I am getting confused by the project paths.
Could you explain this a little better
Please define this local project directory that needs to be mapped to the TLT docker session.
The dataset expected to be present in $LOCAL_PROJECT_DIR/gazenet/data, while the results for the steps
in this notebook will be stored at $LOCAL_PROJECT_DIR/gazenet
!PLEASE MAKE SURE TO UPDATE THIS PATH!.
%env LOCAL_PROJECT_DIR=/path/to/local/experiments
%env PROJECT_DIR=/path/to/local/samples_dir
The following notebook requires the user to set an env variable called the $LOCAL_PROJECT_DIR as the path to the users workspace. Please note that the dataset to run this notebook is expected to reside in the $LOCAL_PROJECT_DIR/gazenet/data, while the TLT experiment generated collaterals will be output to $LOCAL_PROJECT_DIR/gazenet. More information on how to set up the dataset and the supported steps in the TLT workflow are provided in the subsequent cells.
After your explanation I believe that all my problems have to do with the improper mapping of the PROJECT_DIR.
It might help others if you include your explanation in the jupyter notebook examples.
Tthanks
$PROJECT_DIR is the path to the sample notebook folder and the dependency folder $PROJECT_DIR/deps should exist for dependency installation.
$LOCAL_PROJECT_DIR is the path to the “tlt-experiment” in the user’s local project workspace.