satellite-image-segmentation | keras implementation of a machine learning algorithm
kandi X-RAY | satellite-image-segmentation Summary
kandi X-RAY | satellite-image-segmentation Summary
satellite-image-segmentation is a Python library. satellite-image-segmentation has no bugs, it has no vulnerabilities and it has low support. However satellite-image-segmentation build file is not available. You can download it from GitHub.
A TensorFlow / keras implementation of a machine learning algorithm for finding features in satellite imagery. This uses the DSTL data set as a starting point for training an image segmentation net (The neural net used is the UNET for detecting features from an annotated dataset. The layers are set up as outlined in the original paper by Ronneberger, Fischer and Brox (arXiv:1505.04597). The number of channels is set to 10 for the different bands of satellite imaging data and the largest convolutional layer of the net is 512x512x3. The viewer tool can be used to create annotated data for use in the training and classifying.
A TensorFlow / keras implementation of a machine learning algorithm for finding features in satellite imagery. This uses the DSTL data set as a starting point for training an image segmentation net (The neural net used is the UNET for detecting features from an annotated dataset. The layers are set up as outlined in the original paper by Ronneberger, Fischer and Brox (arXiv:1505.04597). The number of channels is set to 10 for the different bands of satellite imaging data and the largest convolutional layer of the net is 512x512x3. The viewer tool can be used to create annotated data for use in the training and classifying.
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satellite-image-segmentation has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
satellite-image-segmentation has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of satellite-image-segmentation is current.
Quality
satellite-image-segmentation has no bugs reported.
Security
satellite-image-segmentation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
satellite-image-segmentation 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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satellite-image-segmentation releases are not available. You will need to build from source code and install.
satellite-image-segmentation has no build file. You will be need to create the build yourself to build the component from source.
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satellite-image-segmentation Key Features
No Key Features are available at this moment for satellite-image-segmentation.
satellite-image-segmentation Examples and Code Snippets
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Community Discussions
No Community Discussions are available at this moment for satellite-image-segmentation.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install satellite-image-segmentation
You can download it from GitHub.
You can use satellite-image-segmentation 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 satellite-image-segmentation 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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