Data Enrichment - Tiling and Rotating
Contents
Data Enrichment - Tiling and Rotating#
from google.colab import drive
drive.mount('/content/drive')
Mounted at /content/drive
import os
import re
import numpy as np
import subprocess
import cv2
import math
import shutil
myPathLabel = '/content/drive/MyDrive/dataset/labels/validation'
myPathImages = '/content/drive/MyDrive/dataset/images/validation'
Tiling#
Wie im Abschnitt Model Evaluation erläutert, ist eine Möglichkeit zum Umgang mit großen Bilder das “Kacheln” (englisch tiling). Die besondere Herausforderung ist hierbei, dass sowohl die Bild-, wie auch die Labeldatein zerlegt werden müssen. Hierbei wird auf ein bereits vorhandenes Github-Repository von Neskorozhenyi [2021] zurückgegriffen.
#! git clone https://github.com/slanj/yolo-tiling.git
label_list = os.listdir(myPathLabel)
#image_list = os.listdir(myPathImages)
image_list = list()
for x in label_list:
png = str.split(x, ".")[0] + ".png"
image_list.append(png)
for file1 in image_list:
src_path = '/content/drive/MyDrive/dataset/images/validation/' + file1
dst_path = '/content/drive/MyDrive/dataset_tile/org/validation/' + file1
shutil.copy(src_path, dst_path)
#print('Copied')
for file1 in label_list:
src_path = '/content/drive/MyDrive/dataset/labels/validation/' + file1
dst_path = '/content/drive/MyDrive/dataset_tile/org/validation/' + file1
shutil.copy(src_path, dst_path)
#print('Copied')
Mit diesem Repository können nur Bilder mit Label (keine Backgroundbilder), deswegen werden diese herausgefiltert.
%cd yolo-tiling/
/content/yolo-tiling
Mit Aufruf der tile_yolo.py werden die Bilder und Labels im entsprechenden Ordner in Kacheln der Größe 640x640 Pixel zerlegt und in einem entsprechenden Zielordner ablegt. Dies wird für Trainings- und Validierungsdaten durchgeführt.
! python3 tile_yolo.py -source /content/drive/MyDrive/dataset_tile/org/validation -target /content/drive/MyDrive/dataset_tile/tiled/validation -ext .png -size 640
Streaming output truncated to the last 5000 lines.
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1156_1_3.png
class ... h
0 0 ... 0.292186
1 0 ... 0.256251
2 0 ... 0.272658
3 0 ... 0.321873
[4 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1156_1_4.png
class ... h
0 0 ... 0.091847
1 0 ... 0.292186
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1156_2_1.png
class ... h
0 0 ... 0.252512
[1 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1156_2_2.png
class ... h
0 0 ... 0.286719
1 0 ... 0.302345
2 0 ... 0.252512
[3 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1156_3_0.png
class ... h
0 0 ... 0.451562
1 0 ... 0.167291
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1156_3_1.png
class ... h
0 0 ... 0.038897
1 0 ... 0.441407
2 0 ... 0.451562
[3 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1156_3_2.png
class ... h
0 0 ... 0.038897
[1 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P1154.png
/content/drive/MyDrive/dataset_tile/tiled/validation/P1154_1_4.png
class ... h
0 0 ... 0.160158
1 0 ... 0.162223
2 0 ... 0.160158
3 0 ... 0.192190
[4 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1154_2_3.png
class ... h
0 0 ... 0.040666
1 0 ... 0.340623
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1154_2_4.png
class ... h
0 0 ... 0.340623
1 0 ... 0.137775
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1154_3_1.png
class ... h
0 0 ... 0.134086
[1 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1154_3_2.png
class ... h
0 0 ... 0.134086
1 0 ... 0.184373
2 0 ... 0.183592
3 0 ... 0.162500
4 0 ... 0.169531
5 0 ... 0.166409
6 0 ... 0.172659
[7 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1154_3_3.png
class ... h
0 0 ... 0.172659
1 0 ... 0.151523
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1154_4_0.png
class ... h
0 0 ... 0.157114
1 0 ... 0.203124
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1154_4_1.png
class ... h
0 0 ... 0.157114
1 0 ... 0.203124
2 0 ... 0.212502
3 0 ... 0.185153
4 0 ... 0.208593
5 0 ... 0.200782
6 0 ... 0.183592
7 0 ... 0.058103
[8 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1154_4_2.png
class ... h
0 0 ... 0.058103
[1 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P1397.png
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_0_2.png
class ... h
0 0 ... 0.094675
1 0 ... 0.129991
2 0 ... 0.076858
3 0 ... 0.118997
4 0 ... 0.085157
[5 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_0_3.png
class ... h
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2 0 ... 0.100898
3 0 ... 0.068900
4 0 ... 0.060936
5 0 ... 0.089536
[6 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_0_4.png
class ... h
0 0 ... 0.089536
1 0 ... 0.054066
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_0.png
class ... h
0 0 ... 0.107029
1 0 ... 0.067966
2 0 ... 0.107029
[3 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_1.png
class ... h
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3 0 ... 0.107029
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32 0 ... 0.099220
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34 0 ... 0.100000
35 0 ... 0.094530
36 0 ... 0.098440
37 0 ... 0.095315
38 0 ... 0.096875
39 0 ... 0.096095
[40 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_2.png
class ... h
0 0 ... 0.147691
1 0 ... 0.092970
2 0 ... 0.097655
3 0 ... 0.091405
4 0 ... 0.100000
.. ... ... ...
