deeplabv3plus-keras-jupyter-notebook | use jupyter notebook of the popular Deeplab V3
kandi X-RAY | deeplabv3plus-keras-jupyter-notebook Summary
kandi X-RAY | deeplabv3plus-keras-jupyter-notebook Summary
deeplabv3plus-keras-jupyter-notebook is a Python library. deeplabv3plus-keras-jupyter-notebook has no bugs, it has no vulnerabilities and it has low support. However deeplabv3plus-keras-jupyter-notebook build file is not available. You can download it from GitHub.
A simple and easy to use jupyter notebook of the popular Deeplab V3 plus algorithm, originally implemented by the user bonlime
A simple and easy to use jupyter notebook of the popular Deeplab V3 plus algorithm, originally implemented by the user bonlime
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deeplabv3plus-keras-jupyter-notebook has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
deeplabv3plus-keras-jupyter-notebook has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of deeplabv3plus-keras-jupyter-notebook is current.
Quality
deeplabv3plus-keras-jupyter-notebook has no bugs reported.
Security
deeplabv3plus-keras-jupyter-notebook has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
deeplabv3plus-keras-jupyter-notebook does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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deeplabv3plus-keras-jupyter-notebook releases are not available. You will need to build from source code and install.
deeplabv3plus-keras-jupyter-notebook has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed deeplabv3plus-keras-jupyter-notebook and discovered the below as its top functions. This is intended to give you an instant insight into deeplabv3plus-keras-jupyter-notebook implemented functionality, and help decide if they suit your requirements.
- Creates a McKeeplabv3 model
- Inverse convolution block
- Separated convolution layer
- Xception block
- 2D conv2D convolutional layer
- Divide a value into a divisible by divisor
- Extract tensors from checkpoint file
- Return the filename for the given key
- Retrieve the filename for a given key
Get all kandi verified functions for this library.
deeplabv3plus-keras-jupyter-notebook Key Features
No Key Features are available at this moment for deeplabv3plus-keras-jupyter-notebook.
deeplabv3plus-keras-jupyter-notebook Examples and Code Snippets
No Code Snippets are available at this moment for deeplabv3plus-keras-jupyter-notebook.
Community Discussions
No Community Discussions are available at this moment for deeplabv3plus-keras-jupyter-notebook.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install deeplabv3plus-keras-jupyter-notebook
You can download it from GitHub.
You can use deeplabv3plus-keras-jupyter-notebook 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.
You can use deeplabv3plus-keras-jupyter-notebook 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.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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