add privilieged option in detect_new_folder

detect_new_folder.py

     tmp_recent = str(root_path) + str(recent_file[0])
     if target_dir != tmp_recent:
         time.sleep(5)
-        command = 'docker run --rm --name mail_recorder --gpus '"device=1"' -v /dev:/dev -v /home/mc365/sources:/sources -v /home/mc365/data/'+str(recent_file[0])+':/data/'+str(recent_file[0])+' stereolabs/zed:3.5-gl-devel-cuda11.1-ubuntu18.04 python3 /sources/recorder.py.bak'
+        command = 'docker run --rm --name mail_recorder --gpus '"device=1"' --privileged -v /dev:/dev -v /home/mc365/sources:/sources -v /home/mc365/data/'+str(recent_file[0])+':/data/'+str(recent_file[0])+' stereolabs/zed:3.5-gl-devel-cuda11.1-ubuntu18.04 python3 /sources/recorder.py.bak'
         os.system(str(command))        
     target_dir = str(root_path) + str(recent_file[0])    
     

kpi.py

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