WARNING: This repository is no longer maintained :warning: This repository will not be updated. The repository will be kept available in read-only mode.
Replaced MCA with App ID. Removing all references of MCA
2.1
7 years ago
Update the application and server to Swift 3.1
Started using CloudConfiguration
Replaced Alchemy with Watson Visual Recognition
2.0
7 years ago
Many updates since last release.
Supports Swift 3.0.2 and Xcode 8.2
OpenWhisk uses Swift 3.0
Fixes for various services changing
0.1.3
7 years ago
BluePic server migration to Swift 06-20.
BluePic iOS migration to Swift 2.3, Xcode 8 Beta 3, and iOS 10.
Uncovered BMSSecurity issues on server and iOS client, fix was implemented, Pods updated.
0.1.2
7 years ago
Migration to Swift 06-06.
README updates and improvements.
Fixed iOS client authentication issues preventing user's from uploading photos after a short period of time.
Populator scripts now work with directories with spaces in their name.
Refactored OpenWhisk sequence to use Whisk API.
0.1.1
7 years ago
Refactored iOS and server code to use new multi-part form capabilities in Kitura.
Added logic to handle the “NO_TAGS” response from AlchemyAPI.
Added logout functionality.
Improved user experience by adding banner for displaying connection errors.
Refactored iOS code - added new Image structures for upload and download use cases.
README documentation improvements.
Migrated to Swift-cfenv 1.2.x.
Fixed several bugs.
0.1.0
7 years ago
Integration with Cloudant, Object Storage, Mobile Client Access (MCA), BlueMix Push, and OpenWhisk.
iOS app can be launched and provides basic capabilities even if MCA, Push, and OpenWhisk are not configured.
Provides support for the IBM Cloud Tools for Swift for seamless deployment to Bluemix (e.g. populates Cloudant and Object Storage with sample data and provisions the app on Bluemix).
Users of the app can view image feed and upload pictures.
If optional services (e.g. MCA, Push, OpenWhisk) are configured, then images are enhanced with weather and tag (e.g. object and scene recognition) data.