Google Colaboratoryでのpklファイルが読み込めない

Question

前提・実現したいこと

Google Colaboratoryでpklファイルを読み込もうとした際にエラーが発生してしまいます。

またpklファイルはjoblibで読み込みをおこないたいです。

発生している問題・エラーメッセージ

ModuleNotFoundError                       Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/menpo/feature/optional/vlfeat.py in <module>()
      7 try:
----> 8     from cyvlfeat.sift.dsift import dsift as cyvlfeat_dsift
      9 except ImportError as e:

9 frames
/content/drive/My Drive/熱画像から顔面皮膚温の部位抽出プログラム/src/cyvlfeat/__init__.py in <module>()
----> 1 import cyvlfeat.fisher
      2 import cyvlfeat.generic
      3 import cyvlfeat.gmm

/content/drive/My Drive/熱画像から顔面皮膚温の部位抽出プログラム/src/cyvlfeat/fisher/__init__.py in <module>()
----> 1 from .fisher import fisher

/content/drive/My Drive/熱画像から顔面皮膚温の部位抽出プログラム/src/cyvlfeat/fisher/fisher.py in <module>()
      1 import numpy as np
----> 2 from .cyfisher import cy_fisher
      3 

ModuleNotFoundError: No module named 'cyvlfeat.fisher.cyfisher'

During handling of the above exception, another exception occurred:

MenpoMissingDependencyError               Traceback (most recent call last)
<ipython-input-83-d2537e95320f> in <module>()
    119 #%cd cyvlfeat/fisher
    120 #fit = pickle.load(open('AAM_model_2020_1027.pkl', 'rb'))
--> 121 fit = joblib.load('AAM_model_2020_1027.pkl')
    122 #fit = pickle.load('thermo_landmark.pkl')
    123 #%cd ../../

/usr/local/lib/python3.6/dist-packages/joblib/numpy_pickle.py in load(filename, mmap_mode)
    583                     return load_compatibility(fobj)
    584 
--> 585                 obj = _unpickle(fobj, filename, mmap_mode)
    586     return obj

/usr/local/lib/python3.6/dist-packages/joblib/numpy_pickle.py in _unpickle(fobj, filename, mmap_mode)
    502     obj = None
    503     try:
--> 504         obj = unpickler.load()
    505         if unpickler.compat_mode:
    506             warnings.warn("The file '%s' has been generated with a "

/usr/lib/python3.6/pickle.py in load(self)
   1048                     raise EOFError
   1049                 assert isinstance(key, bytes_types)
-> 1050                 dispatch[key[0]](self)
   1051         except _Stop as stopinst:
   1052             return stopinst.value

/usr/lib/python3.6/pickle.py in load_global(self)
   1336         module = self.readline()[:-1].decode("utf-8")
   1337         name = self.readline()[:-1].decode("utf-8")
-> 1338         klass = self.find_class(module, name)
   1339         self.append(klass)
   1340     dispatch[GLOBAL[0]] = load_global

/usr/lib/python3.6/pickle.py in find_class(self, module, name)
   1386             elif module in _compat_pickle.IMPORT_MAPPING:
   1387                 module = _compat_pickle.IMPORT_MAPPING[module]
-> 1388         __import__(module, level=0)
   1389         if self.proto >= 4:
   1390             return _getattribute(sys.modules[module], name)[0]

/usr/local/lib/python3.6/dist-packages/menpo/feature/optional/vlfeat.py in <module>()
      8     from cyvlfeat.sift.dsift import dsift as cyvlfeat_dsift
      9 except ImportError as e:
---> 10     raise MenpoMissingDependencyError(e)
     11 
     12 

MenpoMissingDependencyError: You need to install the 'No module named 'cyvlfeat.fisher.cyfisher'' package in order to use this functionality. We recommend that you use conda to achieve this - try the command 'conda install -c menpo No module named 'cyvlfeat.fisher.cyfisher'' in your terminal.

