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Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.

Python 1.86% Shell 0.01% Jupyter Notebook 98.14%
data-augmentation image-segmentation retinal-vessel-segmentation u-net

retinal-vessel-segmentation's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @onurboyar
  • ๐Ÿ‘€ Iโ€™m researcher at RIKEN and Ph.D. Student at Nagoya University, Japan.
  • My research interests are: Latent Space Bayesian Optimization, Generative Models for Sequence data, MCMC
  • ๐Ÿ“ซ Personal Website: onurboyar.com

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retinal-vessel-segmentation's Issues

Test only 27 images

@onurboyar

Thank you for your code, it is beneficial to me.

I have my private dataset, and my U-net code runs correctly (train and test) on the full dataset.
I want to test the model on only 27 images. When I execute evaluate function, I meet this error :

**InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: slice index 1 of dimension 2 out of bounds.
[[{{node strided_slice_1}}]]
[[IteratorGetNext]]
[[IteratorGetNext/_4]]
(1) Invalid argument: slice index 1 of dimension 2 out of bounds.
[[{{node strided_slice_1}}]]
[[IteratorGetNext]]
0 successful operations.
0 derived errors ignored. [Op:__inference_test_function_12429]

Function call stack:
test_function -> test_function**

Can you please help me?
thank you

Pretrained Weights

Thanks for sharing your work.
Please share your Pretrained Weights for this work for further analysis, as it would help me and verify your results.
I really appreciate it if you answer these questions. Thanks very much.

I got empty png result

Hi,

My result are empty png as below. I used drive dataset and I convert all images to png before traninig.

1 (1)

How can I fix it?

Thank you

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