This android app is based on the Fritz tutorial. I changed the model to our own model. Currently, the hair can be colored to BLUE.

For model training part, refer to our repo.

Here is a post about this APP.

The network model was proposed by Alex L. Cheng C, etc. 'Real-time deep hair matting on mobile devices'

I first convert our Pytorch model to tensorflow GraphDef model(end with .pb) by using ONNX and ONNX-TF. Then generate the Tensorflow Lite FlatBuffer file(.tflite) from a Tensorflow model(.pb). The model is placed in /app/src/main/assets/converted_model_hairnet.tflite.

• Android Studio 3.2 or above
• Android device in developer model (USB debugging enabled)

Step 1: Clone / Fork this repository and open the HairColoringApp in Android Studio

git clone https://github.com/quq99/hair-dye-android.git

In Android Studio, choose "Open an existing Android Studio project" and select hair-dye-android.

Step 2: Build the Android Studio Project

First, "File->Sync Project with Gradle Files" to sync the gradle dependencies. Then, select "Build > Make Project" from the top nav. Download any missing libraries if applicable.

Step 3: Install the app onto your device

With your Android device connected, select Run > Run App from the top nav. When running the app for the first time, you'll have to give permissions to access the camera. After the app is installed and running, point your camera at someone's hair to automatically color it.

• Thanks for Fritz Framework.