We will do the work in this directory. NOTE Change the name of the file you unzipped to models. NOTE Can be duplicates in command below. Then run the following commands in models/research directory to run the setup.py Your dataset must be in voc format and each image must have its own tag file (with an .xml

We will use Ubuntu image as base, for that we should extend our new image from ubuntu official repository. As we are going to run object detection example we need to install all dependencies. All steps you can find on installation page. For detailed steps to install Tensorflow, follow the Tensorflow installation instructions. Let's make /tensorflow/models/research our working directory: The Tensorflow Object Detection API uses Protobufs to configure model and training parameters.

TensorFlow Lite is an open source deep learning framework for on-device inference. Therefore, we need to convert our trained .pb TensorFlow is an end-to-end open source platform for machine learning. Moreover, It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in Machine Learning. In addition, it helps developers easily build and deploy Machine Learning powered applications.