Mastering Computer Vision with TensorFlow 2.x

Viewing the model output in TensorBoard

In Chapter 10, Object Detection Using R-CNN, SSD, and R-FCN, we learned how to view the TensorFlow model output results in TensorBoard using Google Colab. In this section, we will show you how to start TensorBoard from the cloud platform by executing a command in the terminal:

1. Let's start by entering the following command in your terminal:

tensorboard --logdir=gs://${YOUR_GCS_BUCKET}/train

After running the preceding command, if you come across an error, such as ValueError: Duplicate plugins for name projector, then copy diagnose_tensorboard.py as a text file from https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py and save it to your directory. ...