obj['20']))
 
                 #print('{},{}'.format(obj['10'], obj['20']))
 
                 #print("\n")
 
                 #print("\n")
 
 
 
-                row = [values,math.floor(float(obj['10'])),math.floor(float(obj['20']))]
 
+                row = [values, math.floor(float(obj['10'])),math.floor(float(obj['20']))]
 
                 with open(file_out, 'a') as csvFile:
 
                 with open(file_out, 'a') as csvFile:
 
                     writer = csv.writer(csvFile, delimiter =';')
 
                     writer = csv.writer(csvFile, delimiter =';')
 
                     if row[0] != '':
 
                     if row[0] != '':

+ 1 - 1
regex_extraction.py
View File 

@@ -88,7 +88,7 @@ reg_all = re.compile(r"(ISO\s\d\d\d\d?\W?\d?\W?\d?\W?\d?|(EN\s\d*)|^[A-Z]{1}-?[A
 
 extracted_dimensions = []
 
 extracted_dimensions = []
 
 #text = csv_to_text.read_csv('/home/bscheibel/PycharmProjects/dxf_reader/temporary/text_merged_GV12.csv')
 
 #text = csv_to_text.read_csv('/home/bscheibel/PycharmProjects/dxf_reader/temporary/text_merged_GV12.csv')
 
 
 
-file = open('text_merged.csv', 'r')
 
+file = open('values_clusteredfromPDF_GV12.csv', 'r')
 
 #text = file.read()
 
 #text = file.read()
 
 #file.close()
 
 #file.close()
 
 text_df = pandas.read_csv(file)
 
 text_df = pandas.read_csv(file)

+ 0 - 27
regex_test.py
View File 

@@ -1,27 +0,0 @@
 
-import re
 
-reg_all = re.compile(r"(^[A-Z]{1}-?[A-Z]?\s*$)|([A-Z]\W?[A-Z]?\s?\W\s?\d\d?\s?\s?:\s?\d\d?\s?\W)|((?!\d)(?!Rpk)[a-zA-Z]{3,}?\W)|(?!0)(^\d{1}\s*$|A\d{1}|\d/\d)")
 
-regex = r"(\S+\s{1,3}?\S*\s?\S*\S*\s?\S*\S*\s?\S*\S*\s?\S*\S*\s+)"
 
-file = open('/home/bscheibel/PycharmProjects/dxf_reader/drawings/5129275_Rev01-GV12.txt', 'r')
 
-text = file.read()
 
-file.close()
 
-extraction = []
 
-matches = re.findall(regex, text, re.MULTILINE)
 
-for match in matches:
 
-    #print(match)
 
-    extraction.append(match.strip())
 
-i = 0
 
-new_matches = []
 
-for match in extraction:
 
-    #print(match)
 
-    #print("blub")
 
-    match = match.split('\n')[0]
 
-    #if len(match)>1:
 
-    #    extraction.append(match[1])
 
-        #print(match[1])
 
-    #print([match])
 
-    if not re.search(reg_all, match):
 
-        #print("blub")
 
-        new_matches.append(match)
 
-    i += 1
 
-
 
-print(new_matches)

File diff suppressed because it is too large
+ 828 - 828
values.csv


values_clustered_GV12.csv → values_clustered_GV12_dxf.csv
View File


File diff suppressed because it is too large
+ 61 - 0
values_clusteredfromPDF_GV12.csv


+ 402 - 0
values_fromhtml_GV12.csv
View File 

@@ -0,0 +1,402 @@
 
+X1,Y1,X2,Y2,Text,Xavg,Yavg, blub
 
+67.790402,11.570546,73.239534,20.626588,1,70.51496800000001,16.098567000000003,False
 
+268.068994,11.450546,273.518126,20.506588,3,270.79355999999996,15.978567,False
 
+167.989461,11.570546,173.438592,20.626588,2,170.7140265,16.098567000000003,False
 
+368.268523,11.450546,373.717654,20.506588,4,370.9930885,15.978567,False
 
+468.348387,11.450546,473.797518,20.506588,5,471.07295250000004,15.978567,False
 
+568.547916,11.450546,573.997047,20.506588,6,571.2724814999999,15.978567,False
 
+122.630951,46.695792,131.613209,60.279874,Z,127.12208000000001,53.487832999999995,False
 
