keras_to_tensorflow | General code to convert a trained keras model | Machine Learning library

by amir-abdi Python Version: Current License: MIT

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

kandi X-RAY | keras_to_tensorflow Summary

keras_to_tensorflow is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Neural Network applications. keras_to_tensorflow has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

General code to convert a trained keras model into an inference tensorflow model

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keras_to_tensorflow has a medium active ecosystem.

It has 1656 star(s) with 546 fork(s). There are 48 watchers for this library.

It had no major release in the last 6 months.

There are 62 open issues and 50 have been closed. On average issues are closed in 47 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of keras_to_tensorflow is current.

Quality

keras_to_tensorflow has 0 bugs and 0 code smells.

Security

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

keras_to_tensorflow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

keras_to_tensorflow is licensed under the MIT License. This license is Permissive.

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

Reuse

keras_to_tensorflow 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.

Installation instructions are not available. Examples and code snippets are available.

keras_to_tensorflow saves you 121 person hours of effort in developing the same functionality from scratch.

It has 305 lines of code, 4 functions and 2 files.

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

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keras_to_tensorflow Key Features

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keras_to_tensorflow Examples and Code Snippets

No Code Snippets are available at this moment for keras_to_tensorflow.

Community Discussions

Trending Discussions on keras_to_tensorflow

How do I properly convert a h5 file to pb

QUESTION

How do I properly convert a h5 file to pb

Asked 2021-Feb-12 at 02:53

So I trained a model using https://teachablemachine.withgoogle.com/ and it gave me a keras_model.h5 file and a labels.txt and I want to use it with OpenCV for some object detection but I've only used OpenCV with .pb files. So I'm thinking that I would have to convert it somehow. So I started looking around and I found this. https://github.com/amir-abdi/keras_to_tensorflow and when I try to run the script in my conda environment it throws this exception.

...

ANSWER

Answered 2021-Feb-12 at 02:53

First load the keras .h5 model and save loaded model as .pb

Source https://stackoverflow.com/questions/65855894

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

Vulnerabilities

No vulnerabilities reported

Install keras_to_tensorflow

You can download it from GitHub.
You can use keras_to_tensorflow 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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