mjms commited on
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a87cb4f
1 Parent(s): 012601f

Update app.py

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Files changed (1) hide show
  1. app.py +1 -19
app.py CHANGED
@@ -1,30 +1,13 @@
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  # This was made by following this tutorial
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  # https://www.youtube.com/watch?v=i40ulpcacFM
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- !pip install -U -q segmentation-models
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- # # Open the file in write mode
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- # with open('/usr/local/lib/python3.9/dist-packages/efficientnet/keras.py', 'r') as f:
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- # # Read the contents of the file
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- # contents = f.read()
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-
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- # # Replace the string
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- # new_contents = contents.replace('init_keras_custom_objects', 'init_tfkeras_custom_objects')
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-
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- # # Open the file in write mode again and write the modified contents
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- # with open('/usr/local/lib/python3.9/dist-packages/efficientnet/keras.py', 'w') as f:
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- # f.write(new_contents)
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-
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- !pip install patchify
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- !pip install gradio
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-
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  import os
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  from os.path import join as pjoin
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  import cv2
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  import numpy as np
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  from tqdm import tqdm
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- from matplotlib import pyplot as plt
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  from PIL import Image
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- import seaborn as sns
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  from sklearn.preprocessing import MinMaxScaler, StandardScaler
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  from patchify import patchify, unpatchify
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@@ -33,7 +16,6 @@ from keras.models import load_model
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  import segmentation_models as sm
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-
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  import gradio as gr
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  def jaccard_coef(y_true, y_pred):
 
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  # This was made by following this tutorial
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  # https://www.youtube.com/watch?v=i40ulpcacFM
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  import os
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  from os.path import join as pjoin
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  import cv2
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  import numpy as np
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  from tqdm import tqdm
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+
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  from PIL import Image
 
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  from sklearn.preprocessing import MinMaxScaler, StandardScaler
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  from patchify import patchify, unpatchify
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  import segmentation_models as sm
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  import gradio as gr
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  def jaccard_coef(y_true, y_pred):