Image Recognition Using TensorFlow Machine Learning Demo

Simple Demonstration to Train a Machine Learning Model to recognize Apples from Bananas

Installation (Tested on Ubuntu 18.04 - 8GB Memory - 4 core cpu VM):

git clone https://github.com/chrisjd20/img_rec_tf_ml_demo.git
cd img_rec_tf_ml_demo
sudo apt install python3 python3-pip -y
sudo python3 -m pip install --upgrade pip
sudo python3 -m pip install --upgrade setuptools
sudo python3 -m pip install --upgrade tensorflow==1.15
sudo python3 -m pip install tensorflow_hub              #this one may or may not be needed in order to run

Training a TensowFlow ML Model Based on Images in ./training_images/ Folder ( tested on PNG files only ):

python3 retrain.py --image_dir ./training_images/

_{^{retrain.py is a slightly modified version of https://raw.githubusercontent.com/tensorflow/hub/master/examples/image_retraining/retrain.py}}

This will create two files we will be using at:

1. /tmp/retrain_tmp/output_graph.pb - Trained Machine Learning Model
2. /tmp/retrain_tmp/output_labels.txt - Labels for Images

Predicting Images in the unknown_images folder based on our trained Model:

chmod 755 predict_images_using_trained_model.py
./predict_images_using_trained_model.py

Remove Temp Cache Files Between Different Retrains

rm -rf /tmp/retrain_tmp /tmp/tfhub_modules