|
|
@@ -14,20 +14,23 @@ target_dir = '/hdd' + ssd_dir[5:]
|
|
14
|
14
|
|
|
15
|
15
|
|
|
16
|
16
|
svo_list = os.listdir(target_dir)
|
|
|
17
|
+svo_list = sorted(svo_list)
|
|
|
18
|
+
|
|
17
|
19
|
|
|
18
|
20
|
for svo in svo_list:
|
|
19
|
|
- if svo[-5] == 2:
|
|
|
21
|
+ if svo[-5] == '2':
|
|
20
|
22
|
os.system('python3 /sources/depthsensing.py -c /sources/cfg.cfg -w /sources/mailsys.weights -m /sources/data.data -s ' + target_dir + svo + ' -o ' + target_dir + svo[:4] + '.csv')
|
|
21
|
23
|
else:
|
|
22
|
24
|
pass
|
|
23
|
25
|
|
|
24
|
26
|
full_list = os.listdir(target_dir)
|
|
25
|
|
-csv_1_list = [file for file in full_list if file.endswith("1.csv")]
|
|
|
27
|
+csv_2_list = [file for file in full_list if file.endswith("2.csv")]
|
|
|
28
|
+csv_2_list = sorted(csv_2_list)
|
|
26
|
29
|
|
|
27
|
30
|
conc_df = pd.DataFrame(data={'x': [], 'y': [], 'z': [], 'frame': []})
|
|
28
|
31
|
FRAME_COUNTER = 0
|
|
29
|
32
|
N_OF_FRAME = 1800
|
|
30
|
|
-for x in csv_1_list:
|
|
|
33
|
+for x in csv_2_list:
|
|
31
|
34
|
df = pd.read_csv(os.path.join(target_dir,x), header=0)
|
|
32
|
35
|
df['frame'] = df['frame'] + FRAME_COUNTER
|
|
33
|
36
|
conc_df = pd.concat([conc_df,df])
|