If you need to leave a long job, such as a program that will run for longer than 5 hrs, or a jupyter notebook you might have noticed errors such as "Broken Pipe" or about your access to AFS being expired.
rm: cannot remove '/afs/inf.ed.ac.uk/user/s20/UUN/.last_login': Permission denied
-bash: /afs/inf.ed.ac.uk/user/s20/UUN/.last_login: Permission denied
-bash: cd: /afs/inf.ed.ac.uk/user/s20/UUN: Permission denied
-bash: /afs/inf.ed.ac.uk/user/s20/UUN/.bash_profile: Permission denied
| # Disable shadow | |
| set ray_shadows,off | |
| # Set occupancy as color | |
| spectrum q, blue_yellow | |
| # Set B-factor as thickness | |
| show cartoon | |
| cartoon putty | |
| unset cartoon_smooth_loops |
| docker exec -it {DOCKER_CONTAINER_ID} /root/.poetry/bin/poetry run jupyter notebook list |
| import os | |
| import pandas as pd | |
| from cv2 import imread, resize, imwrite, IMREAD_GRAYSCALE, INTER_AREA | |
| # Extension of files needed: | |
| ext = '.jpg' | |
| label_ext = '.txt' | |
| # Directory of interest: | |
| dir_path = 'dataset' |
| import tensorflow as tf | |
| mnist = tf.keras.datasets.mnist | |
| (x_train, y_train),(x_test, y_test) = mnist.load_data() | |
| x_train, x_test = x_train / 255.0, x_test / 255.0 | |
| model = tf.keras.models.Sequential([ | |
| tf.keras.layers.Flatten(input_shape=(28, 28)), | |
| tf.keras.layers.Dense(512, activation=tf.nn.relu), | |
| tf.keras.layers.Dropout(0.2), |