Intel-Movidius-NCS-Keras | Runing Keras with Intel Movidius Neural Compute Stick

by ardamavi Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Intel-Movidius-NCS-Keras Summary

Intel-Movidius-NCS-Keras is a Python library. Intel-Movidius-NCS-Keras has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Official Web Page: developer.movidius.com.

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Quality

Security

License

Reuse

Support

Intel-Movidius-NCS-Keras has a low active ecosystem.

It has 79 star(s) with 19 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 4 have been closed. On average issues are closed in 71 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Intel-Movidius-NCS-Keras is current.

Quality

Intel-Movidius-NCS-Keras has 0 bugs and 0 code smells.

Security

Intel-Movidius-NCS-Keras has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Intel-Movidius-NCS-Keras code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Intel-Movidius-NCS-Keras is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Intel-Movidius-NCS-Keras releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Intel-Movidius-NCS-Keras saves you 33 person hours of effort in developing the same functionality from scratch.

It has 89 lines of code, 14 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Intel-Movidius-NCS-Keras and discovered the below as its top functions. This is intended to give you an instant insight into Intel-Movidius-NCS-Keras implemented functionality, and help decide if they suit your requirements.

Creates a NCS model and returns it
Get the graph from a file
Get a list of devices
Get a mvnc device object
Create and return a NCS model
Opens a device
Convert a keras model to a graph
Read a Keras model
Convert keras to tf model
Convert tf model to graph
Release the Ncs model
Close a device
Drop an NCS model

Get all kandi verified functions for this library.

Intel-Movidius-NCS-Keras Key Features

No Key Features are available at this moment for Intel-Movidius-NCS-Keras.

Intel-Movidius-NCS-Keras Examples and Code Snippets

No Code Snippets are available at this moment for Intel-Movidius-NCS-Keras.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Intel-Movidius-NCS-Keras

You can download it from GitHub.
You can use Intel-Movidius-NCS-Keras 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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