56 0 ... 0.096095
57 0 ... 0.095315
58 0 ... 0.100000
59 0 ... 0.096875
60 0 ... 0.096875
[61 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_3.png
class ... h
0 0 ... 0.092190
1 0 ... 0.091405
2 0 ... 0.100000
3 0 ... 0.095315
4 0 ... 0.099220
5 0 ... 0.093750
6 0 ... 0.093750
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8 0 ... 0.094530
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10 0 ... 0.093750
11 0 ... 0.096095
12 0 ... 0.091405
13 0 ... 0.096875
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20 0 ... 0.109305
21 0 ... 0.115698
22 0 ... 0.100000
23 0 ... 0.096875
24 0 ... 0.097655
25 0 ... 0.101565
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27 0 ... 0.095315
28 0 ... 0.096095
29 0 ... 0.098440
30 0 ... 0.100779
31 0 ... 0.100000
32 0 ... 0.099220
33 0 ... 0.097655
34 0 ... 0.100000
35 0 ... 0.096875
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37 0 ... 0.100779
38 0 ... 0.098440
39 0 ... 0.103124
40 0 ... 0.096875
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42 0 ... 0.099220
43 0 ... 0.096875
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45 0 ... 0.137498
46 0 ... 0.119851
47 0 ... 0.124102
48 0 ... 0.158446
49 0 ... 0.159374
50 0 ... 0.147184
51 0 ... 0.115624
52 0 ... 0.123438
53 0 ... 0.126563
[54 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_4.png
class ... h
0 0 ... 0.093175
1 0 ... 0.099220
2 0 ... 0.107029
3 0 ... 0.102344
4 0 ... 0.147184
5 0 ... 0.169369
6 0 ... 0.126563
7 0 ... 0.128123
[8 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_5.png
class ... h
0 0 ... 0.196874
1 0 ... 0.062273
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_6.png
class ... h
0 0 ... 0.196874
1 0 ... 0.062273
2 0 ... 0.167065
3 0 ... 0.257811
4 0 ... 0.273435
5 0 ... 0.149614
[6 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_7.png
class ... h
0 0 ... 0.257811
1 0 ... 0.260936
2 0 ... 0.230467
3 0 ... 0.257031
4 0 ... 0.251561
5 0 ... 0.248687
6 0 ... 0.107041
7 0 ... 0.149614
[8 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_8.png
class ... h
0 0 ... 0.259376
1 0 ... 0.106511
2 0 ... 0.253126
3 0 ... 0.225783
4 0 ... 0.268750
5 0 ... 0.253906
6 0 ... 0.211387
[7 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_9.png
class ... h
0 0 ... 0.268750
1 0 ... 0.250001
2 0 ... 0.253906
3 0 ... 0.285940
4 0 ... 0.211387
5 0 ... 0.072880
6 0 ... 0.101829
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8 0 ... 0.267185
9 0 ... 0.254686
10 0 ... 0.234377
11 0 ... 0.251561
[12 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_10.png
class ... h
0 0 ... 0.222167
1 0 ... 0.254686
2 0 ... 0.251561
3 0 ... 0.264060
4 0 ... 0.256251
5 0 ... 0.257031
6 0 ... 0.202741
7 0 ... 0.079812
[8 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_11.png
class ... h
0 0 ... 0.020649
1 0 ... 0.260936
2 0 ... 0.256251
3 0 ... 0.154750
[4 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_1_12.png
class ... h
0 0 ... 0.253906
1 0 ... 0.260156
2 0 ... 0.257811
3 0 ... 0.154750
4 0 ... 0.020646
[5 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_0.png
class ... h
0 0 ... 0.200779
1 0 ... 0.196094
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_1.png
class ... h
0 0 ... 0.183595
1 0 ... 0.188280
2 0 ... 0.193749
3 0 ... 0.197654
4 0 ... 0.196094
5 0 ... 0.202344
6 0 ... 0.200779
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8 0 ... 0.035731
9 0 ... 0.036432
10 0 ... 0.043716
[11 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_2.png
class ... h
0 0 ... 0.188280
1 0 ... 0.195315
2 0 ... 0.195315
3 0 ... 0.184375
4 0 ... 0.186720
5 0 ... 0.188280
6 0 ... 0.196874
7 0 ... 0.183595
8 0 ... 0.074387
9 0 ... 0.090176
10 0 ... 0.043716
11 0 ... 0.053808
12 0 ... 0.072584
13 0 ... 0.067756
14 0 ... 0.056343
15 0 ... 0.092348
16 0 ... 0.097474
[17 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_3.png
class ... h
0 0 ... 0.195315
1 0 ... 0.192970
2 0 ... 0.183595
3 0 ... 0.191404
4 0 ... 0.187500
5 0 ... 0.199999
6 0 ... 0.188280
7 0 ... 0.192970
8 0 ... 0.195315
9 0 ... 0.101357
10 0 ... 0.089131
11 0 ... 0.072584
12 0 ... 0.097474
13 0 ... 0.097869
14 0 ... 0.095427
[15 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_4.png
class ... h
0 0 ... 0.101357
1 0 ... 0.199999
2 0 ... 0.192970
3 0 ... 0.196874
4 0 ... 0.190625
[5 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_5.png
class ... h
0 0 ... 0.131479
1 0 ... 0.194529
2 0 ... 0.198439
3 0 ... 0.198439
4 0 ... 0.194529
5 0 ... 0.025977
[6 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_6.png
class ... h
0 0 ... 0.131479
1 0 ... 0.033716
2 0 ... 0.199219
3 0 ... 0.194529
4 0 ... 0.198439
5 0 ... 0.198439
6 0 ... 0.194529
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8 0 ... 0.192190
