Cloud Native应用交付

  • 首页
  • 关于本站
  • 个人介绍
  • Downloads
  • Repo
    • Github
    • Container
  • F5
    • F5 In AI Agent Arch
    • F5 AI Infrastructure Blueprint
    • F5 Python SDK
    • F5-container
    • F5-LBaaS
  • 社交
    • 联系我
    • 微信/微博
    • 公众号
    • 打赏赞助
行至水穷处 坐看云起时
Cloud Native Application Services: cnadn.net
  1. 首页
  2. AI
  3. 正文

Use Azure cognitive to analyze image

2025年01月22日 4907点热度 0人点赞 0条评论

Warning: Array to string conversion in /home/wwwroot/myf5/wp-content/plugins/wpjam-basic/public/wpjam-utils.php on line 496
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

Face at location 1565,274,1718,427

Array
本作品采用 知识共享署名-非商业性使用 4.0 国际许可协议 进行许可
标签: azure azure cognitive computer vision
最后更新:2025年01月22日

纳米

linjing.io

打赏 点赞
< 上一篇
下一篇 >

文章评论

razz evil exclaim smile redface biggrin eek confused idea lol mad twisted rolleyes wink cool arrow neutral cry mrgreen drooling persevering
取消回复

这个站点使用 Akismet 来减少垃圾评论。了解你的评论数据如何被处理。

页面AI聊天助手
文章目录
  • Description: a man and woman sitting on a couch with a dog and a cup
  • Tag: wooden Confidence: 0.5973995327949524
  • Face at location 1565,274,1718,427

纳米

linjing.io

☁️迈向Cloud Native ADC ☁️

认证获得:
TOGAF: ID 152743
Kubernetes: CKA #664
Microsoft: MCSE MCDBA
Cisco: CCNP
Juniper: JNCIS
F5:
F5 Certified Solution Expert, Security
F5 Certified Technology Specialist, LTM/GTM/APM/ASM
F5 Certified BIG-IP Administrator
  • 点击查看本博技术要素列表
  • 归档
    分类
    • AI
    • Automation
    • Avi Networks
    • Cisco ACI
    • CISCO资源
    • F5 with ELK
    • F5-Tech tips
    • F5技术
    • Juniper
    • Linux
    • NGINX
    • SDN
    • ServiceMesh
    • WEB编程
    • WINDOWS相关
    • 业界文章
    • 交换机技术
    • 化云为雨/Openstack
    • 协议原理
    • 容器/k8s
    • 我的工作
    • 我的生活
    • 网站技术
    • 路由器技术
    • 项目案例
    标签聚合
    neutron network api irule openstack istio gtm k8s bigip docker envoy F5 nginx DNS flannel
    最近评论
    Abeny 发布于 8 个月前(02月20日) Very good!
    lz 发布于 2 年前(02月26日) 66666666666666
    汤姆 发布于 2 年前(09月10日) 嗨,楼主,里面的json怎么下载啊,怎么收费啊?
    汤姆 发布于 2 年前(09月09日) 大佬,kib的页面可以分享下吗?谢谢
    zhangsha 发布于 2 年前(05月12日) 资料发给我下,谢谢纳米同志!!!!lyx895@qq.com
    浏览次数
    • Downloads - 196,277 views
    • 联系我 - 137,363 views
    • 迄今为止最全最深入的BIGIP-DNS/GTM原理及培训资料 - 127,005 views
    • Github - 115,500 views
    • Sniffer Pro 4 70 530抓包软件 中文版+视频教程 - 91,661 views
    • F5常见log日志解释 - 90,869 views
    • 迄今为止最全最深入的BIGIP-DNS/GTM原理及培训资料 - 89,031 views
    • 从传统ADC迈向CLOUD NATIVE ADC - 下载 - 87,880 views
    • 关于本站 - 76,663 views
    • F5利用Elastic stack(ELK)进行应用数据挖掘系列(2)-DNS - 65,096 views
    链接表
    • F5SE创新
    • Jimmy Song‘s Blog
    • SDNlab
    • Service Mesh社区
    • 三斗室
    • 个人profile
    • 云原生社区

    COPYRIGHT © 2023 Cloud Native 应用交付. ALL RIGHTS RESERVED.

    Theme Kratos Made By Seaton Jiang

    京ICP备14048088号-1

    京公网安备 11010502041506号