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pip install --upgrade --user "ibm-watson>=4.5.0"
apikey = "<your-apikey>"
version = "2018-03-19"
url = "<your-url>"
import json
from ibm_watson import VisualRecognitionV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
authenticator = IAMAuthenticator(apikey)
visual_recognition = VisualRecognitionV3(
version=version,
authenticator=authenticator
)
visual_recognition.set_service_url(url)
visual_recognition.set_default_headers({'x-watson-learning-opt-out': "true"})
data = [
{
"title": "Bear Country, South Dakota",
"url": "https://example.com/photos/highres/20140717.jpg"
},
{
"title": "Pactola Lake",
"url": "https://example.com/photos/highres/20140718.jpg"
},
{
"title": "Welcome to Utah",
"url": "https://example.com/photos/highres/20190608_02.jpg"
},
{
"title": "Honey Badger",
"url": "https://example.com/photos/highres/20190611_03.jpg"
},
{
"title": "Grand Canyon Lizard",
"url": "https://example.com/photos/highres/20190612.jpg"
},
{
"title": "The Workhouse",
"url": "https://example.com/photos/highres/20191116_01.jpg"
}
]
from ibm_watson import ApiException
for x in range(len(data)):
try:
url = data[x]["url"]
images_filename = data[x]["title"]
classes = visual_recognition.classify(
url=url,
images_filename=images_filename,
threshold='0.6',
owners=["IBM"]).get_result()
print("-------------------------------------------------------------------------------------------------------------------------------------")
print("Image Title: ", data[x]["title"], "\n")
print("Image URL: ", data[x]["url"], "\n")
classification_results = classes["images"][0]["classifiers"][0]["classes"]
for result in classification_results:
print(result["class"], "(", result["score"], ")")
print("-------------------------------------------------------------------------------------------------------------------------------------")
except ApiException as ex:
print("Method failed with status code " + str(ex.code) + ": " + ex.message)
|
