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@@ -6,7 +6,7 @@ import numpy as np
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import pandas as pd
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from pandas import DataFrame as df
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from sklearn.cluster import DBSCAN
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-import matplotlib.pyplot as plt
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+#import matplotlib.pyplot as plt
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ssd_dir = str(sys.argv[1])
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@@ -115,17 +115,17 @@ def dist():
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norm['stroke_count'] = 0
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stroke_count(norm)
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- print('num of inc')
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- print(norm['inc_num'].unique())
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+ #print('num of inc')
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+ #print(norm['inc_num'].unique())
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- print('total stroke')
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+ #print('total stroke')
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#print(norm['stroke_count'].unique())
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- print(norm)
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+ #print(norm)
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- plt.plot(norm['frame'],norm['diff_diff'])
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- plt.savefig('/sources/diff_diff.png')
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+ #plt.plot(norm['frame'],norm['diff_diff'])
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+ #plt.savefig('/sources/diff_diff.png')
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@@ -137,11 +137,11 @@ def dist():
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quad2_c = quad_count[quad_count['quad'] == 2]
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quad3_c = quad_count[quad_count['quad'] == 3]
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quad4_c = quad_count[quad_count['quad'] == 4]
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- print(len(quad1_c))
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- print(len(quad2_c))
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- print(len(quad3_c))
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- print(len(quad4_c))
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- print(quad1_c)
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+ #print(len(quad1_c))
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+ #print(len(quad2_c))
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+ #print(len(quad3_c))
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+ #print(len(quad4_c))
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+ #print(quad1_c)
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kpi['PK'] = ssd_dir[5:]
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kpi['qaud1_c'] = len(quad1_c)
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kpi['qaud2_c'] = len(quad2_c)
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@@ -164,7 +164,7 @@ def dist():
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}
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- print(kpi)
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+ #print(kpi)
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val_list = []
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#PK =
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@@ -191,7 +191,7 @@ def dist():
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val_list.append("{:.4f}".format((kpi_1['depth'][2] + kpi_1['depth'][3] - kpi_1['depth'][0] - kpi_1['depth'][1])/2))
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- print(val_list)
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+ #print(val_list)
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