%pip install tensorflow numpy keras lime

Collecting tensorflow
  Using cached tensorflow-2.13.0-cp311-cp311-win_amd64.whl (1.9 kB)
Requirement already satisfied: numpy in c:\users\gvcer\documents\python\env\lib\site-packages (1.24.3)
Collecting keras
  Using cached keras-2.13.1-py3-none-any.whl (1.7 MB)
Collecting lime
  Using cached lime-0.2.0.1-py3-none-any.whl
Collecting tensorflow-intel==2.13.0 (from tensorflow)
  Using cached tensorflow_intel-2.13.0-cp311-cp311-win_amd64.whl (276.6 MB)
Collecting absl-py>=1.0.0 (from tensorflow-intel==2.13.0->tensorflow)
  Using cached absl_py-1.4.0-py3-none-any.whl (126 kB)
Collecting astunparse>=1.6.0 (from tensorflow-intel==2.13.0->tensorflow)
  Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Requirement already satisfied: flatbuffers>=23.1.21 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (23.5.26)
Collecting gast<=0.4.0,>=0.2.1 (from tensorflow-intel==2.13.0->tensorflow)
  Using cached gast-0.4.0-py3-none-any.whl (9.8 kB)
Collecting google-pasta>=0.1.1 (from tensorflow-intel==2.13.0->tensorflow)
  Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)
Collecting h5py>=2.9.0 (from tensorflow-intel==2.13.0->tensorflow)
  Using cached h5py-3.9.0-cp311-cp311-win_amd64.whl (2.7 MB)
Requirement already satisfied: libclang>=13.0.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (16.0.6)
Requirement already satisfied: opt-einsum>=2.3.2 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (3.3.0)
Requirement already satisfied: packaging in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (23.1)
Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (4.23.4)
Requirement already satisfied: setuptools in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (65.5.0)
Requirement already satisfied: six>=1.12.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (1.16.0)
Requirement already satisfied: termcolor>=1.1.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (2.3.0)
Requirement already satisfied: typing-extensions<4.6.0,>=3.6.6 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (4.5.0)
Requirement already satisfied: wrapt>=1.11.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (1.15.0)
Collecting grpcio<2.0,>=1.24.3 (from tensorflow-intel==2.13.0->tensorflow)
  Using cached grpcio-1.56.0-cp311-cp311-win_amd64.whl (4.2 MB)
Collecting tensorboard<2.14,>=2.13 (from tensorflow-intel==2.13.0->tensorflow)
  Using cached tensorboard-2.13.0-py3-none-any.whl (5.6 MB)
Requirement already satisfied: tensorflow-estimator<2.14,>=2.13.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (2.13.0)
Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorflow-intel==2.13.0->tensorflow) (0.31.0)
Requirement already satisfied: matplotlib in c:\users\gvcer\documents\python\env\lib\site-packages (from lime) (3.7.2)
Requirement already satisfied: scipy in c:\users\gvcer\documents\python\env\lib\site-packages (from lime) (1.11.1)
Requirement already satisfied: tqdm in c:\users\gvcer\documents\python\env\lib\site-packages (from lime) (4.65.0)
Requirement already satisfied: scikit-learn>=0.18 in c:\users\gvcer\documents\python\env\lib\site-packages (from lime) (1.3.0)
Collecting scikit-image>=0.12 (from lime)
  Using cached scikit_image-0.21.0-cp311-cp311-win_amd64.whl (22.8 MB)
Requirement already satisfied: networkx>=2.8 in c:\users\gvcer\documents\python\env\lib\site-packages (from scikit-image>=0.12->lime) (3.1)
Requirement already satisfied: pillow>=9.0.1 in c:\users\gvcer\documents\python\env\lib\site-packages (from scikit-image>=0.12->lime) (10.0.0)
Collecting imageio>=2.27 (from scikit-image>=0.12->lime)
  Using cached imageio-2.31.1-py3-none-any.whl (313 kB)
Collecting tifffile>=2022.8.12 (from scikit-image>=0.12->lime)
  Using cached tifffile-2023.7.10-py3-none-any.whl (220 kB)
Collecting PyWavelets>=1.1.1 (from scikit-image>=0.12->lime)
  Using cached PyWavelets-1.4.1-cp311-cp311-win_amd64.whl (4.2 MB)
Collecting lazy_loader>=0.2 (from scikit-image>=0.12->lime)
  Using cached lazy_loader-0.3-py3-none-any.whl (9.1 kB)
Requirement already satisfied: joblib>=1.1.1 in c:\users\gvcer\documents\python\env\lib\site-packages (from scikit-learn>=0.18->lime) (1.3.1)
Requirement already satisfied: threadpoolctl>=2.0.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from scikit-learn>=0.18->lime) (3.1.0)
Requirement already satisfied: contourpy>=1.0.1 in c:\users\gvcer\documents\python\env\lib\site-packages (from matplotlib->lime) (1.1.0)
