how to predict the ground truth image with weighted ensemble?

[farhanmarwat]

Dear Titu Brother,
thank you for the valuable source code that you have provided. Can you please guide me how to predict the ground truth image with weighted ensemble as given the predicted accuracy. I can not figuring out how to predict the ground truth images with weighted ensemble thanks in advance. for the reference of ground truth image prediction i have given the code below. please guide me thanks.
Regards

calculate the predicted image

outputs = np.zeros((height,width))
for i in range(height):
for j in range(width):
target = int(y[i,j])
if target == 0 :
continue
else :
image_patch=Patch(X,i,j)
X_test_image = image_patch.reshape(1,image_patch.shape[0],image_patch.shape[1], image_patch.shape[2], 1).astype('float32')
prediction = (yPred.predict(X_test_image))
prediction = np.argmax(prediction, axis=1)
outputs[i][j] = prediction+1