i have already seen there are some similar questions but none of them actually provide a full answer. Since I cannot comment in that thread, i am opening a new one.
How do I address Brandon's comment below?
"... In order to use the Cloud Vision API with a non-public GCS object, you'll need to send OAuth authentication information along with your request for a user or service account which has permission to read the GCS object."?
I have the json file the system gave me as described here when I created the service account. I am trying to run the api from a python script.
It is not clear how to use it.
I'd recommend to use the Vision API Client Library for python to perform the call. You can install it on your machine (ideally in a virtualenv) by running the following command:
pip install --upgrade google-cloud-vision
Next, You'll need to set the environment variable GOOGLE_APPLICATION_CREDENTIALS to the file path of the JSON file that contains your service account key. For example, on a Linux machine you'd do it like this:
export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/service-account-file.json"
Finally, you'll just have to call the Vision API client's method you desire (for example here the label_detection method) like so:
def detect_labels():
"""Detects labels in the file located in Google Cloud Storage."""
client = vision.ImageAnnotatorClient()
image = types.Image()
image.source.image_uri = "gs://bucket_name/path_to_image_object"
response = client.label_detection(image=image)
labels = response.label_annotations
print('Labels:')
for label in labels:
print(label.description)
By initialyzing the client with no parameter, the library will automatically look for the GOOGLE_APPLICATION_CREDENTIALS environment variable you've previously set and run on behalf of this service account. If you granted it permissions to access the file, it'll run successfully.