Requirement already satisfied: cycler>=0.10 in c:\users\gvcer\documents\python\env\lib\site-packages (from matplotlib->lime) (0.11.0)
Requirement already satisfied: fonttools>=4.22.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from matplotlib->lime) (4.40.0)
Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\gvcer\documents\python\env\lib\site-packages (from matplotlib->lime) (1.4.4)
Requirement already satisfied: pyparsing<3.1,>=2.3.1 in c:\users\gvcer\documents\python\env\lib\site-packages (from matplotlib->lime) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7 in c:\users\gvcer\documents\python\env\lib\site-packages (from matplotlib->lime) (2.8.2)
Requirement already satisfied: colorama in c:\users\gvcer\documents\python\env\lib\site-packages (from tqdm->lime) (0.4.6)
Requirement already satisfied: wheel<1.0,>=0.23.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from astunparse>=1.6.0->tensorflow-intel==2.13.0->tensorflow) (0.40.0)
Collecting google-auth<3,>=1.6.3 (from tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached google_auth-2.22.0-py2.py3-none-any.whl (181 kB)
Collecting google-auth-oauthlib<1.1,>=0.5 (from tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached google_auth_oauthlib-1.0.0-py2.py3-none-any.whl (18 kB)
Collecting markdown>=2.6.8 (from tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached Markdown-3.4.3-py3-none-any.whl (93 kB)
Collecting requests<3,>=2.21.0 (from tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached requests-2.31.0-py3-none-any.whl (62 kB)
Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow) (0.7.1)
Requirement already satisfied: werkzeug>=1.0.1 in c:\users\gvcer\documents\python\env\lib\site-packages (from tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow) (2.3.6)
Collecting cachetools<6.0,>=2.0.0 (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached cachetools-5.3.1-py3-none-any.whl (9.3 kB)
Collecting pyasn1-modules>=0.2.1 (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached pyasn1_modules-0.3.0-py2.py3-none-any.whl (181 kB)
Collecting rsa<5,>=3.1.4 (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached rsa-4.9-py3-none-any.whl (34 kB)
Requirement already satisfied: urllib3<2.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow) (1.26.16)
Collecting requests-oauthlib>=0.7.0 (from google-auth-oauthlib<1.1,>=0.5->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)
Collecting charset-normalizer<4,>=2 (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached charset_normalizer-3.2.0-cp311-cp311-win_amd64.whl (96 kB)
Requirement already satisfied: idna<4,>=2.5 in c:\users\gvcer\documents\python\env\lib\site-packages (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow) (3.4)
Collecting certifi>=2017.4.17 (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow)
  Using cached certifi-2023.5.7-py3-none-any.whl (156 kB)
Requirement already satisfied: MarkupSafe>=2.1.1 in c:\users\gvcer\documents\python\env\lib\site-packages (from werkzeug>=1.0.1->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow) (2.1.3)
Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in c:\users\gvcer\documents\python\env\lib\site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow) (0.5.0)
Requirement already satisfied: oauthlib>=3.0.0 in c:\users\gvcer\documents\python\env\lib\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.14,>=2.13->tensorflow-intel==2.13.0->tensorflow) (3.2.2)
Installing collected packages: tifffile, rsa, PyWavelets, pyasn1-modules, markdown, lazy_loader, keras, imageio, h5py, grpcio, google-pasta, gast, charset-normalizer, certifi, cachetools, astunparse, absl-py, scikit-image, requests, google-auth, requests-oauthlib, lime, google-auth-oauthlib, tensorboard, tensorflow-intel, tensorflow
Successfully installed PyWavelets-1.4.1 absl-py-1.4.0 astunparse-1.6.3 cachetools-5.3.1 certifi-2023.5.7 charset-normalizer-3.2.0 gast-0.4.0 google-auth-2.22.0 google-auth-oauthlib-1.0.0 google-pasta-0.2.0 grpcio-1.56.0 h5py-3.9.0 imageio-2.31.1 keras-2.13.1 lazy_loader-0.3 lime-0.2.0.1 markdown-3.4.3 pyasn1-modules-0.3.0 requests-2.31.0 requests-oauthlib-1.3.1 rsa-4.9 scikit-image-0.21.0 tensorboard-2.13.0 tensorflow-2.13.0 tensorflow-intel-2.13.0 tifffile-2023.7.10
Note: you may need to restart the kernel to use updated packages.

WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'
WARNING: Skipping c:\Users\gvcer\Documents\Python\env\Lib\site-packages\pyparsing-3.1.0.dist-info due to invalid metadata entry 'name'

[notice] A new release of pip is available: 23.1.2 -> 23.2
[notice] To update, run: python.exe -m pip install --upgrade pip

import numpy as np
from keras.applications.vgg16 import VGG16, preprocess_input, decode_predictions
from keras.preprocessing import image
from lime import lime_image
from skimage.io import imread
import matplotlib.pyplot as plt

c:\Users\gvcer\Documents\Python\env\Lib\site-packages\tqdm\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
  from .autonotebook import tqdm as notebook_tqdm

model = VGG16(weights='imagenet', include_top=True)

Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels.h5
553467096/553467096 [==============================] - 20s 0us/step

def load_image(img_path):
    img = image.load_img(img_path, target_size=(224, 224))
    x = image.img_to_array(img)
    x = np.expand_dims(x, axis=0)
    x = preprocess_input(x)
    return x

img = load_image('cat100.jpg')

preds = model.predict(img)

1/1 [==============================] - 3s 3s/step
1/1 [==============================] - 3s 3s/step

explainer = lime_image.LimeImageExplainer()
explanation = explainer.explain_instance(img[0], model.predict, top_labels=5, hide_color=0, num_samples=1000)

  0%|          | 0/1000 [00:00<?, ?it/s]

1/1 [==============================] - 1s 1s/step

  1%|          | 10/1000 [00:01<01:49,  9.08it/s]

1/1 [==============================] - 1s 972ms/step

  2%|▏         | 20/1000 [00:02<01:47,  9.13it/s]

1/1 [==============================] - 1s 1s/step

  3%|▎         | 30/1000 [00:03<02:06,  7.67it/s]

1/1 [==============================] - 2s 2s/step

  4%|▍         | 40/1000 [00:05<02:29,  6.40it/s]

1/1 [==============================] - 2s 2s/step

from skimage.segmentation import mark_boundaries
temp, mask = explanation.get_image_and_mask(explanation.top_labels[0], positive_only=True, num_features=5, hide_rest=True)
plt.imshow(mark_boundaries(temp / 2 + 0.5, mask))

Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).

<matplotlib.image.AxesImage at 0x1b1ac2e5850>

print('Predicted:', decode_predictions(preds, top=3)[0])

Downloading data from https://storage.googleapis.com/download.tensorflow.org/data/imagenet_class_index.json
35363/35363 [==============================] - 0s 1us/step
Predicted: [('n02124075', 'Egyptian_cat', 0.38070077), ('n02123045', 'tabby', 0.28539503), ('n02123159', 'tiger_cat', 0.13022758)]