Tabla de Contenidos: “…Chapter 4: Deep Diving into the ML Kit with Firebase -- ML Kit basics -- Basic feature set -- Building the application -- Adding Firebase to our application -- Face detection -- Face orientation tracking -- Landmarks -- Classification -- Implementing face detection -- Face detector configuration -- Running the face detector -- Step one: creating a FirebaseVisionImage from the input -- Using a bitmap -- From media.Image -- From a ByteBuffer -- From a ByteArray -- From a file -- Step two: creating an instance of FirebaseVisionFaceDetector object -- Step three: image detection -- Retrieving information from detected faces -- Barcode scanner -- Step one: creating a FirebaseVisionImage object -- From bitmap -- From media.Image -- From ByteBuffer -- From ByteArray -- From file -- Step two: creating a FirebaseVisionBarcodeDetector object -- Step three: barcode detection -- Text recognition -- On-device text recognition -- Detecting text on a device -- Cloud-based text recognition -- Configuring the detector -- Summary -- Chapter 5: A Snapchat-Like AR Filter on Android -- MobileNet models -- Building the dataset -- Retraining of images -- Model conversion from GraphDef to TFLite -- Gender model -- Emotion model -- Comparison of MobileNet versions -- Building the Android application -- References -- Questions -- Summary -- Chapter 6: Handwritten Digit Classifier Using Adversarial Learning -- Generative Adversarial Networks -- Generative versus discriminative algorithms -- Steps in GAN -- Understanding the MNIST database -- Building the TensorFlow model -- Training the neural network -- Building the Android application -- FreeHandView for writing -- Digit classifier -- Summary -- Chapter 7: Face-Swapping with Your Friends Using OpenCV -- Understanding face-swapping -- Steps in face-swapping -- Facial key point detection -- Identifying the convex hull…”