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The visualization Keras model results

Time:12-04

Want to achieve data set through semantic segmentation results show pictures and save function after,
Data, label=load_imgs_flask (path=url_flask [" path "])
X_test=np. Concatenate ([data [I] for I in range (len (data))])
Y_test=np. Concatenate ([label [I] for I in range (len (label)])
The model=load_model (' model. The h5, custom_objects={' loss: loss, 'dice_coef: dice_coef})
# plot_model (model, to_file='model. The PNG', show_shapes=True)
The acc=model. The evaluate (x_test y_test, batch_size=32, verbose=1)
Print (acc)
How to through the validation output
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