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@@ -6,7 +6,7 @@ from math import sqrt
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from sklearn.cluster import DBSCAN
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def get_average_xy(list_input):
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- csv_name = "/home/bscheibel/PycharmProjects/dxf_reader/temporary/list_to_csv_with_corner_points.csv"
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+ csv_name = "/home/centurio/Projects/engineering_drawings_extraction/temporary/ist_to_csv_with_corner_points.csv"
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resultFile = open(csv_name, 'w')
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wr = csv.writer(resultFile, delimiter=";")
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wr.writerow(["element", "xmin","ymin","xmax","ymax", "ausrichtung","point_xmi_ymi","point_xma_ymi","point_xmi_yma","point_xma_yma"])
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@@ -118,9 +118,9 @@ def clustering(dm,eps):
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n_clusters_ = len(set(labels)) - (1 if -1 in labels else 0)
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print('Estimated number of clusters: %d' % n_clusters_)
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- data_df = pandas.read_csv("/home/bscheibel/PycharmProjects/dxf_reader/temporary/list_to_csv_with_corner_points.csv", sep=";")
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+ data_df = pandas.read_csv("/home/centurio/Projects/engineering_drawings_extraction/temporary/list_to_csv_with_corner_points.csv", sep=";")
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data_df["cluster"] = labels
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- data_df.groupby(['cluster', 'ausrichtung'])['element'].apply(','.join).reset_index().to_csv("/home/bscheibel/PycharmProjects/dxf_reader/temporary/values_clusteredfrom_precomputed_dbscan.csv",sep=";", header=False, index=False)
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+ data_df.groupby(['cluster', 'ausrichtung'])['element'].apply(','.join).reset_index().to_csv("//home/centurio/Projects/engineering_drawings_extraction/temporary/values_clusteredfrom_precomputed_dbscan.csv",sep=";", header=False, index=False)
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return data_df
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def cluster_and_preprocess(result,eps):
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@@ -128,8 +128,8 @@ def cluster_and_preprocess(result,eps):
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#data = pandas.read_csv("/home/bscheibel/PycharmProjects/dxf_reader/temporary/list_to_csv_with_corner_points.csv", sep=";")
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#data = data[["point_xmi_ymi","point_xma_ymi","point_xmi_yma","point_xma_yma","ausrichtung"]]
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- result.to_csv("/home/bscheibel/PycharmProjects/dxf_reader/temporary/blub.csv", sep=";", index=False, header=None)
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- with open('/home/bscheibel/PycharmProjects/dxf_reader/temporary/blub.csv') as csvfile:
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+ result.to_csv("/home/centurio/Projects/engineering_drawings_extraction/temporary/blub.csv", sep=";", index=False, header=None)
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+ with open('/home/centurio/Projects/engineering_drawings_extraction/temporary/blub.csv') as csvfile:
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readCSV = csv.reader(csvfile, delimiter=';')
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result = list(readCSV)
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bscheibel