def remote_img_tags(remote_image_url):
computervision_client = create_cv_client()
remote_image_tags = computervision_client.tag_image(remote_image_url)
print("\nTags in the remote image: ")
if (len(remote_image_tags.tags) == 0):
print("No tags detected.")
else:
for tag in remote_image_tags.tags:
print("'{}' with confidence {:.2f}%".format(
tag.name, tag.confidence * 100))
def remote_img_analyzer(remote_image_url):
computervision_client = create_cv_client()
remote_image_description = computervision_client.describe_image(
remote_image_url)
print("\nCaptions from remote image: ")
if (len(remote_image_description.captions) == 0):
print("No captions detected.")
else:
for caption in remote_image_description.captions:
print("'{}' >>> {:.2f}%".format(caption.text,
caption.confidence * 100))
def remote_get_coustom(remote_image_url):
computervision_client = create_cv_client()
remote_image_celebs = computervision_client.analyze_image_by_domain(
"celebrities", remote_image_url)
print("\nCelebrities in the remote image:")
if len(remote_image_celebs.result["celebrities"]) == 0:
print("No celebrities detected.")
else:
for celeb in remote_image_celebs.result["celebrities"]:
print(celeb["name"])
def remote_img_categoryzer(remote_image_url):
computervision_client = create_cv_client()
remote_image_features = ["categories"]
remote_image_analysis = computervision_client.analyze_image(
remote_image_url, remote_image_features)
print("\nCategories from remote image: ")
if (len(remote_image_analysis.categories) == 0):
print("No categories detected.")
else:
for category in remote_image_analysis.categories:
print("'{}' with confidence {:.2f}%".format(
category.name, category.score * 100))
def remote_img_adult_detect(remote_image_url):
computervision_client = create_cv_client()
remote_image_features = ["adult"]
remote_image_analysis = computervision_client.analyze_image(
remote_image_url, remote_image_features)
print("\nAnalyzing remote image for adult or racy content ... ")
print("Is adult content: {} with confidence {:.2f}%".format(
remote_image_analysis.adult.is_adult_content,
local_image_analysis.adult.adult_score * 100))
print("Has racy content: {} with confidence {:.2f}%".format(
remote_image_analysis.adult.is_racy_content,
local_image_analysis.adult.racy_score * 100))
def remote_img_brands(remote_image_url):
computervision_client = create_cv_client()
remote_image_objects = computervision_client.detect_objects(
remote_image_url)
print("\nDetecting objects in remote image:")
if len(remote_image_objects.objects) == 0:
print("No objects detected.")
else:
for object in remote_image_objects.objects:
print("object at location {}, {}, {}, {}".format( \
object.rectangle.x, object.rectangle.x + object.rectangle.w, \
object.rectangle.y, object.rectangle.y + object.rectangle.h))
def local_img_analyzer(local_image_path):
computervision_client = create_cv_client()
local_image = open(local_image_path, "rb")
local_image_description = computervision_client.describe_image_in_stream(
local_image)
print("\nCaptions from local image: ")
if (len(local_image_description.captions) == 0):
print("No captions detected.")
else:
for caption in local_image_description.captions:
print("'{}' >>> {:.2f}%".format(caption.text,
caption.confidence * 100))
def remote_img_face_detect(remote_image_url):
computervision_client = create_cv_client()
remote_image_features = ["faces"]
remote_image_analysis = computervision_client.analyze_image(
remote_image_url, remote_image_features)
print("\nFaces in the remote image: ")
if (len(remote_image_analysis.faces) == 0):
print("No faces detected.")
else:
for face in remote_image_analysis.faces:
print("'{}' of age {} at location {}, {}, {}, {}".format(face.gender, face.age, \
face.face_rectangle.left, face.face_rectangle.top, \
face.face_rectangle.left + face.face_rectangle.width, \
face.face_rectangle.top + face.face_rectangle.height))
def remote_get_color(remote_image_url):
computervision_client = create_cv_client()
remote_image_features = ["color"]
remote_image_analysis = computervision_client.analyze_image(
remote_image_url, remote_image_features)
print("\nColor scheme of the remote image: ")
print("Is black and white: ".format(remote_image_analysis.color.is_bw_img))
print("Accent color: 0x{}".format(
remote_image_analysis.color.accent_color))
print("Dominant background color: {}".format(
remote_image_analysis.color.dominant_color_background))
print("Dominant foreground color: {}".format(
remote_image_analysis.color.dominant_color_foreground))
print("Dominant colors: {}".format(
remote_image_analysis.color.dominant_colors))
def remote_img_type(remote_image_url):
computervision_client = create_cv_client()
remote_image_features = VisualFeatureTypes.image_type
remote_image_analysis = computervision_client.analyze_image(
remote_image_url, remote_image_features)
print("\nImage type of remote image:")
if remote_image_analysis.image_type.clip_art_type == 0:
print("Image is not clip art.")
elif remote_image_analysis.image_type.line_drawing_type == 1:
print("Image is ambiguously clip art.")
elif remote_image_analysis.image_type.line_drawing_type == 2:
print("Image is normal clip art.")
else:
print("Image is good clip art.")
if remote_image_analysis.image_type.line_drawing_type == 0:
print("Image is not a line drawing.")
else:
print("Image is a line drawing")