In this repositories, I will put the summaries and related video which comes from Master Thesis.
In this repository are placed all the experiment done during Master Thesis. They will be organized for DeepTesla experiment and CARLA experiment.
Currently, Tensorboard summaries available are:
- CV - DeepTesla with related video
- NVIDIA - DeepTesla with related video
- CNN LSTM - DeepTesla with related video
- CNN LSTM - CARLA data
- A3C - CARLA data
I assume you have Python3 installed.
First of all, install Tensorflow. For this thesis, it has been used Tensorflow 1.3.
Open a terminal and type:
$ sudo pip3 install tensorboard
Once pip3 has finished to install, open a terminal and type
$ cd <experiment-folder>
$ tensorboard --logdir=<summary_folder>/
It will be loaded only video which contains data that are not used in training phase. If you would like to see training data, there are in the graph section plots which contains differences between neural network output and original output.
It will be loaded videos and related graphs from the original work.