From 8bb5a552311a1fc0805c8e65be570a88e44cf13f Mon Sep 17 00:00:00 2001 From: abda <abda@dtu.dk> Date: Tue, 11 Apr 2023 22:17:45 +0200 Subject: [PATCH] Chapter 10 text --- Chapter10/Readme.md | 33 ++++++++++++++++++++++++++++++++- 1 file changed, 32 insertions(+), 1 deletion(-) diff --git a/Chapter10/Readme.md b/Chapter10/Readme.md index 5b549cd..2eb246c 100644 --- a/Chapter10/Readme.md +++ b/Chapter10/Readme.md @@ -1 +1,32 @@ -# The first page +# Material for Chapter 10 + +The notebook the exercise in Chapter 10 is available from here: +[Notebook for mini U-net](https://github.com/vedranaa/teaching-notebooks/blob/main/02506_week10_MiniUnet.ipynb) + +You can aslo open it directly in Google Colab from here: +[](https://colab.research.google.com/github/vedranaa/teaching-notebooks/blob/main/02506_week10_MiniUnet.ipynb) + + +## Run the notebook on DTU Gbar + +You can also run the notebook on Gbar on an interactive note. This is done by setting up a Python environment. First you should log onto an interactive GPU node such as `voltash` by running the following command on the command line: + +`voltash -X` + +To set up a Python environment, you can use the script `env02506.sh`. You should place the file `env02506.sh` in a folder on the Gbar and then run the command line: + +`source env02506.sh` + +The first time you run this, the script will create a new python environment called `env02506` and activate it. + +Then you should install the packages needed which include: + +`pip install torch torchvision` + +`pip install Pillow` + +`pip install notebook` + +Now you are good to go. You can navigate to the folder that you wish to store the code, download the notebook from the link above, and open a jupyter notebook by typing the following in the command line: + +`jupyter-notebook` -- GitLab