TestsTested | ✗ |
LangLanguage | Obj-CObjective C |
License | MIT |
ReleasedLast Release | Jan 2018 |
Maintained by Streamoid Technologies.
This repository contains binary distributions of PiQAlike iOS framework.
If you have any questions, comments, or issues related to PiQAlike, Please contact the team by emailing [email protected].
PiQAlike is an iOS SDK for visual search recommendations in fashion. PiQAlike SDK provided by Streamoid Technologies lets you seemlessly integrate visual search feature into your native iOS applications.
PiQAlike can be installed directly into your application by importing a framework or via CocoaPods. Quick installation instructions are provided below for reference.
Download the appropriate build artifact from this repository and add it to your application:
bash ${SRCROOT}/PiQAlike.framework/strip-framework.sh
Build and run your project to verify installation was successful. Once you have completed a successful build, refer to the Verifying PiQAlike Configuration section below for details on how to test your setup.
<key>NSAppTransportSecurity</key>
<dict>
<key>NSAllowsArbitraryLoads</key>
<true/>
</dict>
<key>Privacy - Camera Usage Description</key>
<value>Uses Camera </value>
<key>Privacy - Photo Library Usage Description</key>
<value>Uses Photo Library </value>
Once you have finished installing PiQAlike via CocoaPods or framework, you can test your configuration by importing the headers and connecting a client to the PiQAlike cloud. To do so, edit your application delegate to include the code below (note that you must substitute the client name and client token placeholder text with your actual values, in order to get these values please contact us at [email protected]):
#import <PiQAlike/PiQAlike.h>
- (BOOL)application:(UIApplication *)application didFinishLaunchingWithOptions:(NSDictionary *)launchOptions
{
[PiQAlikeClient initializeWithClientName:CLIENT_NAME andClientToken:CLIENT_TOKEN];
}
Launch your application and verify that the connection is successful. You are now ready to begin visual search.
You can reach the Streamoid team at any time by emailing [email protected].