A simple code for the retina vessel segmentation (DRIVE dataset) using the UNET architecture in TensorFlow 2.0
DATASET: DRIVE
This repository contains the code for the Retina Vessel Segmentation (DRIVE) using the UNET architecture in TensorFlow 2.0
A simple code for the retina vessel segmentation (DRIVE dataset) using the UNET architecture in TensorFlow 2.0
DATASET: DRIVE
Hello,
I have been following your tutorial. It seems in the video, you are getting around 0.9, but running on Colab is giving me a max of 0.4 accuracy. Do you have any suggestions? Here's a link to my colab. Thanks!
https://colab.research.google.com/drive/1T3dSEM7ZVisle9g3s6g5Y_AypNsuhph_?usp=sharing
i get this error 'Could not find a format to read the specified file in ImageMode.multi_image mode' when i execute the method def augment_data
my image is not augmented, when i print the augmet variabel on def augment, the result is False, not True
Please, help us have the link in order to download the .tif original dataset. Because In "new_data" folder is files with .jpg format.
Thank you very much.
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