+135.590904,46.695792,140.486308,60.279874,(,138.03860600000002,53.487832999999995,False
 
+144.590872,46.695792,160.924548,60.279874,20,152.75770999999997,53.487832999999995,False
 
+164.990792,46.695792,169.077646,60.279874,:,167.034219,53.487832999999995,False
 
+173.150760,46.695792,181.324468,60.279874,1,177.237614,53.487832999999995,False
 
+185.390712,46.695792,190.286116,60.279874,),187.838414,53.487832999999995,False
 
+120.761894,84.160811,129.817431,91.199965,R,125.28966249999999,87.680388,False
 
+121.481894,78.819233,130.537431,84.239966,2,126.00966249999999,81.52959949999999,False
 
+646.430741,113.055766,656.236251,126.639848,X,651.333496,119.847807,False
 
+660.350702,113.055766,665.246107,126.639848,(,662.7984045000001,119.847807,False
 
+669.350715,113.055766,685.564420,126.639848,10,677.4575675000001,119.847807,False
 
+689.630708,113.055766,693.717562,126.639848,:,691.674135,119.847807,False
 
+697.910705,113.055766,706.084413,126.639848,1,701.997559,119.847807,False
 
+710.150701,113.055766,715.046105,126.639848,),712.598403,119.847807,False
 
+475.533479,190.281023,487.801050,198.119921,n,481.6672645,194.200472,False
 
+478.841359,179.470821,487.897401,190.319924,11,483.36938,184.8953725,False
 
+150.110940,166.850483,169.239999,175.906526,1.65,159.67546950000002,171.37850450000002,False
 
+108.590957,216.735724,118.396466,230.319806,Y,113.4937115,223.527765,False
 
+122.390911,216.735724,127.286315,230.319806,(,124.83861300000001,223.527765,False
 
+131.390879,216.735724,147.724555,230.319806,10,139.55771700000003,223.527765,False
 
+151.790799,216.735724,155.877653,230.319806,:,153.834226,223.527765,False
 
+159.950767,216.735724,168.124475,230.319806,1,164.037621,223.527765,False
 
+172.310718,216.735724,177.206123,230.319806,),174.7584205,223.527765,False
 
+141.830943,335.450416,147.819107,344.506458,F,144.82502499999998,339.978437,False
 
+356.870857,357.410407,362.319989,366.466450,2,359.595423,361.9384285,False
 
+363.950855,355.365249,368.017384,361.799805,+,365.9841195,358.582527,False
 
+364.790854,361.245246,367.109611,367.679803,-,365.95023249999997,364.4625245,False
 
+368.390849,355.005249,378.142400,361.439805,0.1,373.26662450000003,358.222527,False
 
+368.390849,361.845246,372.262407,368.279803,0,370.326628,365.0625245,False
 
+144.590942,406.782692,157.633904,411.906450,Edge,151.112423,409.344571,False
 
+159.230977,406.782692,173.852474,411.906450,finish:,166.54172549999998,409.344571,False
 
+165.590934,413.627848,180.091392,421.373092,-0.2,172.841163,417.50046999999995,False
 
+165.590934,421.547845,184.771375,429.293089,-0.05,175.1811545,425.42046700000003,False
 
+63.230575,420.770382,75.090844,429.826424,Rz,69.1607095,425.298403,False
 
+77.870510,420.770382,88.839620,429.826424,16,83.355065,425.298403,False
 
+42.470583,443.753959,51.160863,447.626414,valid,46.815723,445.6901865,False
 
+52.190604,443.753959,57.186258,447.626414,for,54.688431,445.6901865,False
 
+58.310621,443.753959,76.480937,447.626414,machined,67.395779,445.6901865,False
 
+77.630682,443.753959,91.480973,447.626414,surface,84.55582749999999,445.6901865,False
 
+42.470583,447.833957,60.640885,451.706412,according,51.555734,449.7701845,False
 
+61.790626,447.833957,65.320897,451.706412,to,63.5557615,449.7701845,False
 
+66.470642,447.833957,73.696647,451.706412,DIN,70.08364449999999,449.7701845,False
 
+74.870665,447.833957,82.091369,451.706412,ISO,78.48101700000001,449.7701845,False
 
+83.270682,447.833957,92.560972,451.706412,1302,87.91582700000001,449.7701845,False
 
