def search_insights_token_with_crop_area(subscription_key):
"""VisualSearchInsightsTokenWithCropArea.
This will send an image insights token in the knowledgeRequest parameter, along with a cropArea object, and print out the imageInsightsToken, the number of tags, the number of actions, and the first actionType.
"""
client = VisualSearchClient(endpoint="https://api.cognitive.microsoft.com",
credentials=CognitiveServicesCredentials(subscription_key))
image_insights_token = "bcid_113F29C079F18F385732D8046EC80145*ccid_oV/QcH95*mid_687689FAFA449B35BC11A1AE6CEAB6F9A9B53708*thid_R.113F29C079F18F385732D8046EC80145"
crop_area = CropArea(top=0.1, bottom=0.5, left=0.1, right=0.9)
knowledge_request = VisualSearchRequest(
image_info=ImageInfo(
image_insights_token=image_insights_token,
crop_area=crop_area
),
)
# You need to pass the serialized form of the model
knowledge_request = json.dumps(knowledge_request.serialize())
print("Search visual search request with url of dog image")
result = client.images.visual_search(knowledge_request=knowledge_request)
if not result:
print("No visual search result data.")
return
# Visual Search results
if result.image.image_insights_token:
print("Uploaded image insights token: {}".format(
result.image.image_insights_token))
else:
print("Couldn't find image insights token!")
# List of tags
if result.tags:
first_tag = result.tags[0]
print("Visual search tag count: {}".format(len(result.tags)))
# List of actions in first tag
if first_tag.actions:
first_tag_action = first_tag.actions[0]
print("First tag action count: {}".format(len(first_tag.actions)))
print("First tag action type: {}".format(
first_tag_action.action_type))
else:
print("Couldn't find tag actions!")
else:
print("Couldn't find image tags!")
def search_image_binary_with_crop_area(subscription_key):
"""VisualSearchImageBinaryWithCropArea.
This will send an image binary in the body of the post request, along with a cropArea object, and print out the imageInsightsToken, the number of tags, the number of actions, and the first actionType.
"""
client = VisualSearchClient(
endpoint="https://api.cognitive.microsoft.com",
credentials=CognitiveServicesCredentials(subscription_key))
image_path = os.path.join(TEST_IMAGES, "image.jpg")
with open(image_path, "rb") as image_fd:
crop_area = CropArea(top=0.1, bottom=0.5, left=0.1, right=0.9)
knowledge_request = VisualSearchRequest(image_info=ImageInfo(
crop_area=crop_area))
# You need to pass the serialized form of the model
knowledge_request = json.dumps(knowledge_request.serialize())
print("Search visual search request with binary of dog image")
result = client.images.visual_search(
image=image_fd, knowledge_request=knowledge_request)
if not result:
print("No visual search result data.")
return
# Visual Search results
if result.image.image_insights_token:
print("Uploaded image insights token: {}".format(
result.image.image_insights_token))
else:
print("Couldn't find image insights token!")
# List of tags
if result.tags:
first_tag = result.tags[0]
print("Visual search tag count: {}".format(len(result.tags)))
# List of actions in first tag
if first_tag.actions:
first_tag_action = first_tag.actions[0]
print("First tag action count: {}".format(
len(first_tag.actions)))
print("First tag action type: {}".format(
first_tag_action.action_type))
else:
print("Couldn't find tag actions!")
else:
print("Couldn't find image tags!")
def search_url_with_filters(subscription_key):
"""VisualSearchUrlWithFilters.
This will send an image url in the knowledgeRequest parameter, along with a \"site:www.bing.com\" filter, and print out the imageInsightsToken, the number of tags, the number of actions, and the first actionType.
"""
client = VisualSearchClient(endpoint="https://api.cognitive.microsoft.com",
credentials=CognitiveServicesCredentials(subscription_key))
image_url = "https://images.unsplash.com/photo-1512546148165-e50d714a565a?w=600&q=80"
filters = Filters(site="www.bing.com")
knowledge_request = VisualSearchRequest(
image_info=ImageInfo(url=image_url),
knowledge_request=KnowledgeRequest(filters=filters)
)
# You need to pass the serialized form of the model
knowledge_request = json.dumps(knowledge_request.serialize())
print("Search visual search request with url of dog image")
result = client.images.visual_search(knowledge_request=knowledge_request)
if not result:
print("No visual search result data.")
return
# Visual Search results
if result.image.image_insights_token:
print("Uploaded image insights token: {}".format(
result.image.image_insights_token))
else:
print("Couldn't find image insights token!")
# List of tags
if result.tags:
first_tag = result.tags[0]
print("Visual search tag count: {}".format(len(result.tags)))
# List of actions in first tag
if first_tag.actions:
first_tag_action = first_tag.actions[0]
print("First tag action count: {}".format(len(first_tag.actions)))
print("First tag action type: {}".format(
first_tag_action.action_type))
else:
print("Couldn't find tag actions!")
else:
print("Couldn't find image tags!")