Run mask rcnn with tao error : chmod: cannot access '/opt/ngccli/ngc': No such file or directory

Accelerated Computing CUDA CUDA Setup and Installation
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1

i ran this command : docker run nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.5-py3 mask_rcnn run /bin/bash
but i got this error :
–2023-05-23 12:20:21-- https://ngc.nvidia.com/downloads/ngccli_reg_linux.zip
Resolving ngc.nvidia.com (ngc.nvidia.com)… ::ffff:18.161.97.111, ::ffff:18.161.97.27, ::ffff:18.161.97.52, …
Connecting to ngc.nvidia.com (ngc.nvidia.com)|::ffff:18.161.97.111|:443… connected.
HTTP request sent, awaiting response… 200 OK
Length: 43235396 (41M) [application/zip]
Saving to: ‘/opt/ngccli/ngccli_reg_linux.zip’

 0K .......... .......... .......... .......... ..........  0% 1.69M 24s
50K .......... .......... .......... .......... ..........  0% 2.33M 21s

100K … … … … … 0% 5.13M 17s
150K … … … … … 0% 3.61M 15s
200K … … … … … 0% 4.62M 14s
250K … … … … … 0% 2.94M 14s
300K … … … … … 0% 957K 18s
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550K … … … … … 1% 41.3M 19s
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650K … … … … … 1% 8.46M 17s
700K … … … … … 1% 4.79M 16s
750K … … … … … 1% 219M 15s
…
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inflating: /opt/ngccli/ngc-cli/opentelemetry/instrumentation/environment_variables.py
creating: /opt/ngccli/ngc-cli/opentelemetry/attributes/
inflating: /opt/ngccli/ngc-cli/opentelemetry/attributes/init.py
creating: /opt/ngccli/ngc-cli/opentelemetry/attributes/pycache/
inflating: /opt/ngccli/ngc-cli/opentelemetry/attributes/pycache/init.cpython-39.pyc
creating: /opt/ngccli/ngc-cli/opentelemetry/propagate/
inflating: /opt/ngccli/ngc-cli/opentelemetry/propagate/init.py
creating: /opt/ngccli/ngc-cli/opentelemetry/propagate/pycache/
inflating: /opt/ngccli/ngc-cli/opentelemetry/propagate/pycache/init.cpython-39.pyc
inflating: /opt/ngccli/ngc-cli/libpython3.9.so.1.0
creating: /opt/ngccli/ngc-cli/six-1.16.0.dist-info/
inflating: /opt/ngccli/ngc-cli/six-1.16.0.dist-info/LICENSE
extracting: /opt/ngccli/ngc-cli/six-1.16.0.dist-info/top_level.txt
inflating: /opt/ngccli/ngc-cli/six-1.16.0.dist-info/METADATA
inflating: /opt/ngccli/ngc-cli/six-1.16.0.dist-info/RECORD
inflating: /opt/ngccli/ngc-cli/six-1.16.0.dist-info/WHEEL
extracting: /opt/ngccli/ngc-cli/six-1.16.0.dist-info/INSTALLER
creating: /opt/ngccli/ngc-cli/importlib_metadata-6.0.1.dist-info/
inflating: /opt/ngccli/ngc-cli/importlib_metadata-6.0.1.dist-info/direct_url.json
inflating: /opt/ngccli/ngc-cli/importlib_metadata-6.0.1.dist-info/LICENSE
extracting: /opt/ngccli/ngc-cli/importlib_metadata-6.0.1.dist-info/top_level.txt
inflating: /opt/ngccli/ngc-cli/importlib_metadata-6.0.1.dist-info/METADATA
inflating: /opt/ngccli/ngc-cli/importlib_metadata-6.0.1.dist-info/RECORD
extracting: /opt/ngccli/ngc-cli/importlib_metadata-6.0.1.dist-info/WHEEL
extracting: /opt/ngccli/ngc-cli/importlib_metadata-6.0.1.dist-info/INSTALLER
extracting: /opt/ngccli/ngc-cli/importlib_metadata-6.0.1.dist-info/REQUESTED
creating: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/
inflating: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/direct_url.json
inflating: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/METADATA
inflating: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/RECORD
inflating: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/entry_points.txt
inflating: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/WHEEL
extracting: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/INSTALLER
creating: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/licenses/
inflating: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/licenses/LICENSE
extracting: /opt/ngccli/ngc-cli/opentelemetry_api-1.17.0.dist-info/REQUESTED
creating: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/
inflating: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/direct_url.json
inflating: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/METADATA
inflating: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/RECORD
inflating: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/entry_points.txt
inflating: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/WHEEL
extracting: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/INSTALLER
creating: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/licenses/
inflating: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/licenses/LICENSE
extracting: /opt/ngccli/ngc-cli/opentelemetry_instrumentation-0.38b0.dist-info/REQUESTED
extracting: /opt/ngccli/ngc-cli.md5
chmod: cannot access ‘/opt/ngccli/ngc’: No such file or directory

how can i solve it or use nvidia tao for train mask rcnn correctly

2

also i used this command : tao mask_rcnn dataset_convert -i /home/mj/TAO/getting_started_v4.0.1/notebooks/tao_launcher_starter_kit/mask_rcnn/data/raw-data/val2017
-a /home/mj/TAO/getting_started_v4.0.1/notebooks/tao_launcher_starter_kit/mask_rcnn/data/raw-data/annotations/instances_val2017.json
-o /home/mj/TAO/getting_started_v4.0.1/notebooks/tao_launcher_starter_kit/mask_rcnn/data --include_masks -t val -s 32

and i got this error :
/home/mj/anaconda3/envs/tao/lib/python3.6/site-packages/tlt/init.py:20: DeprecationWarning:
The nvidia-tlt package will be deprecated soon. Going forward please migrate to using the nvidia-tao package.

warnings.warn(message, DeprecationWarning)
2023-05-23 13:54:16,238 [INFO] root: Registry: [‘nvcr.io’]
2023-05-23 13:54:16,290 [INFO] tlt.components.instance_handler.local_instance: Running command in container: nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.5-py3
Error response from daemon: No such container: f29ca792dbd0e31e5c4cd9195514307d22361c7ce9925f9ab36c22adedba4508
2023-05-23 13:54:19,307 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.