+193.670836,421.547845,210.211285,429.293089,+0.2,201.9410605,425.42046700000003,False
 
+375.230850,378.050399,388.719939,387.106441,9.3,381.9753945,382.57842000000005,False
 
+390.470845,376.725240,394.537373,383.159797,+,392.50410899999997,379.9425185,False
 
+391.310843,382.485238,393.629600,388.919794,-,392.4702215,385.702516,False
 
+394.910838,376.245240,404.662389,382.679797,0.1,399.78661350000004,379.4625185,False
 
+394.910838,383.205238,398.782396,389.639794,0,396.84661700000004,386.422516,False
 
+302.030879,379.850398,315.639967,388.906441,4.8,308.835423,384.37841949999995,False
 
+316.790873,379.143886,322.841711,387.897126,`,319.816292,383.520506,False
 
+322.910871,381.525238,336.502426,387.959795,0.05,329.70664850000003,384.74251649999997,False
 
+823.066288,343.730413,830.142318,352.786455,D,826.6043030000001,348.25843399999997,False
 
+463.790814,439.010375,470.327812,448.066417,B,467.059313,443.53839600000003,False
 
+159.710792,447.833957,177.881101,451.706412,according,168.7959465,449.7701845,False
 
+178.910839,447.833957,182.561102,451.706412,to,180.7359705,449.7701845,False
 
+183.590840,447.833957,190.816838,451.706412,DIN,187.203839,449.7701845,False
 
+192.110848,447.833957,199.331545,451.706412,ISO,195.72119650000002,449.7701845,False
 
+200.390858,447.833957,212.081156,451.706412,13715,206.236007,449.7701845,False
 
+42.470927,454.902672,67.652427,460.026430,Concepts.,55.061677,457.46455100000003,False
 
+69.230970,454.902672,95.883431,460.026430,principales,82.5572005,457.46455100000003,False
 
+97.551015,454.902672,106.753957,460.026430,and,102.15248600000001,457.46455100000003,False
 
+108.351030,454.902672,120.483471,460.026430,rules,114.4172505,457.46455100000003,False
 
+122.031054,454.902672,146.354039,460.026430,according,134.1925465,457.46455100000003,False
 
+147.951113,454.902672,154.172589,460.026430,to:,151.061851,457.46455100000003,False
 
+175.190929,454.902672,184.664823,460.026430,ISO,179.92787600000003,457.46455100000003,False
 
+186.350930,454.902672,198.793897,460.026430,8015,192.57241349999998,457.46455100000003,False
 
+42.470458,461.142670,71.642916,466.266428,Dimensions,57.056687,463.70454900000004,False
 
+73.310499,461.142670,97.513463,466.266428,according,85.411981,463.70454900000004,False
 
+98.990536,461.142670,105.212012,466.266428,to:,102.101274,463.70454900000004,False
 
+175.190126,461.142670,184.904021,466.266428,ISO,180.0470735,463.70454900000004,False
 
+186.470128,461.142670,202.033106,466.266428,14405,194.251617,463.70454900000004,False
 
+203.510179,461.142670,211.633124,466.266428,1-3,207.5716515,463.70454900000004,False
 
+42.470458,467.502667,70.082908,472.626425,Tolerances,56.276683000000006,470.06454599999995,False
 
+71.630491,467.502667,76.411963,472.626425,of,74.02122700000001,470.06454599999995,False
 
+77.990506,467.502667,90.691997,472.626425,form.,84.3412515,470.06454599999995,False
 
+92.150540,467.502667,119.852053,472.626425,orientation.,106.0012965,470.06454599999995,False
 
+121.430596,467.502667,140.713571,472.626425,location,131.0720835,470.06454599999995,False
 
+142.310645,467.502667,151.633601,472.626425,and,146.972123,470.06454599999995,False
 
+153.230674,467.502667,172.411951,472.626425,run-out:,162.82131249999998,470.06454599999995,False
 
+175.190929,467.502667,184.784823,472.626425,ISO,179.987876,470.06454599999995,False
 
+186.350930,467.502667,198.793897,472.626425,1101,192.57241349999998,470.06454599999995,False
 
+42.470335,473.742665,55.513283,478.866423,Edge,48.991809,476.30454399999996,False
 
+57.110352,473.742665,70.153299,478.866423,finish,63.631825500000005,476.30454399999996,False
 
