print("Train RGB only model from scratch")
!tao action_recognition train \
-e $SPECS_DIR/train_rgb_2d.yaml \
-r $RESULTS_DIR/rgb_2d \
-k $KEY \
dataset_config.train_dataset_dir=$DATA_DIR/train \
dataset_config.val_dataset_dir=$DATA_DIR/test
When I run this cell, the program is stopped by showing below log.
Train RGB only model from scratch
2022-03-11 15:02:21,279 [INFO] root: Registry: ['nvcr.io']
2022-03-11 15:02:21,365 [INFO] tlt.components.instance_handler.local_instance: Running command in container: nvcr.io/nvidia/tao/tao-toolkit-pyt:v3.21.11-py3
2022-03-11 15:02:21,579 [INFO] tlt.components.docker_handler.docker_handler: The required docker doesn't exist locally/the manifest has changed. Pulling a new docker.
2022-03-11 15:02:21,579 [INFO] tlt.components.docker_handler.docker_handler: Pulling the required container. This may take several minutes if you're doing this for the first time. Please wait here.
...
Pulling from repository: nvcr.io/nvidia/tao/tao-toolkit-pyt
2022-03-12 11:03:16,969 [INFO] tlt.components.docker_handler.docker_handler: Container pull complete.
2022-03-12 11:03:16,970 [WARNING] tlt.components.docker_handler.docker_handler:
Docker will run the commands as root. If you would like to retain your
local host permissions, please add the "user":"UID:GID" in the
DockerOptions portion of the "/home/ahamad/.tao_mounts.json" file. You can obtain your
users UID and GID by using the "id -u" and "id -g" commands on the
terminal.
I tried tao action_recognition --helpfrom the terminal, even there I got the same response. What should I do.