Metadata-Version: 2.1
Name: gluon2keras
Version: 0.0.2
Summary: The deep learning models convertor
Home-page: https://github.com/nerox8664/gluon2keras
Author: Grigory Malivenko
Author-email: nerox8664@gmail.com
License: MIT
Description: # gluon2keras
        Gluon to Keras deep neural network model converter
        
        [![Build Status](https://travis-ci.com/nerox8664/gluon2keras.svg?branch=master)](https://travis-ci.com/nerox8664/gluon2keras)
        [![GitHub License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
        [![Python Version](https://img.shields.io/badge/python-2.7%2C3.6-lightgrey.svg)](https://github.com/nerox8664/gluon2keras)
        
        ## Installation
        
        ```
        git clone https://github.com/nerox8664/gluon2keras
        cd gluon2keras
        pip install -e .
        ```
        
        or you can use `pip`:
        
        ```
        pip install gluon2keras
        ```
        
        ## Usage
        
        ```
        # Get a model from gluon cv
        from gluoncv2.model_provider import get_model as glcv2_get_model
        net = glcv2_get_model("xception")
        
        # Make sure it's hybrid and initialized
        net.hybridize()
        net.collect_params().initialize()
        
        # Test input
        input_np = np.random.uniform(0, 1, (1, 3, 299, 299))
        gluon_output = net(mx.nd.array(input_np))
        
        # Keras model
        k_model = gluon2keras(net, [(1, 3, 299, 299)], verbose=True, names='short')
        error = check_error(gluon_output, k_model, input_np)
        ```
        
        ## Code snippets
        Look at the `tests` directory.
        
        ## License
        This software is covered by MIT License.
Platform: UNKNOWN
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