+71.630372,473.742665,95.953336,478.866423,according,83.791854,476.30454399999996,False
 
+97.550409,473.742665,103.771885,478.866423,to:,100.661147,476.30454399999996,False
 
+175.189944,473.742665,184.903839,478.866423,ISO,180.04689150000002,476.30454399999996,False
 
+186.469946,473.742665,202.032924,478.866423,13715,194.25143500000001,476.30454399999996,False
 
+42.470335,480.102662,61.753292,485.226420,Surface,52.1118135,482.664541,False
 
+63.350366,480.102662,80.353326,485.226420,texture,71.851846,482.664541,False
 
+81.950400,480.102662,106.273363,485.226420,according,94.11188150000001,482.664541,False
 
+107.750436,480.102662,113.971912,485.226420,to:,110.861174,482.664541,False
 
+175.430930,480.102662,185.024825,485.226420,ISO,180.22787749999998,482.664541,False
 
+186.590931,480.102662,199.033898,485.226420,1302,192.8124145,482.664541,False
 
+42.470502,486.462660,57.002939,491.586418,Limits,49.736720500000004,489.024539,False
 
+58.670523,486.462660,82.873485,491.586418,according,70.77200400000001,489.024539,False
 
+84.470558,486.462660,90.692035,491.586418,to:,87.58129650000001,489.024539,False
 
+175.310929,486.462660,185.024823,491.586418,ISO,180.16787599999998,489.024539,False
 
+186.590930,486.462660,200.833896,491.586418,286-2,193.712413,489.024539,False
 
+175.550930,492.462657,183.212419,497.586415,not,179.3816745,495.024536,False
 
+184.790947,492.462657,209.953950,497.586415,applicable,197.3724485,495.024536,False
 
+42.470803,492.582657,53.640179,497.706415,16%,48.055491,495.144536,False
 
+55.190817,492.582657,57.037251,497.706415,-,56.114034000000004,495.144536,False
 
+58.670821,492.582657,67.873766,497.706415,rule,63.2722935,495.144536,False
 
+42.470927,500.502654,63.021907,505.626412,Nominal,52.746417,503.064533,False
 
+64.550961,500.502654,87.843417,505.626412,geometry,76.19718900000001,503.064533,False
 
+89.391001,500.502654,121.083479,505.626412,(theoretically,105.23724,503.064533,False
 
+122.751063,500.502654,137.917520,505.626412,exact),130.3342915,503.064533,False
 
+139.551082,500.502654,157.874062,505.626412,defined,148.71257200000002,503.064533,False
 
+159.351136,500.502654,165.363571,505.626412,by,162.3573535,503.064533,False
 
+166.911147,500.502654,178.594095,505.626412,CAD,172.752621,503.064533,False
 
+180.230719,500.502654,188.972204,505.626412,file:,184.6014615,503.064533,False
 
+466.670813,461.872555,469.467056,466.519790,1,468.0689345,464.1961725,False
 
+705.831325,461.872555,731.067818,466.519790,04.04.2018,718.4495715,464.1961725,False
 
+548.030781,470.504063,580.469249,474.853041,DESCRIPTION,564.2500150000001,472.67855199999997,False
 
+667.910733,470.504063,688.949102,474.853041,SECTION,678.4299175000001,472.67855199999997,False
 
+314.630874,505.335609,324.436384,518.919691,A,319.533629,512.1276499999999,False
 
+408.110604,505.335609,417.916114,518.919691,A,413.01335900000004,512.1276499999999,False
 
+463.070815,516.462648,482.012282,521.586406,Weight:,472.5415485,519.024527,False
 
+143.870942,524.022460,158.761184,536.290030,d,151.31606299999999,530.156245,False
 
+162.710935,527.330339,176.320023,536.386382,0.2,169.515479,531.8583605,False
 
+180.350928,527.330339,186.887925,536.386382,A,183.6194265,531.8583605,False
 
+190.910924,527.330339,197.447921,536.386382,B,194.1794225,531.8583605,False
 
+503.150619,516.582648,518.732192,521.706406,Scale:,510.94140550000003,519.1445269999999,False
 
+480.950808,525.285181,483.269564,531.719737,-,482.110186,528.502459,False
 
+515.390794,526.005181,519.262352,532.439737,2,517.326573,529.2224590000001,False
 
