Labels in einem Bild mithilfe der Cloud Vision API erkennen

Vorbereitung

Falls Sie dies noch nicht getan haben, richten Sie wie unten beschrieben das Projekt ein und erstellen Sie einen Cloud Storage-Bucket.

Projekt einrichten

1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.

2. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

   Go to project selector

3. Make sure that billing is enabled for your Google Cloud project.

4. Enable the Cloud Vision API.

   Enable the API

5. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

   Go to project selector

6. Make sure that billing is enabled for your Google Cloud project.

7. Enable the Cloud Vision API.

   Enable the API

Cloud Storage-Bucket erstellen

1. In the Google Cloud console, go to the Cloud Storage Buckets page.

   Go to Buckets

2. Click add_box Create.
3. On the Create a bucket page, enter your bucket information. To go to the next step, click Continue.
   1. For Name your bucket, enter a unique bucket name. Don't include sensitive information in the bucket name, because the bucket namespace is global and publicly visible.
   2. In the Choose where to store your data section, do the following:
      1. Select a Location type.
      2. Choose a location where your bucket's data is permanently stored from the Location type drop-down menu.
         • If you select the dual-region location type, you can also choose to enable turbo replication by using the relevant checkbox.
      3. To set up cross-bucket replication, select Add cross-bucket replication via Storage Transfer Service and follow these steps:

         Set up cross-bucket replication

         1. In the Bucket menu, select a bucket.

         2. In the Replication settings section, click Configure to configure settings for the replication job.

            The Configure cross-bucket replication pane appears.

            • To filter objects to replicate by object name prefix, enter a prefix that you want to include or exclude objects from, then click add Add a prefix.
            • To set a storage class for the replicated objects, select a storage class from the Storage class menu. If you skip this step, the replicated objects will use the destination bucket's storage class by default.
            • Click Done.
   3. In the Choose how to store your data section, do the following:
      1. In the Set a default class section, select the following: Standard.
      2. To enable hierarchical namespace, in the Optimize storage for data-intensive workloads section, select Enable hierarchical namespace on this bucket.
   4. In the Choose how to control access to objects section, select whether or not your bucket enforces public access prevention, and select an access control method for your bucket's objects.
   5. In the Choose how to protect object data section, do the following:
      • Select any of the options under Data protection that you want to set for your bucket.
        • To enable soft delete, click the Soft delete policy (For data recovery) checkbox, and specify the number of days you want to retain objects after deletion.
        • To set Object Versioning, click the Object versioning (For version control) checkbox, and specify the maximum number of versions per object and the number of days after which the noncurrent versions expire.
        • To enable the retention policy on objects and buckets, click the Retention (For compliance) checkbox, and then do the following:
          • To enable Object Retention Lock, click the Enable object retention checkbox.
          • To enable Bucket Lock, click the Set bucket retention policy checkbox, and choose a unit of time and a length of time for your retention period.
      • To choose how your object data will be encrypted, expand the Data encryption section (expand_more), and select a Data encryption method.
4. Click Create.

Anfrage an Cloud Vision stellen

1. Speichern Sie eine lokale Version der Beispielbilddatei (demo-img.jpg).

2. Wechseln Sie in der Google Cloud -Console unter „Cloud Storage“ zur Seite Buckets.

   Buckets aufrufen

3. Wählen Sie den Bucket aus, den Sie im vorherigen Abschnitt erstellt haben.

4. Klicken Sie auf Upload Files (Dateien hochladen) und wählen Sie die lokale Version der Datei demo-img.jpg aus, um Sie in Ihren Cloud Storage-Bucket hochzuladen.

   

   Das ist die Bilddatei, die Sie gerade hochgeladen haben:

   

5. Wenn die hochgeladene Datei im Cloud Storage-Bucket zu sehen ist, teilen Sie das Bild öffentlich.

6. Füllen Sie im Abschnitt Diese Methode testen die interaktive API Explorer-Vorlage aus. Ersetzen Sie dazu cloud-samples-data/vision im Feld image.source.imageUri durch den Namen des Cloud Storage-Buckets, in den Sie die Datei demo-img.jpg hochgeladen haben. Der Anfragetext sollte in etwa so aussehen:

   {
     "requests": [
       {
         "features": [
           {
             "type": "LABEL_DETECTION"
           }
         ],
         "image": {
           "source": {
             "imageUri": "gs://cloud-samples-data/vision/demo-img.jpg"
           }
         }
       }
     ]
   }

7. Klicken Sie auf Ausführen, um die Anfrage an den Dienst zu senden. Die JSON-Antwort wird nach dem Anfragetext angezeigt.

Glückwunsch! Sie haben Ihre erste images.annotate-Anfrage an Cloud Vision gesendet.