TensorFlowAndroidDemo | TensorFlow Android stand-alone demo | Machine Learning library

by miyosuda C++ Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | TensorFlowAndroidDemo Summary

TensorFlowAndroidDemo is a C++ library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. TensorFlowAndroidDemo has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

TensorFlow Android stand-alone demo

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Quality

Security

License

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Support

TensorFlowAndroidDemo has a low active ecosystem.

It has 284 star(s) with 120 fork(s). There are 27 watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 5 have been closed. On average issues are closed in 36 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TensorFlowAndroidDemo is current.

Quality

TensorFlowAndroidDemo has no bugs reported.

Security

TensorFlowAndroidDemo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

TensorFlowAndroidDemo 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.

Reuse

TensorFlowAndroidDemo releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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TensorFlowAndroidDemo Key Features

No Key Features are available at this moment for TensorFlowAndroidDemo.

TensorFlowAndroidDemo Examples and Code Snippets

No Code Snippets are available at this moment for TensorFlowAndroidDemo.

Community Discussions

Trending Discussions on TensorFlowAndroidDemo

Use my own images with tensorflow?

QUESTION

Use my own images with tensorflow?

Asked 2017-Apr-21 at 13:35

I am working with this demo of tensorflow : https://github.com/miyosuda/TensorFlowAndroidDemo (Android Studio project without Bazel)

Can I use tensorflow with my own images ? How ? Is there any example to set a new dataset?

...

ANSWER

Answered 2017-Apr-21 at 13:35

1) You have to setup your own tensorflow environment first, using virtualenv (or docker or anaconda) first ( refer https://www.tensorflow.org/install/ )

2) And then, clone tensorflow source repo : https://github.com/tensorflow/tensorflow

3) After that, you should build several files for training/testing your own images and creating/optimizing graph files such as retrain, optimize_for_inference, quantization, etc.

4) Put your own images in appropriate classified names in the training folder

5) start training

Refer this page for how to (re)train images and put them onto android demo:

https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/index.html#0 (This tutorial assumes you're using docker, but virtualenv and/or anaconda is almost same in how to do it)

and this Peter Warden's blog: https://petewarden.com/2016/09/27/tensorflow-for-mobile-poets/ for mobile implementation (it's based on ios example but can be applied to android also)

Source https://stackoverflow.com/questions/43491047

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

Vulnerabilities

No vulnerabilities reported

Install TensorFlowAndroidDemo

First install NDK, and set path for NDK tools, and then type commands below to create .so file.

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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