Use Azure cognitive to analyze image

2025年01月22日 109点热度 0人点赞 0条评论

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:&lt;15}", 
    f" {colors.yellow}Confidence:{colors.reset} {tag.confidence:&lt;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...")

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