9 0 ... 0.196094
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11 0 ... 0.260936
12 0 ... 0.194529
13 0 ... 0.124484
14 0 ... 0.025977
15 0 ... 0.194529
16 0 ... 0.082909
17 0 ... 0.223311
18 0 ... 0.268750
19 0 ... 0.255471
[20 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_7.png
class ... h
0 0 ... 0.254686
1 0 ... 0.010686
2 0 ... 0.138273
3 0 ... 0.258596
4 0 ... 0.246091
5 0 ... 0.260936
6 0 ... 0.246877
7 0 ... 0.255471
8 0 ... 0.183897
9 0 ... 0.046489
10 0 ... 0.107420
11 0 ... 0.260936
12 0 ... 0.255471
[13 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_8.png
class ... h
0 0 ... 0.042817
1 0 ... 0.174013
2 0 ... 0.259376
3 0 ... 0.228908
4 0 ... 0.260936
5 0 ... 0.259376
6 0 ... 0.258596
7 0 ... 0.146613
8 0 ... 0.044082
9 0 ... 0.256251
10 0 ... 0.255471
11 0 ... 0.262501
12 0 ... 0.156060
[13 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_9.png
class ... h
0 0 ... 0.001493
1 0 ... 0.154097
2 0 ... 0.259376
3 0 ... 0.257811
4 0 ... 0.254686
5 0 ... 0.252341
6 0 ... 0.260156
7 0 ... 0.255471
8 0 ... 0.012495
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10 0 ... 0.174774
11 0 ... 0.256251
12 0 ... 0.190625
13 0 ... 0.255471
14 0 ... 0.233592
15 0 ... 0.262501
16 0 ... 0.263281
17 0 ... 0.156060
18 0 ... 0.159889
19 0 ... 0.034867
[20 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_10.png
class ... h
0 0 ... 0.154097
1 0 ... 0.257811
2 0 ... 0.252341
3 0 ... 0.255471
4 0 ... 0.034867
5 0 ... 0.259376
6 0 ... 0.044913
7 0 ... 0.178782
8 0 ... 0.256251
9 0 ... 0.257031
10 0 ... 0.255471
11 0 ... 0.253126
12 0 ... 0.250781
13 0 ... 0.140366
14 0 ... 0.009920
[15 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_11.png
class ... h
0 0 ... 0.210866
1 0 ... 0.253126
2 0 ... 0.256251
3 0 ... 0.234820
4 0 ... 0.105408
5 0 ... 0.258596
6 0 ... 0.081885
[7 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_2_12.png
class ... h
0 0 ... 0.251561
1 0 ... 0.105408
2 0 ... 0.242637
3 0 ... 0.260156
4 0 ... 0.258596
5 0 ... 0.081885
[6 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_1.png
class ... h
0 0 ... 0.157811
1 0 ... 0.043149
2 0 ... 0.042786
3 0 ... 0.043745
4 0 ... 0.041682
5 0 ... 0.044725
6 0 ... 0.045882
7 0 ... 0.046873
8 0 ... 0.045895
9 0 ... 0.045909
10 0 ... 0.053474
11 0 ... 0.047837
[12 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_2.png
class ... h
0 0 ... 0.124218
1 0 ... 0.042019
2 0 ... 0.199219
3 0 ... 0.102010
4 0 ... 0.199999
5 0 ... 0.104529
6 0 ... 0.199999
7 0 ... 0.055083
8 0 ... 0.051565
9 0 ... 0.052540
10 0 ... 0.053304
11 0 ... 0.050978
12 0 ... 0.055039
13 0 ... 0.055240
14 0 ... 0.056794
15 0 ... 0.055649
16 0 ... 0.055811
17 0 ... 0.055838
18 0 ... 0.049591
19 0 ... 0.098618
20 0 ... 0.053336
[21 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_3.png
class ... h
0 0 ... 0.199999
1 0 ... 0.055838
2 0 ... 0.058581
3 0 ... 0.060339
4 0 ... 0.098618
5 0 ... 0.209373
6 0 ... 0.107602
7 0 ... 0.193749
8 0 ... 0.098325
9 0 ... 0.190625
10 0 ... 0.100000
11 0 ... 0.105469
12 0 ... 0.105469
13 0 ... 0.102344
14 0 ... 0.060588
15 0 ... 0.065987
16 0 ... 0.065895
17 0 ... 0.064492
18 0 ... 0.063669
19 0 ... 0.063054
20 0 ... 0.062442
21 0 ... 0.062123
22 0 ... 0.068421
[23 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_5.png
class ... h
0 0 ... 0.169335
1 0 ... 0.198439
2 0 ... 0.189845
3 0 ... 0.197654
4 0 ... 0.195315
5 0 ... 0.189845
[6 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_6.png
class ... h
0 0 ... 0.067702
1 0 ... 0.169335
2 0 ... 0.196094
3 0 ... 0.198439
4 0 ... 0.202344
5 0 ... 0.189845
6 0 ... 0.197654
7 0 ... 0.195315
8 0 ... 0.196094
9 0 ... 0.189845
10 0 ... 0.023014
11 0 ... 0.169011
12 0 ... 0.260936
13 0 ... 0.260936
14 0 ... 0.261721
15 0 ... 0.261721
16 0 ... 0.256251
17 0 ... 0.247657
18 0 ... 0.169435
19 0 ... 0.043876
[20 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_7.png
class ... h
0 0 ... 0.269530
1 0 ... 0.070792
2 0 ... 0.199605
3 0 ... 0.253906
4 0 ... 0.249996
5 0 ... 0.256251
[6 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_8.png
class ... h
0 0 ... 0.251561
1 0 ... 0.097078
2 0 ... 0.279690
3 0 ... 0.256251
4 0 ... 0.261721
5 0 ... 0.260156
6 0 ... 0.238435
7 0 ... 0.082235
8 0 ... 0.104098
9 0 ... 0.258596
10 0 ... 0.277345
11 0 ... 0.263281
12 0 ... 0.155881
13 0 ... 0.011062
[14 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_9.png
class ... h
0 0 ... 0.254686
1 0 ... 0.251561
2 0 ... 0.222634
3 0 ... 0.097078
4 0 ... 0.058633
5 0 ... 0.254686
6 0 ... 0.280470
7 0 ... 0.253906
8 0 ... 0.246877
9 0 ... 0.246091
10 0 ... 0.194599
11 0 ... 0.098247
12 0 ... 0.279690
13 0 ... 0.261721
14 0 ... 0.256251
15 0 ... 0.244539
16 0 ... 0.104098
[17 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_10.png
