Open nwaughachukwuma opened 3 months ago
Hi @nwaughachukwuma, thanks for reaching out. I tried the sample provided in the link and it seems to work as expected.
Code:
# Imports the Google Cloud client library
from google.cloud import vision
def run_quickstart() -> vision.EntityAnnotation:
"""Provides a quick start example for Cloud Vision."""
# Instantiates a client
client = vision.ImageAnnotatorClient()
# The URI of the image file to annotate
file_uri = "gs://cloud-samples-data/vision/label/wakeupcat.jpg"
image = vision.Image()
image.source.image_uri = file_uri
# Performs label detection on the image file
response = client.label_detection(image=image)
print("response: ", response)
labels = response.label_annotations
print("Labels:")
for label in labels:
print(label.description)
return labels
run_quickstart()
Output:
response: label_annotations {
mid: "/m/01yrx"
description: "Cat"
score: 0.956459463
topicality: 0.956459463
}
label_annotations {
mid: "/m/0d4v4"
description: "Window"
score: 0.938840091
topicality: 0.938840091
}
label_annotations {
mid: "/m/0307l"
description: "Felidae"
score: 0.89566052
topicality: 0.89566052
}
label_annotations {
mid: "/m/01lrl"
description: "Carnivore"
score: 0.885138333
topicality: 0.885138333
}
label_annotations {
mid: "/m/01k9lj"
description: "Jaw"
score: 0.880326807
topicality: 0.880326807
}
label_annotations {
mid: "/m/07k6w8"
description: "Small to medium-sized cats"
score: 0.863107383
topicality: 0.863107383
}
label_annotations {
mid: "/m/0244x1"
description: "Gesture"
score: 0.852604866
topicality: 0.852604866
}
label_annotations {
mid: "/m/01l7qd"
description: "Whiskers"
score: 0.84995687
topicality: 0.84995687
}
label_annotations {
mid: "/m/031b6r"
description: "Window blind"
score: 0.834581673
topicality: 0.834581673
}
label_annotations {
mid: "/m/0276krm"
description: "Fawn"
score: 0.816135049
topicality: 0.816135049
}
Labels:
Cat
Window
Felidae
Carnivore
Jaw
Small to medium-sized cats
Gesture
Whiskers
Window blind
Fawn
Feel free to reach out if you have any questions related to the Python client. For any API specific questions, kindly submit feedback on this link.
It's not clear how to do label detection with google-cloud-vision. There's a complete mismatch between what's specified in this repository and what's on the docs page. If there's been a breaking change, the docs page should be clear in making it known.
Nothing in the following link works for me - https://cloud.google.com/vision/docs/libraries
Please specify how to perform label detection using cloud vision or what document I should be looking at. Thank you.