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Requirements

  • Python: 3.11
  • ffmpeg
  • libsm6
  • libxext6

Setup

To run the notebooks in this repository, first clone it with submodules.

git clone git@github.com:PrettyLilLiars/face-benchmark.git

Then, install requirements in the requirements.txt file

pip install -r requirements.txt

Needs the following (tensorflow/tensorflow#63362 (comment))

Automating the variable set/unset process with Anaconda (one-time setup)

Activate your environement in which TF 2.16.1 is installed

  • Two files to be created in "anaconda3/envs/<ENV_NAME>/etc/conda"
  • anaconda3/envs/<ENV_NAME>/etc/conda/activate.d/env_vars.sh
#!/bin/sh
export NVIDIA_DIR=$(dirname $(dirname $(python -c "import nvidia.cudnn;print(nvidia.cudnn.__file__)")))
export LD_LIBRARY_PATH=$(echo ${NVIDIA_DIR}/*/lib/ | sed -r 's/\s+/:/g')${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

anaconda3/envs/<ENV_NAME>/etc/conda/deactivate.d/env_vars.sh

#!/bin/sh
unset NVIDIA_DIR
unset LD_LIBRARY_PATH

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Multi-Task Adversarial Transformation Network for Aesthetic Outputs

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