class ... h
0 0 ... 0.058633
1 0 ... 0.280470
2 0 ... 0.246877
3 0 ... 0.246091
4 0 ... 0.098247
5 0 ... 0.114323
6 0 ... 0.246329
7 0 ... 0.262501
8 0 ... 0.263281
9 0 ... 0.250781
10 0 ... 0.256251
11 0 ... 0.258596
12 0 ... 0.216257
13 0 ... 0.081644
[14 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_11.png
class ... h
0 0 ... 0.038352
1 0 ... 0.260936
2 0 ... 0.175928
3 0 ... 0.253906
4 0 ... 0.264060
5 0 ... 0.253126
6 0 ... 0.001316
7 0 ... 0.255471
8 0 ... 0.257031
[9 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_3_12.png
class ... h
0 0 ... 0.175928
1 0 ... 0.253906
2 0 ... 0.264060
3 0 ... 0.260936
4 0 ... 0.253126
5 0 ... 0.136907
6 0 ... 0.001316
[7 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1397_4_0.png
class ... h
0 0 ... 0.098440
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[40 rows x 5 columns]
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[1 rows x 5 columns]
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[6 rows x 5 columns]
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[4 rows x 5 columns]
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[9 rows x 5 columns]
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[12 rows x 5 columns]
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[10 rows x 5 columns]
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[4 rows x 5 columns]
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[8 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P0841.png
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[3 rows x 5 columns]
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[2 rows x 5 columns]
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[6 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[3 rows x 5 columns]
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[2 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P2689.png
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[2 rows x 5 columns]
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[8 rows x 5 columns]
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[7 rows x 5 columns]
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[3 rows x 5 columns]
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[1 rows x 5 columns]
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[6 rows x 5 columns]
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[5 rows x 5 columns]
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[2 rows x 5 columns]
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[2 rows x 5 columns]
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[4 rows x 5 columns]
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[9 rows x 5 columns]
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[3 rows x 5 columns]
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[4 rows x 5 columns]
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[5 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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Image: /content/drive/MyDrive/dataset_tile/org/validation/P1390.png
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[1 rows x 5 columns]
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[4 rows x 5 columns]
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[1 rows x 5 columns]
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[10 rows x 5 columns]
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[12 rows x 5 columns]
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[6 rows x 5 columns]
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[9 rows x 5 columns]
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[5 rows x 5 columns]
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[4 rows x 5 columns]
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[2 rows x 5 columns]
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[11 rows x 5 columns]
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[5 rows x 5 columns]
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[20 rows x 5 columns]
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[24 rows x 5 columns]
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[13 rows x 5 columns]
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[14 rows x 5 columns]
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[10 rows x 5 columns]
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[17 rows x 5 columns]
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[1 rows x 5 columns]
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[4 rows x 5 columns]
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[2 rows x 5 columns]
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[20 rows x 5 columns]
