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from azure.cognitiveservices.vision.computervision import ComputerVisionClient
from azure.cognitiveservices.vision.computervision.models import VisualFeatureTypes
from msrest.authentication import CognitiveServicesCredentials
import os
class colors:
green = '\033[92m'
blue = '\033[94m'
red = '\033[31m'
yellow = '\033[33m'
reset = '\033[0m'
# Paste your endpoint and key below
cog_endpoint = "Paste_endpoint_here"
cog_key = "Paste_key_here"
computervision_client = ComputerVisionClient(cog_endpoint, CognitiveServicesCredentials(cog_key))
# Change the URL between the quotes below to run your own images!
image_to_analyze = "https://raw.githubusercontent.com/pluralsight-cloud/AI-900-Artificial-Intelligence-Workloads-and-Considerations/main/images/image-analysis/1-computervision-couple.jpg"
image_analysis = computervision_client.analyze_image(image_to_analyze,visual_features=[VisualFeatureTypes.description,
VisualFeatureTypes.tags, VisualFeatureTypes.faces])
print("\n-----Image Description-----")
for caption in image_analysis.description.captions:
print(f"{colors.green}Confidence: {colors.reset}" + str(caption.confidence))
print(f"{colors.green}Description: {colors.reset}" + caption.text)
print("----------\n")
input("Press Enter to continue to image tags...\n")
print("-----Image Tags-----")
for tag in image_analysis.tags:
print(f"{colors.green}Tag:{colors.reset} {tag.name:<15}",
f" {colors.yellow}Confidence:{colors.reset} {tag.confidence:<15}")
print("----------\n")
input("Press Enter to continue to face detection...\n")
print("-----Face Detection-----")
for face in image_analysis.faces:
print("Face at location {},{},{},{}".format( face.face_rectangle.left, face.face_rectangle.top, \
face.face_rectangle.left + face.face_rectangle.width, \
face.face_rectangle.top + face.face_rectangle.height))
print("----------")
input("\nPress Enter to Exit...")
结果:
-----Image Description-----
Confidence: 0.48432523012161255
Description: a man and woman sitting on a couch with a dog and a cup
Press Enter to continue to image tags...
-----Image Tags-----
Tag: clothing Confidence: 0.9980252385139465
Tag: person Confidence: 0.9966760873794556
Tag: human face Confidence: 0.9829165935516357
Tag: jeans Confidence: 0.9511970281600952
Tag: footwear Confidence: 0.9418420791625977
Tag: jacket Confidence: 0.9413744211196899
Tag: sitting Confidence: 0.9293597936630249
Tag: outdoor Confidence: 0.9179489612579346
Tag: building Confidence: 0.9165546894073486
Tag: man Confidence: 0.9083777070045471
Tag: bench Confidence: 0.8780822157859802
Tag: scarf Confidence: 0.873085618019104
Tag: coat Confidence: 0.8616373538970947
Tag: handbag Confidence: 0.856252908706665
Tag: smile Confidence: 0.8407089710235596
Tag: street Confidence: 0.820195734500885
Tag: woman Confidence: 0.780620813369751
Tag: people Confidence: 0.750357449054718
Tag: ground Confidence: 0.725933313369751
Tag: wooden Confidence: 0.5973995327949524
Press Enter to continue to face detection...
-----Face Detection-----
Face at location 304,161,458,315
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