Metadata-Version: 2.1
Name: keras-data-format-converter
Version: 0.0.1
Summary: Generating equal keras models with th desired data format
Home-page: https://github.com/tensorleap/keras-data-format-converter
Author: Doron Har Noy
Author-email: doron.harnoy@tensorleap.ai
License: MIT
Download-URL: https://github.com/tensorleap/keras-data-format-converter/archive/v0.0.1.tar.gz
Description: # Keras data format converter
        
        Generating equal keras models with the desired data format  
        
        
        ## Requirements
        tensorflow >= 2.0
        
        
        ## API
        `convert_channels_first_to_last(model: keras.Model, inputs_to_transpose: List[str] = None, verbose: bool = False) -> keras.Model`
        
        `convert_channels_last_to_first(model: tf.keras.Model, inputs_to_transpose: List[str] = None, verbose: bool = False) \
                -> tf.keras.Model`
        
        `model`: Keras model to convert
        
        `inputs_to_transpose`: list of input names that need to be transposed due tothe data foramt changing  
        
        `verbose`: detailed output
        
        ## Getting started
        
        ```python
        from tensorflow import keras
        from keras_data_format_converter import convert_channels_last_to_first
        
        # Load Keras model
        keras_model = keras.models.load_model("my_image_model")
        
        # Call the converter (image_input is an input that needs to be transposed, can be different for your model)
        converted_model = convert_channels_last_to_first(keras_model, ["image_input"])
        ```
        
        ## License
        This software is covered by MIT License.
        
Keywords: machine-learning deep-learning keras neuralnetwork vgg resnet tensorleap
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Description-Content-Type: text/markdown
