anupamchugh

import UIKit
import Vision

class ViewController: UIViewController, UIImagePickerControllerDelegate,  UINavigationControllerDelegate {

    @IBOutlet weak var imageView: UIImageView!
    @IBOutlet weak var textView: UITextView!

    var animalRecognitionRequest = VNRecognizeAnimalsRequest(completionHandler: nil)
    

anupamchugh

import UIKit
import CoreML

enum Animal {
    case cat
    case dog
}


class ViewController: UIViewController, UIImagePickerControllerDelegate, UINavigationControllerDelegate {

anupamchugh

import coremltools

coreml_model = coremltools.converters.keras.convert('model.h5', input_names=['image'], output_names=['output'],image_input_names='image')

coreml_model.author = 'Anupam Chugh'
coreml_model.short_description = 'Cat Dog Classifier converted from a Keras model'
coreml_model.input_description['image'] = 'Takes as input an image'
coreml_model.output_description['output'] = 'Prediction as cat or dog'

anupamchugh

import UIKit
import Vision
import VisionKit

class ViewController: UIViewController, VNDocumentCameraViewControllerDelegate {

    @IBOutlet weak var imageView: UIImageView!
    @IBOutlet weak var textView: UITextView!
    
    var textRecognitionRequest = VNRecognizeTextRequest(completionHandler: nil)

anupamchugh

func createVisionRequest(image: UIImage){
        
        currentImage = image
        guard let cgImage = image.cgImage else {
            return
        }
        let requestHandler = VNImageRequestHandler(cgImage: cgImage, orientation: image.cgImageOrientation, options: [:])
        let vnRequests = [vnTextDetectionRequest]
        
        DispatchQueue.global(qos: .background).async {

anupamchugh

extension ViewController: UIImagePickerControllerDelegate, UINavigationControllerDelegate {
    
    func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [UIImagePickerController.InfoKey: Any]) {
        picker.dismiss(animated: true)
        
        guard let uiImage = info[UIImagePickerController.InfoKey.originalImage] as? UIImage else {
            fatalError("Error!")
        }
        imageView.image = uiImage
        createVisionRequest(image: uiImage)

anupamchugh

guard UIImagePickerController.isSourceTypeAvailable(.camera) else {
            presentPhotoPicker(sourceType: .photoLibrary)
            return
        }
        let photoSourcePicker = UIAlertController()
        let takePhoto = UIAlertAction(title: "Camera", style: .default) { [unowned self] _ in
            self.presentPhotoPicker(sourceType: .camera)
        }
        let choosePhoto = UIAlertAction(title: "Photos Library", style: .default) { [unowned self] _ in
            self.presentPhotoPicker(sourceType: .photoLibrary)

anupamchugh

func imageClassifier(image: UIImage, wordNumber: Int, characterNumber: Int, currentObservation : VNTextObservation){
        let request = VNCoreMLRequest(model: model) { [weak self] request, error in
            guard let results = request.results as? [VNClassificationObservation],
                let topResult = results.first else {
                    fatalError("Unexpected result type from VNCoreMLRequest")
            }
            let result = topResult.identifier
            let classificationInfo: [String: Any] = ["wordNumber" : wordNumber,
                                                     "characterNumber" : characterNumber,
                                                     "class" : result]

anupamchugh

struct ContentView : View {

    @EnvironmentObject var observer : SwipeObserver
    
    var body : some View{
        
        GeometryReader{geo in
            
            ZStack{
                

anupamchugh

struct ContentView: View {
    var body: some View {

        VStack{
        
            Label("Hello Label", systemImage: "sun.min")
                .font(.system(.title, design: .rounded))
            
            Label("Title only label", systemImage: "sun.min")
                .font(.system(.title, design: .rounded))