ERROR conda.core.link:_execute(507): An error occurred while installing package 'conda-forge::async_generator-1.10-py_0' about icpr2020dfdc HOT 4 CLOSED

Hey @Rafiur ,

thanks for passing by!
Seems like you're trying to install as a package "conda-forge", which instead is a channel for downloading packages.
To replicate our environment just clone our repo, and then from the bash execute the following lines:

$ conda env create -f environment.yml
$ conda activate icpr2020

On what kind of dataset do you want to train on?
Please be aware that this is a repository for replicating the results of a scientific paper, so the pipeline is tailored to the two datasets we have used (i.e., Deep Fake Detection Challenge and FaceForensics++).
Bests,

Edoardo

from icpr2020dfdc.

The error still occurs when I run "conda env create -f environment.yml" on ananconda prompt

yes I have seen that the repository is tailored for two datasets but I was hoping to know the preprocessing procedure of the dataset and how to do that

from icpr2020dfdc.

Hey @Rafiur,
I just managed to recreate the environment from scratch under Ubuntu 20.10, so I think the error is related to Windows specific packages managed by Anaconda. I don't have a solution for you, try updating/reinstalling Anaconda hoping for an improvement. In general, I saw many people here using Windows without this problem, so my guess is that there is something broken in your Anaconda configuration. Maybe @CrohnEngineer has some Windows specific hints to share.

Regarding the training with your dataset: we don't cover this in our scripts. If you are really motivated in doing so, the steps to follow are:

1. indexing videos by modifying one of the index scripts index_dfdc.py or index_ffpp.py
2. extracting faces by modifing extract_faces.py

then it should be straightforward using one of the training scripts and test them accordingly.

from icpr2020dfdc.

Yes, it seems it was an issue on my end as I have done the same on another windows device and no error occurred.
I will try to do so following the given steps. Thank you for the valuable feedbacks.

from icpr2020dfdc.