Build a Computer Vision iOS app in 15 minutes!

Описание: Ready to take your iOS app to the next level? In this electrifying episode of Coding on Crack, we dive deep into the world of Core ML for computer vision applications! Whether you're a seasoned coder or just starting out, this tutorial is packed with essential tips and tricks to help you harness the power of ML models in your apps.

Join us as we build an awesome app that uses live inference to identify Pokémon through your camera! Plus, we'll guide you through the nitty-gritty of using the Vision framework to run image classifications seamlessly.

Resources:
1. Plist Keys:
NSCameraUsageDescription
NSPhotoLibraryUsageDescription
NSPhotoLibraryAddUsageDescription

2. App Project: https://drive.google.com/file/d/1IBNA...

3. Code to Convert Resnet50 Model to MLPackage for local inference in swift: https://colab.research.google.com/dri...



By the end of this video, you'll know how to set up your app to access the camera, implement real-time predictions, and manage image uploads effortlessly. Don't forget to check the description for your essential plist keys and example code!


*Timestamps:*
00:00 - Introduction to Core ML
01:30 - Setting Up Your Info.plist
03:15 - Understanding the App Structure
06:00 - The Inference Service Breakdown
10:45 - Implementing Live Classification
14:20 - Running Single Image Inference
18:00 - Conclusion & Next Steps


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