Kivy_Tensorflow_Android: A Python repository from azizovrafael

Kivy Tensorflow Android build

This is a read image and predict tflite model. Running Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python and Kivy.

Create a Tensorflow Lite model

Create or use any tflite model.

Check Neural Network input data.
You can find out what size the neural network wants to input using model.py/get_input_shape().

Install Required Python packages

pip3 install --upgrade pip
pip3 install -r requipments.txt

Install adb

We use adb for logging android python executing commands.

Run (Windows, Linux or MacOS)

python3 main.py

Run (Android)

Connect Android device computer with usb. Open USB-Debugging.

buildozer init
buildozer -v android debug deploy run
adb logcat | grep python

Note

Don't Change any things on .spec file

source.include_exts = py,png,jpg,kv,atlas,tflite

android.gradle_dependencies = 'org.tensorflow:tensorflow-lite:1.12.0','org.tensorflow:tensorflow-lite-support:0.0.0-nightly-SNAPSHOT'

requirements = python3,kivy,numpy,opencv

android.arch = arm64-v8a, armeabi-v7a

Tensotflow lite model maker documentation

https://www.tensorflow.org/lite/models/modify/model_maker/object_detection

azizovrafael/Kivy_Tensorflow_Android