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[23 rows x 5 columns]
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[11 rows x 5 columns]
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[19 rows x 5 columns]
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[9 rows x 5 columns]
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[17 rows x 5 columns]
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[2 rows x 5 columns]
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[4 rows x 5 columns]
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[13 rows x 5 columns]
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[10 rows x 5 columns]
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[20 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P1384.png
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[10 rows x 5 columns]
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[1 rows x 5 columns]
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[48 rows x 5 columns]
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[14 rows x 5 columns]
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[2 rows x 5 columns]
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[7 rows x 5 columns]
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[22 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[4 rows x 5 columns]
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[6 rows x 5 columns]
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[30 rows x 5 columns]
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[8 rows x 5 columns]
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[18 rows x 5 columns]
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[11 rows x 5 columns]
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[2 rows x 5 columns]
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[17 rows x 5 columns]
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[8 rows x 5 columns]
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[2 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[3 rows x 5 columns]
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[4 rows x 5 columns]
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[2 rows x 5 columns]
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[1 rows x 5 columns]
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[4 rows x 5 columns]
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[3 rows x 5 columns]
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[3 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[12 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[4 rows x 5 columns]
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[3 rows x 5 columns]
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[4 rows x 5 columns]
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Image: /content/drive/MyDrive/dataset_tile/org/validation/P1604.png
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[3 rows x 5 columns]
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[2 rows x 5 columns]
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[4 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[2 rows x 5 columns]
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[4 rows x 5 columns]
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[1 rows x 5 columns]
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class ... h
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[3 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P1566.png
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[1 rows x 5 columns]
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[3 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P1770.png
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[3 rows x 5 columns]
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[4 rows x 5 columns]
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[2 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P1149.png
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[3 rows x 5 columns]
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[1 rows x 5 columns]
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[4 rows x 5 columns]
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[3 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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class ... h
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[2 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P0257.png
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[4 rows x 5 columns]
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[23 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P1809.png
