Awesome

Image Recognition Demo App for Corrosion Diagnoses

This sample demonstrates the Amazon S3 TransferManager found in the AWS Mobile SDK for iOS.

App Description: http://geegeck.strikingly.com/

Download App: https://itunes.apple.com/us/app/geegeck/id1076214902?mt=8&ign-mpt=uo%3D4

Requirements

• Xcode 7 and later
• iOS 8 and later

Using the Sample

1. The AWS Mobile SDK for iOS is available through CocoaPods. If you have not installed CocoaPods, install CocoaPods:

    sudo gem install cocoapods
    pod setup
   

2. To install the AWS Mobile SDK for iOS, simply add the following line to your Podfile:

    pod 'AWSS3'
   

   Then run the following command:

    pod install
   

3. Create an Amazon S3 bucket. (For details on creating a bucket in the Amazon S3 console, see Create a Bucket.)

4. In the Amazon Cognito console, use Amazon Cognito to create a new identity pool. Obtain the PoolID constant. Make sure the role has full permissions for the bucket you created.

5. Open S3TransferManagerSampleSwift.xcworkspace.

6. Open Constants.swift and update the following lines with the appropriate constants:

    let CognitoRegionType = AWSRegionType.Unknown  // e.g. AWSRegionType.USEast1
    let DefaultServiceRegionType = AWSRegionType.Unknown // e.g. AWSRegionType.USEast1
    let CognitoIdentityPoolId = "YourCognitoIdentityPoolId"
    let S3BucketName = "YourS3BucketName"
    
   

7. Extract the full URL of the image you uploaded from your bucket. Important: make sure your AWS bucket creditials are set up for public read permissions.

   let fullUrl = "https://s3.amazonaws.com/{your-bucket-name}/" + uploadRequest.key! `

8. Incorporate your MetaMind API classifier ID + authentication credentials

    let parameters:[String : AnyObject] = ["classifier_id" : xxxx, "image_url" : fullUrl]
                    
    let credentialData = "xxxx".dataUsingEncoding(NSUTF8StringEncoding)!
    let base64Credentials = credentialData.base64EncodedStringWithOptions([])
                    
    let headers = ["Authorization": "Basic xxxx","Content-Type":"application/x-www-form-urlencoded"]
   

9. Build and run the sample app.