Prepara i dati per le API ML su Google Cloud: Challenge Lab recensioni

233096 recensioni

K N. · Recensione inserita oltre 2 anni fa

Willian T. · Recensione inserita oltre 2 anni fa

Fernando A. · Recensione inserita oltre 2 anni fa

very difficult

Moisés Arturo R. · Recensione inserita oltre 2 anni fa

Fidel S. · Recensione inserita oltre 2 anni fa

Yevhenii O. · Recensione inserita oltre 2 anni fa

bad

Moisés Arturo R. · Recensione inserita oltre 2 anni fa

dsd

Alexsander T. · Recensione inserita oltre 2 anni fa

Victor Luís D. · Recensione inserita oltre 2 anni fa

Sahil S. · Recensione inserita oltre 2 anni fa

Krish M. · Recensione inserita oltre 2 anni fa

Narasimha C. · Recensione inserita oltre 2 anni fa

Lab broken for steps 3 & 4. Cannot upload result files to cloud storage bucket.

Jaco M. · Recensione inserita oltre 2 anni fa

Griselda A. · Recensione inserita oltre 2 anni fa

Elisdênia S. · Recensione inserita oltre 2 anni fa

Lukasz Z. · Recensione inserita oltre 2 anni fa

Polanki V. · Recensione inserita oltre 2 anni fa

ESTEBAN A. · Recensione inserita oltre 2 anni fa

AZENURAIN C. · Recensione inserita oltre 2 anni fa

This workaround that support gave me is better than the lab. The whole lab should be taught to do it in Google Cloud Console... Task 3: Use the Google Cloud Speech API Note: Only after performing both Task 3 and Task 4 will the Activity Tracker for both the tasks go green. In GCP console -> API & Services -> Credentials -> Create credentials -> API Key. Copy the generated API key in a clipboard to be used later. Run the below commands in Cloudshell. export API_KEY=<copy the generated API key here> export TASK_3_BUCKET_NAME=<Copy bucket name from Task 3 lab instructions> (Ex: gs://qwiklabs-gcp-02-e688b7715274-marking/task3-gcs-637.result in my case) export TASK_4_BUCKET_NAME=<Copy bucket name from Task 4 lab instructions> gcloud iam service-accounts create quicklab \ --display-name "my natural language service account" gcloud iam service-accounts keys create ~/key.json \ --iam-account quicklab@${GOOGLE_CLOUD_PROJECT}.iam.gserviceaccount.com export GOOGLE_APPLICATION_CREDENTIALS="/home/$USER/key.json" gcloud auth activate-service-account quicklab@${GOOGLE_CLOUD_PROJECT}.iam.gserviceaccount.com --key-file=$GOOGLE_APPLICATION_CREDENTIALS gcloud ml language analyze-entities --content="Old Norse texts portray Odin as one-eyed and long-bearded, frequently wielding a spear named Gungnir and wearing a cloak and a broad hat." > result.json gcloud auth login --no-launch-browser Type “y” when prompted. In the output, a link gets generated in Cloudshell and along with a prompt asking for the authorization code. Click on the link and open it in a new browser. In the browser, log into the student account -> click Allow. Copy the generated verification code and paste it in the “authorization code” in Cloudshell. Press [Enter]. Task 4: Use the Cloud Natural Language API In Cloudshell, issue the following commands: gsutil cp result.json $TASK_4_BUCKET_NAME cat > request.json <<EOF { "config": { "encoding":"FLAC", "languageCode": "en-US" }, "audio": { "uri":"gs://cloud-training/gsp323/task3.flac" } } EOF curl -s -X POST -H "Content-Type: application/json" --data-binary @request.json \ "https://speech.googleapis.com/v1/speech:recognize?key=${API_KEY}" > result.json gsutil cp result.json $TASK_3_BUCKET_NAME gcloud iam service-accounts create quickstart gcloud iam service-accounts keys create key.json --iam-account quickstart@${GOOGLE_CLOUD_PROJECT}.iam.gserviceaccount.com gcloud auth activate-service-account --key-file key.json export ACCESS_TOKEN=$(gcloud auth print-access-token) cat > request.json <<EOF { "inputUri":"gs://spls/gsp154/video/train.mp4", "features": [ "TEXT_DETECTION" ] } EOF curl -s -H 'Content-Type: application/json' \ -H "Authorization: Bearer $ACCESS_TOKEN" \ 'https://videointelligence.googleapis.com/v1/videos:annotate' \ -d @request.json curl -s -H 'Content-Type: application/json' -H "Authorization: Bearer $ACCESS_TOKEN" 'https://videointelligence.googleapis.com/v1/operations/OPERATION_FROM_PREVIOUS_REQUEST' > result1.json

Jacob J. · Recensione inserita oltre 2 anni fa

Daniel Alejandro D. · Recensione inserita oltre 2 anni fa

Beatrice K. · Recensione inserita oltre 2 anni fa

Mykhailo T. · Recensione inserita oltre 2 anni fa

2116 y. · Recensione inserita oltre 2 anni fa

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