Notebooks do not work when loading the necessary libraries

[sevenbonk]

Every time I try to run any of th notebooks on Google colab, they do not work when loading the necessary libraries. Why is that? For example, in Augmenting a dataset for detection using COCO format which is the one I'm most interested about, I get:

/usr/local/lib/python3.10/dist-packages/clodsa/init.py in
1 from future import absolute_import
----> 2 from . import augment
3 import sys, getopt
4
5 def main(argv):

/usr/local/lib/python3.10/dist-packages/clodsa/augment.py in
1 from future import absolute_import
----> 2 from .augmentors.augmentorFactory import createAugmentor
3 from .transformers.transformerFactory import transformerGenerator
4 from .techniques.techniqueFactory import createTechnique
5 import argparse

/usr/local/lib/python3.10/dist-packages/clodsa/augmentors/init.py in
----> 1 from .augmentorFactory import *

/usr/local/lib/python3.10/dist-packages/clodsa/augmentors/augmentorFactory.py in
1 from future import absolute_import
----> 2 from .augmentorsList import Augmentors
3
4 def createAugmentor(problem,annotationmode,outputmode,generationmode,inputPath,parameters):
5 Augmentor = Augmentors[problem][annotationmode][outputmode][generationmode]

/usr/local/lib/python3.10/dist-packages/clodsa/augmentors/augmentorsList.py in
1 from future import absolute_import
2 from .folderKerasLinearClassificationAugmentor import FolderKerasLinearClassificationAugmentor
----> 3 from .folderKerasSemanticSegmentationAugmentor import FolderKerasSemanticSegmentationAugmentor
4 from .folderLinearClassificationAugmentor import FolderLinearClassificationAugmentor
5 from .folderLinearSemanticSegmentationAugmentor import FolderLinearSemanticSegmentationAugmentor

/usr/local/lib/python3.10/dist-packages/clodsa/augmentors/folderKerasSemanticSegmentationAugmentor.py in
8 import os
9 import cv2
---> 10 from sklearn.externals.joblib import Parallel, delayed
11 import random
12 import numpy as np

ModuleNotFoundError: No module named 'sklearn.externals.joblib'

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