Doesn't Correctly Identify Bibs on Sample Images
Opened this issue · 4 comments
I cloned the repo and ran the code, but it is not correctly identifying the bibs. Here is the output
Michaels-iMac:bib-tagger michael$ python main.py
Searching for image folders in /Users/michael/Documents/Developer/Python/bib-tagger/photos folder
Collecting images from directory Frosty5k
Extracting bibs.
=======================================
Processing Image: ('Frosty5k', '1.jpg')
Found 1 bodies!
0.856932
/Users/michael/Documents/Developer/Python/bib-tagger/bibtagger/swt.py:79: RuntimeWarning: invalid value encountered in true_divide
grad_x_g = step_x_g / mag_g
/Users/michael/Documents/Developer/Python/bib-tagger/bibtagger/swt.py:80: RuntimeWarning: invalid value encountered in true_divide
grad_y_g = step_y_g / mag_g
1.062268
2.616008
4.43
Result: 1 faces, 1 bibs, 0 SWT, 1 bib numbers: (['443'])
=======================================
Processing Image: ('Frosty5k', '2.jpg')
Found 2 bodies!
4.686152
4.926471
6.687606
53 .
8.346033
8.672481
11.097825
1 25
Result: 2 faces, 1 bibs, 0 SWT, 2 bib numbers: (['53', '125'])
=======================================
Processing Image: ('Frosty5k', '3.jpg')
Found 1 bodies!
13.088198
14.971595
17.342941
732
Result: 1 faces, 1 bibs, 0 SWT, 1 bib numbers: (['732'])
=======================================
Processing Image: ('Frosty5k', '4.jpg')
Found 3 bodies!
19.198021
19.621269
22.012276
177
23.756217
25.285232
27.524981
131
28.83732
29.817338
33.595866
-375
Result: 3 faces, 3 bibs, 0 SWT, 3 bib numbers: (['177', '131', '375'])
=======================================
Processing Image: ('Frosty5k', '5.jpg')
Found 3 bodies!
37.081567
37.784887
39.431238
1211
40.283858
3
42.352267
1 4
Result: 3 faces, 1 bibs, 0 SWT, 3 bib numbers: (['1211', '3', '14'])
=======================================
Processing Image: ('Frosty5k', '6.jpg')
Found 4 bodies!
46.196382
47.380527
51.95717
53.607039
54.132104
56.781109
.5
59.234034
61.504055
18.9
64.773113
1 1
Result: 4 faces, 0 bibs, 0 SWT, 3 bib numbers: (['5', '189', '11'])
=======================================
Processing Image: ('Frosty5k', 'bib.jpg')
Found 1 bodies!
68.276262
2
Result: 1 faces, 0 bibs, 0 SWT, 1 bib numbers: (['2'])
Collecting images from directory GloryDays
Extracting bibs.
=======================================
Processing Image: ('GloryDays', '1.jpg')
Found 2 bodies!
69.632925
69.768516
70.736912
1
71.623225
3553
Result: 2 faces, 1 bibs, 0 SWT, 2 bib numbers: (['1', '3553'])
=======================================
Processing Image: ('GloryDays', '2.jpg')
Found 1 bodies!
73.573601
35 31
Result: 1 faces, 0 bibs, 0 SWT, 1 bib numbers: (['3531'])
=======================================
Processing Image: ('GloryDays', '3.jpg')
Found 1 bodies!
76.312287
3731
Result: 1 faces, 1 bibs, 0 SWT, 1 bib numbers: (['3731'])
=======================================
Processing Image: ('GloryDays', '4.jpg')
Found 1 bodies!
77.545362
3 9
Result: 1 faces, 1 bibs, 0 SWT, 1 bib numbers: (['39'])
=======================================
Processing Image: ('GloryDays', 'bib-sample.jpg')
Found 0 bodies!
Result: 0 faces, 0 bibs, 0 SWT, 0 bib numbers: ([])
=======================================
FINAL STATS
Faces: 20
Bibs: 10
SWT: 0
Bib Numbers: 19
('Bib Index: ',
{'1': [('GloryDays',
'1.jpg')],
'11': [('Frosty5k',
'6.jpg')],
'1211': [('Frosty5k',
'5.jpg')],
'125': [('Frosty5k',
'2.jpg')],
'131': [('Frosty5k',
'4.jpg')],
'14': [('Frosty5k',
'5.jpg')],
'177': [('Frosty5k',
'4.jpg')],
'189': [('Frosty5k',
'6.jpg')],
'2': [('Frosty5k',
'bib.jpg')],
'3': [('Frosty5k',
'5.jpg')],
'3531': [('GloryDays',
'2.jpg')],
'3553': [('GloryDays',
'1.jpg')],
'3731': [('GloryDays',
'3.jpg')],
'375': [('Frosty5k',
'4.jpg')],
'39': [('GloryDays',
'4.jpg')],
'443': [('Frosty5k',
'1.jpg')],
'5': [('Frosty5k',
'6.jpg')],
'53': [('Frosty5k',
'2.jpg')],
'732': [('Frosty5k',
'3.jpg')]})
Good day!
I got not the same result, but too awful.
I try to research this project and code something reasonable.
If anybody wanna work with it, let me know pls.
just starting and want to help.
first I had to change some functions because I'm using python 3
got the same error "invalid value encountered in true_divide" but I found that is normal, because of some empty areas with no derivative. there's a way to avoid the error message.
I am not not able to run the main.py itself....
Searching for image folders in /var/www/html/multiple_files/bib-tagger-master/photos folder
Collecting images from directory GloryDays
Extracting bibs.
Processing Image: ('GloryDays', '1.jpg')
Found 1 bodies!
Traceback (most recent call last):
File "main.py", line 44, in
results.append(bt.findBibs(image,os.path.join(outfolder,img_namelist[idx][0],img_namelist[idx][1])))
File "/var/www/html/multiple_files/bib-tagger-master/bibtagger/bibtagger.py", line 34, in findBibs
bibs = [ Bib(image, bodybox) for bodybox in bodyboxes ]
File "/var/www/html/multiple_files/bib-tagger-master/bibtagger/bib.py", line 10, in init
self.corners = bf.find_bib(self.body_image())
File "/var/www/html/multiple_files/bib-tagger-master/bibtagger/find_bibs.py", line 23, in find_bib
threshold_contours,hierarchy = find_contours(binary)
ValueError: too many values to unpack
How did you run the program @bodagetta ???