該当のソースコード

# coding: utf-8
import copy
import glob
import keras
from keras.applications.imagenet_utils import preprocess_input
#from keras.backend.tensorflow_backend import set_session
#from tensorflow.compat.v1.keras.backend import set_session
from keras import backend as K
from keras.models import Model
from keras.preprocessing import image
import matplotlib.pyplot as plt
import pickle
from random import shuffle
import scipy
from scipy.misc import imread
from scipy.misc import imresize
import seaborn as sns
import tensorflow as tf
import requests
# from tqdm.notebook import tqdm
from tqdm import tqdm
from menpo.shape import bounding_box
from menpo.transform import UniformScale
from menpo.visualize import print_progress
from scipy import io
from PIL import Image
import h5py
import glob2
import menpo.io as mio
import pandas as pd
import os ,sys ,cv2
import matplotlib
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
from pathlib import Path
import dlib
import joblib
import numpy as np
import pickle
from pyclustering.cluster import cluster_visualizer
from pyclustering.cluster.xmeans import xmeans
from pyclustering.cluster.center_initializer import kmeans_plusplus_initializer
#from __future__ import division
from functools import partial
from pathlib import Path
from menpo.base import MenpoMissingDependencyError
import h5py
import numpy as np
from PIL import Image
try:
    import dlib
except ImportError:
    raise MenpoMissingDependencyError('dlib')
from menpodetect.compatibility import STRING_TYPES
from menpowidgets.tools import LogoWidget
'''
from menpowidgets.options import (RendererOptionsWidget, TextPrintWidget,
                      SaveFigureOptionsWidget, AnimationOptionsWidget,
                      LandmarkOptionsWidget, ChannelOptionsWidget,
                      FeatureOptionsWidget, PlotOptionsWidget,
                      PatchOptionsWidget, LinearModelParametersWidget,
                      CameraSnapshotWidget)

from menpowidgets import (visualize_pointclouds, visualize_landmarkgroups,
                          visualize_landmarks, visualize_images, visualize_patches,
                          plot_graph, save_matplotlib_figure, features_selection)
'''
#get_ipython().magic('matplotlib inline')


# グラフのレイアウトの設定
plt.rcParams['font.family'] ='sans-serif'# 使用するフォント
# plt.rcParams['font.family'] = 'IPAexGothic'  # 使用するフォント
# plt.rcParams['font.family'] = 'Times New Roman'  # 使用するフォント

# x軸の目盛線が内向き('in')か外向き('out')か双方向か('inout')
plt.rcParams['xtick.direction'] = 'in'
# y軸の目盛線が内向き('in')か外向き('out')か双方向か('inout')
plt.rcParams['ytick.direction'] = 'in'
plt.rcParams['xtick.major.width'] = 1.0  # x軸主目盛り線の線幅
plt.rcParams['ytick.major.width'] = 1.0  # y軸主目盛り線の線幅
plt.rcParams['font.size'] = 8  # フォントの大きさ
plt.rcParams['axes.linewidth'] = 1.0  # 軸の線幅edge linewidth。囲みの太さ


# importの探索ディレクトリの追加
#MENPO_PATH = '.../src/'
#sys.path.append(MENPO_PATH)
from ssd import SSD300
from ssd_training import MultiboxLoss
from ssd_utils import BBoxUtility

# logの設定
from logging import StreamHandler, DEBUG, Formatter, FileHandler, getLogger

logger = getLogger(__name__)
DIR = 'log/'

log_fmt = Formatter('%(asctime)s %(name)s %(lineno)d [%(levelname)s][%(funcName)s] %(message)s ')
handler = StreamHandler()
handler.setLevel('INFO')
handler.setFormatter(log_fmt)
logger.addHandler(handler)

# ログファイルの保存先
try:
    os.mkdir('./{}'.format(DIR))
except FileExistsError:
    pass

handler = FileHandler(DIR + 'train.py.log', 'a')
handler.setLevel(DEBUG)
handler.setFormatter(log_fmt)
logger.setLevel(DEBUG)
logger.addHandler(handler)

logger.info('start')

fit = joblib.load('AAM_model_2020_1027.pkl')

試したこと

以下のリンクの対処をしました。
https://qiita.com/knok/items/598052d17d0f1b26f77a