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55 Open 28 Closed
55 Open 28 Closed
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Issues list

semi-supervised learning
#94 opened Nov 24, 2023 by scyqz3
Any subsequent image repair work
#93 opened Dec 2, 2022 by Yilp
Trouble with model architecture
#92 opened Oct 27, 2022 by Mr-Akbari
1
Process finished with exit code -1073740791 (0xC0000409)
#90 opened Mar 13, 2022 by Young-Edwards
1
Why i am getting less performance than yours?
#89 opened Dec 13, 2021 by AliSaeed86
please help "ImportError: No module named visualize_util
#87 opened Aug 7, 2021 by tphankr
How to python run_training.py ?
#86 opened Aug 7, 2021 by tphankr
version
#85 opened Jun 26, 2021 by Fanthers
how to create overlapping patches from images
#84 opened Jan 25, 2021 by aditya240788
ImportError: cannot import name 'jaccard_similarity_score'
#83 opened Dec 27, 2020 by SGD822
1
Keras and tf version
#81 opened Mar 24, 2020 by margauxtornqvist
2
how to train on my own database
#80 opened Mar 19, 2020 by manvirvirk
1
how to train on other database?
#79 opened Mar 19, 2020 by manvirvirk
Could not get the files after running training code
#77 opened Feb 4, 2020 by boba1234
3
Why is there no 1st_manual and 2nd_manual under test file after I download the DIRVE?
#76 opened Nov 26, 2019 by shanhong-liu
4
only the configuration.txt file is available in the resulting test folder
#75 opened Sep 8, 2019 by shubashri123
Produce the segmentation for a whole image.
#74 opened Aug 17, 2019 by AlaaSulaiman
Assertion Error
#73 opened Aug 6, 2019 by MaleehaKhan
3
I really doubt the evaluation metric auc curve is not favorable?
#72 opened Jul 14, 2019 by zhangrong1722
1
The model is not trainable
#71 opened Jul 11, 2019 by kingman1980
How to do test_border_masks of STARE
#70 opened Jun 27, 2019 by Liuyu04
What kind of upsamling is used here
#69 opened Jun 27, 2019 by anitstanly
error about data_format
#68 opened Jun 26, 2019 by Liuyu04
errors in Windows+tensorflow_GPU environment
#67 opened Jun 14, 2019 by IronLavender
3
Prediction of a general fundus image from hospital
#66 opened Jun 12, 2019 by anitstanly
3
ProTip! Exclude everything labeled bug with -label:bug.