yolov5 sagemaker deploy

[omaiyiwa]

1.Hello, in amazon-sagemaker-local-mode/pytorch_yolov5_local_model_inference/, the local deploy will have this error,
ImportError: 'docker-compose' is not installed. Local Mode features will not work without docker-compose. For more information on how to install 'docker-compose', please, see https://docs.docker.com/compose/install/,
2.I took the recommended solution, but it didn't work (maybe I made a mistake),
3.I use curl -SL https: //github.com/docker/compose/releases/download/v2.17.2/docker-compose-linux-x86_64 -o /usr/local/bin/docker-compose,
4.the error is
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
Warning: Failed to open the file /usr/local/bin/docker-compose: Permission
Warning: denied
0 51.9M 0 1406 0 0 1780 0 8:29:52 --:--:-- 8:29:52 1780
curl: (23) Failure writing output to destination

[eitansela]

It looks like you have a Permission denied issue with docker-compose. Please try to run it on a simple example: https://docs.docker.com/compose/gettingstarted/

[omaiyiwa]

Thanks, I keep getting this error in this paragraph
predictions = predictor.predict("https://ultralytics.com/images/zidane.jpg")

1.the error is
botocore.errorfactory.ModelError: An error occurred (ModelError) when calling the InvokeEndpoint operation: Received server error (0) from primary with message "Your invocation timed out while waiting for a response from container primary. Review the latency metrics for each container in Amazon CloudWatch, resolve the issue, and try again."

[omaiyiwa]

my deploy is
predictor = model.deploy(initial_instance_count=1, instance_type='ml.m5.xlarge', endpoint_name=endpoint_name)

[omaiyiwa]

1. Sorry for my problem, I specified not a local but an instance,
2. I installed docker-compose and added executable permissions,
3. docker-compose version
4. Docker Compose version v2.17.2,
5. but the following error occurs during deployment：

File "/home/sagemaker-user/pytorch_yolov5_local_model_inference.py", line 63, in
main()
File "/home/sagemaker-user/pytorch_yolov5_local_model_inference.py", line 48, in main
predictor = model.deploy(initial_instance_count=1, instance_type='local', endpoint_name=endpoint_name)
File "/opt/conda/envs/studio/lib/python3.9/site-packages/sagemaker/model.py", line 1298, in deploy
self.sagemaker_session.endpoint_from_production_variants(
File "/opt/conda/envs/studio/lib/python3.9/site-packages/sagemaker/session.py", line 4539, in endpoint_from_production_variants
return self.create_endpoint(endpoint_name=name, config_name=name, tags=tags, wait=wait)
File "/opt/conda/envs/studio/lib/python3.9/site-packages/sagemaker/session.py", line 3899, in create_endpoint
self.sagemaker_client.create_endpoint(
File "/opt/conda/envs/studio/lib/python3.9/site-packages/sagemaker/local/local_session.py", line 359, in create_endpoint
endpoint.serve()
File "/opt/conda/envs/studio/lib/python3.9/site-packages/sagemaker/local/entities.py", line 603, in serve
self.container.serve(
File "/opt/conda/envs/studio/lib/python3.9/site-packages/sagemaker/local/image.py", line 296, in serve
if _ecr_login_if_needed(self. sagemaker_session. boto_session, self. image):
File "/opt/conda/envs/studio/lib/python3.9/site-packages/sagemaker/local/image.py", line 1086, in _ecr_login_if_needed
if _check_output("docker images -q %s" % image).strip():
File "/opt/conda/envs/studio/lib/python3.9/site-packages/sagemaker/local/image.py", line 934, in _check_output
output = subprocess. check_output(cmd, *popenargs, **kwargs)
File "/opt/conda/envs/studio/lib/python3.9/subprocess.py", line 424, in check_output
return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
File "/opt/conda/envs/studio/lib/python3.9/subprocess.py", line 505, in run
with Popen(*popenargs, **kwargs) as process:
File "/opt/conda/envs/studio/lib/python3.9/subprocess.py", line 951, in init
self._execute_child(args, executable, preexec_fn, close_fds,
File "/opt/conda/envs/studio/lib/python3.9/subprocess.py", line 1821, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
NotADirectoryError: [Errno 20] Not a directory: 'docker'

[eitansela]

This is an issue with Docker installation. Try to run a simple docker-compose command with a sample Docker image before running yolov5 code sample.