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cs3570-grandchallenge-pcc's Introduction

CS3570-GrandChallenge-PCC

Course Page

TA session slides

Environments

Ubuntu 20.04

Prerequisites

  • Ananconda 3
  • git
  • gcc
  • g++
wget https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
sh Anaconda3-2020.11-Linux-x86_64.sh
source .bashrc
sudo apt install git gcc g++ -y

Detailed instructions please refered to the slides.

Installation

git clone https://github.com/xtorker/CS3570-GrandChallenge-PCC.git
cd CS3570-GrandChallenge-PCC
conda env create -f cfgs/conda_env/pcc_arena.yml
conda activate pcc_arena
python setup.py

Download mpeg-pcc-dmetric-master.tar.gz from eLearn.

Download datasets and pretrained models from Google Drive

Put all the files you downloaded under CS3570-GrandChallenge-PCC/

./setup_env_ds.sh

Run Experiments

python run_experiments.py

Add Your Own PCC Algorithm

Check with the Template in the project folder.

Detailed instructions please refered to the slides.

cs3570-grandchallenge-pcc's People

Contributors

xtorker avatar

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