Official code for the ICCV 2021 paper "DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders"

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Deep LearningDECA
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DECA

Official code for the ICCV 2021 paper "DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders". All the code is written using Pytorch Lightning. Please use Pipenv to configure the virtual environment required to run the code.

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How to run

Use the following command to configure the virtual environment:

pipenv install

To configure all the network parameters, including the dataset paths and hyperparameters, please edit the file:

config/config_TV.cfg

or add each parameter as a runtime flag while executing the main.py file as follows:

python main.py --flagfile config/config_TV.cfg

As an example, to run the network in training mode with a dataset stored in , you can run the following command:

python main.py --flagfile config/config_TV.cfg --mode train --dataset_dir <datasetpath>
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