caffe-tensorflow | caffe model tensorflow model transform | Machine Learning library

by blankWorld Python Version: Current License: MIT

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

kandi X-RAY | caffe-tensorflow Summary

caffe-tensorflow is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. caffe-tensorflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However caffe-tensorflow build file is not available. You can download it from GitHub.

caffe model<==>tensorflow model transform (include:conv,fc,prelu,bn....)

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caffe-tensorflow has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

caffe-tensorflow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of caffe-tensorflow is current.

Quality

caffe-tensorflow has 0 bugs and 0 code smells.

Security

caffe-tensorflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

caffe-tensorflow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

caffe-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.

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caffe-tensorflow releases are not available. You will need to build from source code and install.

caffe-tensorflow has no build file. You will be need to create the build yourself to build the component from source.

It has 1326 lines of code, 15 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Create the model
Get a weight variable
Get a bias variable
Transform a 2D tensor
Transpose a tensor

Get all kandi verified functions for this library.

caffe-tensorflow Key Features

No Key Features are available at this moment for caffe-tensorflow.

caffe-tensorflow Examples and Code Snippets

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Community Discussions

Trending Discussions on caffe-tensorflow

Incomparable weight shape between caffe and tensorflow / keras

QUESTION

Incomparable weight shape between caffe and tensorflow / keras

Asked 2022-Feb-09 at 18:45

I am trying to convert a caffe model to keras, I have successfully been able to use both MMdnn and even caffe-tensorflow. The output I have are .npy files and .pb files. I have not had much luck with the .pb files, so I stuck to .npy files which contain the weights and biases. I have reconstructed an mAlexNet network as follows:

...

ANSWER

Answered 2022-Feb-09 at 18:45

The problem is the bias vector. It is shaped as a 4D tensor but Keras assumes it is a 1D tensor. Just flatten the bias vector:

Source https://stackoverflow.com/questions/71054511

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

Vulnerabilities

No vulnerabilities reported

Install caffe-tensorflow

You can download it from GitHub.
You can use caffe-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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