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[2 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[3 rows x 5 columns]
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[2 rows x 5 columns]
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[2 rows x 5 columns]
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[6 rows x 5 columns]
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[4 rows x 5 columns]
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class ... h
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[1 rows x 5 columns]
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[3 rows x 5 columns]
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[1 rows x 5 columns]
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[3 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[3 rows x 5 columns]
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class ... h
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[1 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P2242.png
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[45 rows x 5 columns]
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[22 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P1373.png
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[4 rows x 5 columns]
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[9 rows x 5 columns]
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[10 rows x 5 columns]
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[5 rows x 5 columns]
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[1 rows x 5 columns]
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[4 rows x 5 columns]
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[2 rows x 5 columns]
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[1 rows x 5 columns]
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[4 rows x 5 columns]
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[5 rows x 5 columns]
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class ... h
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[2 rows x 5 columns]
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[3 rows x 5 columns]
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[4 rows x 5 columns]
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[1 rows x 5 columns]
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[1 rows x 5 columns]
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[3 rows x 5 columns]
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[4 rows x 5 columns]
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[2 rows x 5 columns]
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[5 rows x 5 columns]
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[3 rows x 5 columns]
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[5 rows x 5 columns]
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[5 rows x 5 columns]
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[4 rows x 5 columns]
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[6 rows x 5 columns]
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[10 rows x 5 columns]
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[2 rows x 5 columns]
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[5 rows x 5 columns]
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class ... h
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[1 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P1529_5_5.png
class ... h
0 0 ... 0.098437
1 0 ... 0.089844
[2 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P0179.png
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_0_0.png
class ... h
0 0 ... 0.131250
1 0 ... 0.105467
2 0 ... 0.092969
[3 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_0_2.png
class ... h
0 0 ... 0.077342
[1 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_0_3.png
class ... h
0 0 ... 0.077342
[1 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_1_0.png
class ... h
0 0 ... 0.131250
1 0 ... 0.094530
2 0 ... 0.103125
[3 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_1_1.png
class ... h
0 0 ... 0.088278
1 0 ... 0.084375
2 0 ... 0.095311
3 0 ... 0.023924
[4 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_1_2.png
class ... h
0 0 ... 0.011313
[1 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_1_3.png
class ... h
0 0 ... 0.123436
1 0 ... 0.011313
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_2_0.png
class ... h
0 0 ... 0.078903
1 0 ... 0.078122
2 0 ... 0.078122
3 0 ... 0.082033
4 0 ... 0.092969
[5 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_2_1.png
class ... h
0 0 ... 0.081252
1 0 ... 0.052636
2 0 ... 0.080471
3 0 ... 0.080471
4 0 ... 0.084375
5 0 ... 0.090627
6 0 ... 0.078903
7 0 ... 0.085155
