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A PyTorch implementation of ANTNet

License: MIT License

Python 100.00%
pytorch imagenet mobilenetv2 coreml-image-classifier antnet

antnet's Introduction

ANTNet in PyTorch

This repository contains a PyTorch implementation of the mobile convolutional architecture given in ANTNets.

Implementation comparison

The following model comparison is with reference to ANTNet for ImageNet as given in the paper.

Parameter Official Ours
Number of parameters (g = 1) 3.7M 3.81M
Number of parameters (g = 2) 3.2M 3.33M

Usage

The cfg_antnet.py module has the model and training configuration in the form of dict. This module can be passed to a training module to initialize the model and kickstart training. An example module train.py is given for reference and can be used as follows:

python3 train.py --cfg cfg_antnet.py

Contribution

Please feel free to write an issue in case you find a bug. Additional recommendations for features are welcome too!

antnet's People

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