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!")
def search_url_with_filter( image_path, site = "www.bing.com" ):
filters = Filters( site = site )
knowledge_request = VisualSearchRequest(
knowledge_request = KnowledgeRequest( filters = filters )
)
return search( image_path, knowledge_request )
def search_url_with_filter( image_path, subscription_key, image_url, site = "www.bing.com" ):
filters = Filters( site = site )
knowledge_request = VisualSearchRequest(
image_info = ImageInfo( url = image_url ),
knowledge_request = KnowledgeRequest( filters = filters )
)
return search( image_path, subscription_key, knowledge_request )
def search_image_binary(subscription_key):
"""VisualSearchImageBinary.
This will send an image binary in the body of the post request and print out the imageInsightsToken, the number of tags, the number of actions, and the first actionType.
"""
client = VisualSearchAPI(CognitiveServicesCredentials(subscription_key))
image_path = os.path.join(TEST_IMAGES, "image.jpg")
with open(image_path, "rb") as image_fd:
# You need to pass the serialized form of the model
knowledge_request = json.dumps(VisualSearchRequest().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!")
KnowledgeRequest,
)
from msrest.authentication import CognitiveServicesCredentials
subscription_key = '9cd2655c2ff34fd2b28cbd330b583140'
PATH = 'C:\\Users\\USER\\azure-cognitive-samples\\mytestenv\\TestImages\\'
image_path2 = os.path.join(PATH, "image.jpg")
image_path = "jean_test.jpeg"
client = VisualSearchClient(
endpoint="https://api.cognitive.microsoft.com",
credentials=CognitiveServicesCredentials(subscription_key))
with open(image_path, "rb") as image_fd:
# You need to pass the serialized form of the model
knowledge_request = json.dumps(VisualSearchRequest().serialize())
print("\r\nSearch 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.")
# 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!")
def binary_image( image_path, subscription_key ):
knowledge_request = VisualSearchRequest()
return search( image_path, subscription_key, knowledge_request )
def cropped_image( image_path, subscription_key, top ,bottom ,left ,right ):
crop_area = CropArea( top = top, bottom = bottom, left = left, right = right )
knowledge_request = VisualSearchRequest( image_info = ImageInfo( crop_area = crop_area ) )
return search( image_path, subscription_key, knowledge_request )