Why:
In visualization tool, we should check whether the agent arrive the
target viewpoint. We need to calculate the distance between the GT
viewpoint & the predicted viewpoint but it's difficult to calculate the
distance without the simulator (we run the visualization tool on Jupyter
notebook which is not in the docker container so we cannot use the
simulator)
How:
After getting the result which gather from the env. We should run the
eval_metrics() to get the success rate, FOUND score..., etc. So we get
the "success" after eval_metrics() and log it in the predicted file so
that the visualization tool can get the "success" status in the
predicted file.
