Mastering Computer Vision with TensorFlow 2.x

Configuring parameters and installing the required packages

Now that our image preparation work is complete, we will start coding in the Google Colab notebook. The first step is parameter configuration and getting required packages for the training work—this involves the type of model, the parameters for training, and so on. Follow these steps to execute this:

1. Before proceeding to the next step, save the Chapter10_Tensorflow-Training_a_Object_Detector_GoogleColab.ipynb Python file to Google Drive and open it as a Colab notebook.
2. Run the cell Configure parameters and then install the required packages by pressing the Shift + Enter buttons.
3. If everything goes correctly, you should see the output showing model configuration selection, shown ...