Metadata-Version: 2.1
Name: deepfeatx
Version: 0.0.2b0
Summary: "Automatic Feature Extraction in Images and Texts using Transfer Learning"
Home-page: https://github.com/wittmannf/deepfeatx/tree/{branch}/
Author: Fernando M Wittmann
Author-email: fernando.wittmann@gmail.com
License: Apache Software License 2.0
Keywords: deep learning,transfer learning,feature extraction,bottleneck features
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.18.1)
Requires-Dist: tensorflow (>=1.14.0)
Requires-Dist: torchvision (>=0.2.2)
Requires-Dist: requests (>=2.23.0)
Requires-Dist: pandas (>=1.0.3)
Requires-Dist: matplotlib (>=3.1.3)
Requires-Dist: Pillow (>=8.2.0)
Requires-Dist: scipy (>=1.4.1)
Requires-Dist: scikit-learn (>=0.23.2)
Requires-Dist: seaborn (>=0.10.0)

# `deepfeatx`: Deep Learning Feature Extractor of Images using Transfer Learning Models
> Helper for automatic extraction of features from images (and soon text as well) from transfer learning models like ResNet, VGG16 and EfficientNet.


## Install

`pip install deepfeatx`


