Please provide the following information when requesting support.
• Hardware (T4/V100/Xavier/Nano/etc)
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc)
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here)
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)
I’m trying to use the jupyter notebook to train and test detectnetv2.
When I execute the cell with the code to convert the dataset format:
Creating a new directory for the output tfrecords dump.
print(“Converting Tfrecords for kitti trainval dataset”)
!mkdir -p $LOCAL_DATA_DIR/tfrecords && rm -rf $LOCAL_DATA_DIR/tfrecords/*
!tao model detectnet_v2 dataset_convert -d $SPECS_DIR/detectnet_v2_tfrecords_kitti_trainval.txt -o $DATA_DOWNLOAD_DIR/tfrecords/kitti_trainval/kitti_trainval
I get this error:
Converting Tfrecords for kitti trainval dataset
2024-02-29 10:38:35,771 [TAO Toolkit] [INFO] root 160: Registry: [‘nvcr.io’]
2024-02-29 10:38:35,814 [TAO Toolkit] [INFO] nvidia_tao_cli.components.instance_handler.local_instance 360: Running command in container: nvcr.io/nvidia/tao/tao-toolkit:5.0.0-tf1.15.5
2024-02-29 10:38:35,818 [TAO Toolkit] [INFO] nvidia_tao_cli.components.docker_handler.docker_handler 322: The required docker doesn’t exist locally/the manifest has changed. Pulling a new docker.
2024-02-29 10:38:35,818 [TAO Toolkit] [INFO] nvidia_tao_cli.components.docker_handler.docker_handler 173: 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
5l
Docker pull failed. 500 Server Error: Internal Server Error (“Head “https://nvcr.io/v2/nvidia/tao/tao-toolkit/manifests/5.0.0-tf1.15.5”: unauthorized: authentication required”)
I don’t know how to fix this
2 posts - 2 participants