Metadata-Version: 2.1
Name: h5imagegenerator
Version: 1.1.0
Summary: A dead simple Keras HDF5 ImageDataGenerator
Home-page: https://github.com/angulartist/hdf5generator
Author: @angulartist
Author-email: michel@kebab.io
License: BSD
Download-URL: https://github.com/angulartist/hdf5generator/tarball/1.1.0
Description: Keras HDF5 ImageDataGenerator
        ===============================
        
        A dead simple Keras HDF5 ImageDataGenerator.
        
        Overview
        --------
        
        Sometimes you'd like to work with large scale image datasets that cannot fit into the memory. Keras provides data generators to feed your network with mini-batch of data directly from a directory, simply by passing the image paths. But this method is terribly inefficient because during training, the model has to deal with massive I/Os operations on disk which introduces huge latency.
        
        A more efficient way is to take advantage of HDF5 data structure which is optimized for I/O operations. The idea is to (1) store your raw images (and their labels) to an HDF5 file, and to (2) create a generator that will load and preprocess mini-batches in real-time.
        
        Installation / Usage
        --------------------
        
        To install use pip:
        
            $ pip install hdf5generator
        
        
        Or clone the repo:
        
            $ git clone https://github.com/angulartist/hdf5generator.git
            $ python setup.py install
            
        Contributing
        ------------
        
        michel @angulartist
        
        Example
        -------
        
        Please take a look the to generator.py file to see very basic examples.
        
        TODO LIST
        -------
        * [x] Generator
        * [] Docs
        * [] 
        * [] 
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3
Description-Content-Type: text/markdown
