load a trained model and evaluate it visually

[luokuang2001]

Hello！
I have trained the Dreamer on my self-defined env and saved the log,
How can I load a trained model “latest.pt" in my logdir,
and evaluate the model policy visually on my self-defined env ?

[NM512]

Hello!

If you specify the same log directory, you can restart both the training and evaluation processes seamlessly.
Additionally, to visually evaluate the model policy, you can check the images saved in TensorBoard by turning on video_pred_log in the config file.