Azure Functions and Microsoft Cognitive Services Computer Vision API
summary
Creates an Azure Function that watches a blob container, sends each new JPEG to the Microsoft Cognitive Services Computer Vision API, and writes the returned adult and racy scores into blob metadata before moving files to accepted or rejected containers. Demo deploys the Function and a Computer Vision resource in Azure, runs against nine test images, and shows concrete results (example: man racy 45% adult 2%, woman racy 87% adult 15%). Code exists in C# and JavaScript.
AI-written summary · about
chapters (36)
- 0:00Intro
- 0:15Agenda
- 8:22What are Azure Functions
- 9:46Azure Functions Integration
- 10:38Common Scenarios
- 12:33Templates
- 13:25Timer Functions
- 14:00Processing Functions
- 14:42WebLock API Functions
- 15:19Functions Overview
- 16:17Functions Triggers
- 16:40How to Test
- 17:07Fall Preview
- 19:55Demo
- 20:15Demo Issues
- 21:56Create New Function App
- 22:29Create New Resource Group
- 24:28GitHub repo
- 25:26Demo script
- 27:01Horizontal scrolling
- 27:19Storage account view
- 27:29Blob storage account
- 28:43Function app
- 30:11Run function
- 30:34Run function code
- 33:14Project files
- 35:46Add account
- 36:05Login
- 36:28Key
- 39:47App Settings
- 42:11Testing
- 43:04Blob Storage
- 45:56Demo Results
- 46:49Azure Storage Explorer
- 50:40Questions
- 59:01Preview for proxies
related talks
46mBuild apps with state-of-the-art computer vision
57mEasier AI allows everyone to build smart apps
58mPlaying the game with Azure Cognitive Services
44mHop on the serverless adventure
01h 03mEasier AI allows everyone to build smart apps
01h 00m5 Levels of AI in Microsoft Azure
01h 00mA lap around Microsoft Cognitive Services Vision API
09mIn Summary