test.ai Classifier Builder

This is the classifier and training/running scripts for the test.ai elements classifier. This is used to build a model for the testai appium-classifier-plugin(https://github.com/testdotai/appium-classifier-plugin).

System setup

You will need to install Tensorflow(www.tensorflow.org), Google's open source AI framework.

pip install tensorflow

Build Classifier

To build the classifier from the provided images run the following.

python retrain.py --image_dir training_images/ --output_graph output/saved_model.pb --output_labels output/saved_model.pbtxt --how_many_training_steps 4000 --learning_rate 0.30 --testing_percentage 25 --validation_percentage 25 --eval_step_interval 50 --train_batch_size 2000 --test_batch_size -1 --validation_batch_size -1 --bottleneck_dir /tmp/bottleneck

Run Classifier

To use the classifier to classify images, run the script under sample_run/ directory.

python run_model.py --image cart.png