8 0 ... 0.089846
9 0 ... 0.006899
10 0 ... 0.082033
11 0 ... 0.091408
12 0 ... 0.089066
[13 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_2_2.png
class ... h
0 0 ... 0.118375
1 0 ... 0.081252
2 0 ... 0.088278
3 0 ... 0.078903
4 0 ... 0.070316
5 0 ... 0.084375
6 0 ... 0.075000
[7 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_2_3.png
class ... h
0 0 ... 0.118375
[1 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_2_4.png
class ... h
0 0 ... 0.085936
[1 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_3_1.png
class ... h
0 0 ... 0.082813
1 0 ... 0.077342
2 0 ... 0.071877
3 0 ... 0.073438
4 0 ... 0.082166
[5 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_3_2.png
class ... h
0 0 ... 0.082813
1 0 ... 0.075780
2 0 ... 0.071877
3 0 ... 0.080471
4 0 ... 0.079691
5 0 ... 0.077342
[6 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_3_4.png
class ... h
0 0 ... 0.102344
1 0 ... 0.088278
2 0 ... 0.079691
3 0 ... 0.096994
4 0 ... 0.097653
5 0 ... 0.077342
6 0 ... 0.025248
7 0 ... 0.061354
[8 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_3_5.png
class ... h
0 0 ... 0.015412
1 0 ... 0.013940
2 0 ... 0.091408
[3 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_4_3.png
class ... h
0 0 ... 0.107028
[1 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_4_4.png
class ... h
0 0 ... 0.010040
1 0 ... 0.038033
2 0 ... 0.088645
[3 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_4_5.png
class ... h
0 0 ... 0.075000
1 0 ... 0.067967
2 0 ... 0.084375
3 0 ... 0.078903
4 0 ... 0.092969
5 0 ... 0.098441
6 0 ... 0.068747
7 0 ... 0.066619
8 0 ... 0.076686
9 0 ... 0.071877
10 0 ... 0.084375
11 0 ... 0.076561
12 0 ... 0.044730
[13 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_4_6.png
class ... h
0 0 ... 0.075000
1 0 ... 0.083594
2 0 ... 0.074219
3 0 ... 0.091882
[4 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_5_5.png
class ... h
0 0 ... 0.039644
1 0 ... 0.075780
[2 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_5_6.png
class ... h
0 0 ... 0.082813
1 0 ... 0.004997
2 0 ... 0.097653
3 0 ... 0.092969
[4 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_6_5.png
class ... h
0 0 ... 0.099221
1 0 ... 0.120313
2 0 ... 0.104686
3 0 ... 0.206249
[4 rows x 5 columns]
/content/drive/MyDrive/dataset_tile/tiled/validation/P0179_6_6.png
class ... h
0 0 ... 0.109377
1 0 ... 0.206249
2 0 ... 0.113280
3 0 ... 0.124217
[4 rows x 5 columns]
Image: /content/drive/MyDrive/dataset_tile/org/validation/P2236.png
/content/drive/MyDrive/dataset_tile/tiled/validation/P2236_0_0.png
class ... h
0 0 ... 0.067187
1 0 ... 0.087500
2 0 ... 0.083594
3 0 ... 0.057031
4 0 ... 0.007142
5 0 ... 0.053906
6 0 ... 0.051562
7 0 ... 0.061719
8 0 ... 0.067969
9 0 ... 0.051562
10 0 ... 0.043750
11 0 ... 0.058594
12 0 ... 0.056250
[13 rows x 5 columns]
train: 536
test: 119
tiled_list = os.listdir('/content/drive/MyDrive/dataset_tile/tiled/validation')
Die enstandene Ordnerstruktur (validation -> images) entspricht nicht der Zielstruktur (images -> validation). Aus diesem Grund werden die Dateien erneut verschoben.
tiled_img = list()
tiled_txt = list()
for file in tiled_list:
if str.split(file, ".")[1] == "png":
tiled_img.append(file)
elif str.split(file, ".")[1] == "txt":
tiled_txt.append(file)
for file1 in tiled_img:
src_path = '/content/drive/MyDrive/dataset_tile/tiled/validation/' + file1
dst_path = '/content/drive/MyDrive/dataset_tile/tiled/validation/images/' + file1
shutil.move(src_path, dst_path)
#print('Copied')
for file1 in tiled_txt:
src_path = '/content/drive/MyDrive/dataset_tile/tiled/validation/' + file1
dst_path = '/content/drive/MyDrive/dataset_tile/tiled/validation/labels/' + file1
shutil.move(src_path, dst_path)
#print('Copied')
Tiling Background#
Wie oben erwähnt, funktioniert das erwähnte Repo nur für Bilder mit Labels. Da die Backgroundbilder keine Labels haben, müssen diese seperat “getilt” werden. Dafür werden die Bibliotheken cv2 und math genutzt.
def get_tiles(src_path,dst_path,file):
img = cv2.cvtColor(cv2.imread(f"{src_path}{file}"),cv2.COLOR_BGR2RGB)
img_shape = img.shape
tile_size = (640, 640)
offset = (640, 640)
for i in list(range(int(math.ceil(img_shape[0]/(offset[1] * 1.0))))):
for j in list(range(int(math.ceil(img_shape[1]/(offset[0] * 1.0))))):
cropped_img = img[offset[1]*i:min(offset[1]*i+tile_size[1], img_shape[0]), offset[0]*j:min(offset[0]*j+tile_size[0], img_shape[1])]
# Debugging the tiles
cv2.imwrite(dst_path + "debug_" + str(i) + "_" + str(j) + file, cv2.cvtColor(cropped_img,cv2.COLOR_BGR2RGB))
return (i+1)*(j+1)
Mit der oben aufgeführten Funktion werden die Bilder zerlegt. Da sich bei Bildern implizit um mehrdimensionale Listen handelt, werden diese entsprechend der gewünschten Teilung durch itteriert.