+521.150787,526.005181,523.086566,532.439737,:,522.1186765,529.2224590000001,False
 
+525.110821,526.005181,528.982379,532.439737,1,527.0466,529.2224590000001,False
 
+543.230783,516.462648,554.732298,521.586406,Unit:,548.9815404999999,519.024527,False
 
+583.310767,516.462648,609.692421,521.586406,Projection:,596.5015940000001,519.024527,False
 
+583.310767,524.622645,592.784676,529.746403,ISO,588.0477215000001,527.184524,False
 
+594.470753,524.622645,603.793739,529.746403,128,599.1322459999999,527.184524,False
 
+583.310767,530.862642,601.873791,535.986400,Method,592.592279,533.424521,False
 
+603.470864,530.862642,606.553799,535.986400,1,605.0123315000001,533.424521,False
 
+555.350778,525.405181,567.031154,531.839737,mm,561.190966,528.6224589999999,False
 
+653.390739,516.525184,685.326392,522.959741,Document,669.3585655,519.7424625,False
 
+687.230648,516.525184,702.366371,522.959741,type:,694.7985094999999,519.7424625,False
 
+653.390739,536.445176,690.366444,542.879733,Description:,671.8785915000001,539.6624545,False
 
+481.910807,545.930332,504.234616,554.986374,HUM,493.07271149999997,550.458353,False
 
+514.190794,546.467795,556.170929,554.213039,11.07.2018,535.1808615,550.340417,False
 
+777.711531,461.392555,779.386259,466.039790,-,778.548895,463.71617249999997,False
 
+743.751643,461.872555,753.346152,466.519790,LKA,748.5488975,464.1961725,False
 
+806.751614,461.392555,808.426342,466.039790,-,807.588978,463.71617249999997,False
 
+735.710706,470.504063,753.629094,474.853041,DRAWN,744.6699,472.67855199999997,False
 
+755.030857,470.504063,761.290293,474.853041,BY,758.160575,472.67855199999997,False
 
+765.350694,470.504063,777.699269,474.853041,INSP.,771.5249815,472.67855199999997,False
 
+779.150837,470.504063,791.770297,474.853041,DATE,785.4605670000001,472.67855199999997,False
 
+797.510681,470.504063,809.979257,474.853041,INSP.,803.744969,472.67855199999997,False
 
+811.310825,470.504063,817.690262,474.853041,BY,814.5005435,472.67855199999997,False
 
+368.269029,575.930320,373.718160,584.986362,4,370.9935945,580.458341,False
 
+468.348598,575.930320,473.797729,584.986362,5,471.07316349999996,580.458341,False
 
+705.470718,542.210333,729.999762,551.266376,Valve,717.73524,546.7383545,False
 
+732.710617,542.210333,754.454158,551.266376,Lifter,743.5823875,546.7383545,False
 
+757.190560,542.210333,790.359576,551.266376,GV12.2,773.7750679999999,546.7383545,False
 
+568.548127,575.930320,573.997258,584.986362,6,571.2726925,580.458341,False
 
+668.627696,575.930320,674.076827,584.986362,7,671.3522614999999,580.458341,False
 
+823.666285,544.010333,829.654449,553.066375,F,826.660367,548.538354,False
 
+793.551216,556.486651,809.654008,562.146317,Page:,801.6026119999999,559.316484,False
 
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+705.470718,521.570342,756.075037,530.626384,Component,730.7728775,526.0983630000001,False
 
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+466.430813,557.566651,485.556430,563.226317,Design,475.9936215,560.396484,False
 
+487.310847,557.566651,506.436142,563.226317,Freeze,496.8734945,560.396484,False
 
+508.190559,557.566651,530.676182,563.226317,Release,519.4333705,560.396484,False
 
+533.150787,557.446651,540.636356,563.106317,B1,536.8935715,560.276484,False
 
+540.950614,557.566651,563.915856,563.226317,-Sample,552.433235,560.396484,False
 
+100.550559,567.405164,110.302109,573.839720,tbd,105.426334,570.6224420000001,False
 
+167.989931,575.930320,173.439062,584.986362,2,170.7144965,580.458341,False
 
+712.190715,470.504063,724.810175,474.853041,DATE,718.5004449999999,472.67855199999997,False
 
+463.070815,486.526679,489.373328,492.186345,Copyright,476.22207149999997,489.356512,False
 
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