object-detection-android
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📱 Custom Object Detection with TensorFlow Lite (not Real-Time)
Object Detection Android App
You can find an in depth walkthrough for training a TensorFlow lite model here.
Setup
git clone
the repo and cd
into it by running the following command:
git clone https://github.com/cloud-annotations/object-detection-android.git
cd object-detection-android
Install Android Studio
The recommended way to develop applications for Android is by using Android Studio, which can be downloaded here
Open the project with Android Studio
Launch Android Studio and choose Open an existing Android Studio project
In the file selector, choose object-detection-android
.
You will get a Gradle Sync popup, the first time you open the project, asking about using gradle wrapper. Click OK.
Set up an Android device
You can't load the app from android studio onto your phone unless you activate developer mode and USB Debugging. This is a one time setup process.
Follow these instructions.
Add your model files to the project
Copy the model_android
directory generated from the classification walkthrough and paste it into the object-detection-android/app/src/main/assets
folder of this repo.
Run the app
In Android Studio run a Gradle sync so the build system can find your files.
Then hit play to start the build and install process.