Wichtig hier ist es, die Farbkanäle mit cv2.COLOR_BGR2RGB anzupassen. Da diese durch die cv2-Bibliothek vertauscht werden.
dir_path = "/content/drive/MyDrive/dataset/labels/validation" #GoogleDrive Data Folders
img_path = "/content/drive/MyDrive/dataset/images/removed_background_validation/"
img_list_all = os.listdir(img_path)
labels_list_all = os.listdir(dir_path)
image_all = list()
for img in img_list_all:
image_all.append(str.split(img, ".")[0])
label_all = list()
for label in labels_list_all:
label_all.append(str.split(label, ".")[0])
background_img = list()
no_background_img = list()
for filename in image_all:
pic_name = filename+".png"
if filename in label_all:
no_background_img.append(pic_name)
else:
background_img.append(pic_name)
Um die Backgroundbilder zu ermitteln, werden alle Bilder die keine Labeldatei haben in eine Liste gespeichert.
count_tiles = 0
source_path = img_path
dest_path = '/content/drive/MyDrive/dataset_tile/tiled/images/validation/'
for i in background_img:
count_tiles += get_tiles(source_path,dest_path,i)
if count_tiles >= 207:
break
Anschließend werden die Backgroundbilder zerlegt bis 207 Kacheln entstanden sind. Die 207 entspricht der 10%-Anreicherung der Daten mit Backgroundbildern.
Rotate#
Um die Anzahl an Instanzen der Klasse Helikopter zu erhöhen, werden die vorhandenen Bilder und Label zusätzlich zu den YOLOv5 interen Funktionen um einen beliebigen Winkel gedreht.
img_list = list()
text_list = list()
label_list = os.listdir(myPath)
for filename in label_list:
path = myPath + "/" + filename
with open(path) as f:
for lines in f:
if (re.match("^1",lines)):
png = str.split(filename, ".")[0] + ".png"
txt = str.split(filename, ".")[0] + ".txt"
text_list.append(txt)
img_list.append(png)
continue
img_list = np.unique(img_list)
label_list = np.unique(text_list)
# return img_list, text_list
Dafür werden im ersten Schritt die Datein mit Helikoptern über die Einträge in der Labeldatei ermittelt.
Ähnlich wie bei dem Tiling ist auch beim Rotieren die Herausforderung das Label und Bilder rotiert werden müssen. Aus diesem Grund wird ebenfalls auf ein vorhandenes Gihtub-Repository zurückgegriffen. [Rizwan, 2020]
! git clone https://github.com/usmanr149/Yolo_bbox_manipulation.git
Cloning into 'Yolo_bbox_manipulation'...
remote: Enumerating objects: 23, done.
remote: Counting objects: 100% (23/23), done.
remote: Compressing objects: 100% (20/20), done.
remote: Total 23 (delta 7), reused 16 (delta 3), pack-reused 0
Unpacking objects: 100% (23/23), done.
Vorrausetzung für die Ausführung des Codes ist, dass sich die Bilder und Label im gleichen Ordner befinden. Aus diesem Grund müssen diese erneut verschoben werden.
for file1 in img_list:
src_path = '/content/drive/MyDrive/dataset/images/train/' + file1
dst_path = '/content/Yolo_bbox_manipulation/' + file1
shutil.copy(src_path, dst_path)
print('Copied')
for file1 in label_list:
src_path = '/content/drive/MyDrive/dataset/labels/train/' + file1
dst_path = '/content/Yolo_bbox_manipulation/' + file1
shutil.copy(src_path, dst_path)
print('Copied')
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%cd Yolo_bbox_manipulation
/content/Yolo_bbox_manipulation
Zum Rotieren wird rotate.py aus dem erwähnten Repository über die subprocess -Bibliothek aufgerufen. Die Bibliothek ermöglicht den Terminalaufruf in einer For-Schleife. Für einen signifikaten Anstieg der Instanzanzahl der Helikopter wird jedes Bild sechsmal rotiert. Bei jeder Rotation wird ein zufälliger Winkel zwischen 1 und 359 Grad genutzt.
counter = 0
import subprocess
img_list = img_list[1:]
# myangle="65"
for x in img_list:
for i in range(0,6):
myangle = str(np.random.randint(1,359))
cmd = "python rotate.py -i "+x+" -a "+myangle
subprocess.call(cmd, shell=True) # returns the exit code in unix
counter += 1
print('counter:', counter)
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Zum schnelleren Verschieben werden die rotierten Bilder gezippt. Für die Modellerstellung werden sie in die erläuterte Ordnerstruktur übertragen.
!zip -r /content/drive/MyDrive/heli_train_2nd_Round.zip /content/Yolo_bbox_manipulation
adding: content/Yolo_bbox_manipulation/ (stored 0%)
adding: content/Yolo_bbox_manipulation/rotated_P0223_81.jpg (deflated 1%)
adding: content/Yolo_bbox_manipulation/rotated_P1158_30.txt (deflated 62%)
adding: content/Yolo_bbox_manipulation/rotated_P1395_201.txt (deflated 64%)
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