IterNet | Retinal Image Segmentation | Computer Vision library
kandi X-RAY | IterNet Summary
kandi X-RAY | IterNet Summary
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. High-accuracy medical retina (eye) image segmentation.
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Top functions reviewed by kandi - BETA
- Predict for training images
- Evaluate the ROC curve
- Train the model
- Generate random images
- Randomly crop the image
- Prepare a dataset
- Check if raw_data_path exists in the raw_data_path
- Preprocesses data files
- Create a hdf5 dataset
- Extract the test patches from an image
- Extracts the number of patches for the image
- Paint the border of the image
- Generate random image
- Random contrast
- Randomly flip the image
- Return a random brightness image
IterNet Key Features
IterNet Examples and Code Snippets
Community Discussions
Trending Discussions on IterNet
QUESTION
I have the following piece of code I need in order to update a bootstrap button when a collapsed is opened or closed. However the icon part is updating but impossible to get the button text updated and I have no idea why.
My javascript level is very low and I'm simply using part of code I might find on SOF or anywhere else on internet.
Javascript
...ANSWER
Answered 2021-Oct-01 at 10:43that textContent
is not a function but a property,
so instead of calling it you need to assign the value to it:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install IterNet
You can use IterNet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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