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Python package to extract deep learning features

Project description

Overview

Minimalistic python package to extract deep learning features from a wide variety of pretrained models in Pytorch.

Installation / Usage

Dependencies:

  • pytorch (v >= 1.0.0)
  • torchvision

To install use pip:

$ pip install imfeatures

Or clone the repo:

$ git clone https://github.com/resbyte/imfeatures.git

$ python setup.py install

Example

  • Imports

`python import imfeatures import torch `

  • create feature extractor, here resnet50, with pretrained weights

`python feature_extractor = imfeatures.Features('resnet50',pretrained=True) `

  • random image of size 224x224x3

`python x = torch.randn([1,3,224,224]) `

  • features

`python features = feature_extractor(x) print(features.shape) `

Output features will be of shape : [1, 2048, 1, 1]

Author

Abhinav Dadhich

Project details


Release history Release notifications

This version

0.0.2

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