anupamchugh

anupamchugh

let modelConfig = MLModelConfiguration()
modelConfig.computeUnits = .cpuAndGPU

let updateTask = try MLUpdateTask(forModelAt: modelURL, trainingData: batchProvider(), configuration: modelConfig,
                             progressHandlers: MLUpdateProgressHandlers(forEvents: [.trainingBegin,.epochEnd],
                              progressHandler: { (contextProgress) in
                                print(contextProgress.event)
                             }) { (finalContext) in
                                
                                if finalContext.task.error?.localizedDescription == nil

anupamchugh

#import <Foundation/Foundation.h>

NS_ASSUME_NONNULL_BEGIN

@interface TorchModule : NSObject

- (nullable instancetype)initWithFileAtPath:(NSString*)filePath
    NS_SWIFT_NAME(init(fileAtPath:))NS_DESIGNATED_INITIALIZER;
+ (instancetype)new NS_UNAVAILABLE;
- (instancetype)init NS_UNAVAILABLE;

anupamchugh

#import "TorchModule.h"
#import <LibTorch/LibTorch.h>

@implementation TorchModule {
 @protected
  torch::jit::script::Module _impl;
}

- (nullable instancetype)initWithFileAtPath:(NSString*)filePath {
  self = [super init];

anupamchugh

var imageView: UIImageView?
var button: UIButton?
var predictionLabel : UILabel?
    
func buildUI()
    {
        
        imageView = UIImageView(frame: .zero)
        imageView?.image = UIImage(named: "placeholder")
        imageView?.contentMode = .scaleAspectFit

anupamchugh

@objc func showActionSheet(sender: UIButton)
    {
        let alert = UIAlertController(title: "Select Image", message: nil, preferredStyle: .actionSheet)
        alert.addAction(UIAlertAction(title: "Camera", style: .default, handler: { _ in
            self.launchCamera()
        }))
        
        alert.addAction(UIAlertAction(title: "Photos Library", style: .default, handler: { _ in
            self.showPhotosLibrary()
        }))

anupamchugh

import UIKit

extension UIImage {
    func resized(to newSize: CGSize, scale: CGFloat = 1) -> UIImage {
        let format = UIGraphicsImageRendererFormat.default()
        format.scale = scale
        let renderer = UIGraphicsImageRenderer(size: newSize, format: format)
        let image = renderer.image { _ in
            draw(in: CGRect(origin: .zero, size: newSize))
        }

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

struct ContentView: View {

    var body: some View {
        PolylineMapView()
    }
}

struct PolylineMapView: UIViewRepresentable {
    func makeCoordinator() -> MapViewCoordinator{
         return MapViewCoordinator(self)

anupamchugh

func makeUIView(context: Context) -> ASAuthorizationAppleIDButton {
        if UIScreen.main.traitCollection.userInterfaceStyle == .dark{
            return ASAuthorizationAppleIDButton(authorizationButtonType: .signIn, authorizationButtonStyle: .white)
        }
        else{
            return ASAuthorizationAppleIDButton(authorizationButtonType: .signIn, authorizationButtonStyle: .black)
        }
}