Extracting Text from the Images using the Google Cloud Vision API avaliações

Fagner T. · Revisado há about 1 year

the service account does not exist, please check with the lab's existing service accounts

Kamurasi J. · Revisado há about 1 year

Gavriel D. · Revisado há about 1 year

A good lab, however the instructions with the appspot service account IAM were unclear

Kinga K. · Revisado há about 1 year

Rajeev R. · Revisado há about 1 year

Devalin D. · Revisado há about 1 year

The lesson assumes the app engine has already been created when you try to add the iam policy binding. But I had to create it then grant the Artifact Registry Reader Role to the Service Account. I would strongly recommend telling people to open a txt file or notepad so that they can keep track of all the commands that they'll have to edit. I also recommend removing the capitalized letters where buckets, and pubsub topics are called for. People will instinctively copy and paste what's there and the console will throw an error for formatting.

Gabriel H. · Revisado há about 1 year

JUNE D. · Revisado há about 1 year

Jeremiah A. · Revisado há about 1 year

very difficult lab work The code does not work I was unable to complete it unfortunately

Ievhen S. · Revisado há about 1 year

Commands for Task 4 do not work

JUNE D. · Revisado há about 1 year

Task 4. Deploy the functions - Do Not Work student_04_aaca86bb7146@cloudshell:~ (qwiklabs-gcp-01-dcdf604e7b83)$ gcloud projects add-iam-policy-binding qwiklabs-gcp-01-dcdf604e7b83 \ --member="serviceAccount:qwiklabs-gcp-01-dcdf604e7b83@appspot.gserviceaccount.com" \ --role="roles/artifactregistry.reader" ERROR: Policy modification failed. For a binding with condition, run "gcloud alpha iam policies lint-condition" to identify issues in condition. ERROR: (gcloud.projects.add-iam-policy-binding) INVALID_ARGUMENT: Service account qwiklabs-gcp-01-dcdf604e7b83@appspot.gserviceaccount.com does not exist. (qwiklabs-gcp-01-dcdf604e7b83)$ gcloud functions deploy ocr-extract --runtime python39 --trigger-bucket image_bucket_qwiklabs-gcp-01-dcdf604e7b83 --entry-point process_image --set-env-vars "^:^GCP_PROJECT= qwiklabs-gcp-01-dcdf604e7b83:TRANSLATE_TOPIC=translate_topic_qwiklabs-gcp-01-dcdf604e7b83:RESULT_TOPIC=result_topic_qwiklabs-gcp-01-dcdf604e7b83:TO_LANG=es,en,fr,ja" In a future Cloud SDK release, new functions will be deployed as 2nd gen functions by default. This is equivalent to currently deploying new with the --gen2 flag. Existing 1st gen functions will not be impacted and will continue to deploy as 1st gen functions. You can preview this behavior in beta. Alternatively, you can disable this behavior by explicitly specifying the --no-gen2 flag or by setting the functions/gen2 config property to 'off'. To learn more about the differences between 1st gen and 2nd gen functions, visit: https://cloud.google.com/functions/docs/concepts/version-comparison ERROR: (gcloud.functions.deploy) Failed to upload the function source code to signed url: https://storage.googleapis.com/uploads-353051714080.us-central1.cloudfunctions.appspot.com/66b315c1-b658-4666-af0f-f82638919648.zip?GoogleAccessId=service-892274846650@gcf-admin-robot.iam.gserviceaccount.com&Expires=1725807866&Signature=nJo0ANi33GcZvJZeB%2F9wP3tF8JzuzOW%2BES9VkjJSlJxrmoNFA6hr4CxN6xgDkltUffMfjThQNEXGOvErqdyBw92h174%2FrmD%2FSJC8FXN74n8fPiVtu6P0i2r9MZaSCzqAg780cLUaRfCZHGY7AHTdNx9xA6lUVRi7wS3QWKo%2BQi6fAsCOB3Yc6Z%2FROZ2Wu8IvnaKzQTI4rG6pbm8T%2FF4U%2B0qSWF%2BzSPu%2FSMsA8xjkGnMNzAw1zUxy9IKu2PxoV%2Faxkbq7dVHaCX0UhLSAfMUePTf1w8mNXh%2BPx4NYumd%2By7SSpszJu59ul0lqRMmums7oMdBB6Xs0%2F27CUm60TdT5ag%3D%3D. Status: [400:b"<?xml version='1.0' encoding='UTF-8'?><Error><Code>EntityTooLarge</Code><Message>Your proposed upload is larger than the maximum object size specified in your Policy Document.</Message><Details>Content-length exceeds upper bound on range</Details></Error>"]

JUNE D. · Revisado há about 1 year

difficult lab work the code didn't work for some reason couldn't pass the first time

Ievhen S. · Revisado há about 1 year

Manju Vallabha P. · Revisado há about 1 year

The steps can be evolved to set environment variables in the shell such that the user doesn't need to edit commands inline. It would make the lab go much faster. Also the default app engine service account did not exist so the first cloud function deployment throws an error.

Prateek S. · Revisado há about 1 year

The end does not work. Please check this problem.

Daniel C. · Revisado há about 1 year

Ievhen S. · Revisado há about 1 year

Uzor N. · Revisado há about 1 year

Daniel C. · Revisado há about 1 year

ERROR: Policy modification failed. For a binding with condition, run "gcloud alpha iam policies lint-condition" to identify issues in condition. ERROR: (gcloud.projects.add-iam-policy-binding) INVALID_ARGUMENT: Service account qwiklabs-gcp-04-ff7bb8ba9a34@appspot.gserviceaccount.com does not exist.

Mohit T. · Revisado há about 1 year

could not add aim access due to no cloud function activate. Required to Enable the App Engine Default Service Account If you do not see the appspot service account in the list, it means the App Engine service account has not been created. To create it, you need to enable the App Engine service in your project: gcloud app create --project=qwiklabs-gcp-00-fc4a556c3851

Daniel S. · Revisado há about 1 year

Really terrible!

Victor O. · Revisado há about 1 year

VAIJAYANTHI B. · Revisado há about 1 year

Uzor N. · Revisado há about 1 year

Ahsan G. · Revisado há about 1 year