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I am getting the above problem while writing my code on original and tampered images. help me for the same.

    img=image.load_img(dir_path+'//'+ i, target_size=(200,200))
    plt.imshow(img)
    plt.show()

    X=image.img_to_array(img)
    X=np.expand_dims(X,axis=0)
    images=np.vstack([X])
   
    val=model.predict(images) 
    if val == 0:
        print("original")
    else:
        print("tampered")````

this is my code. 

0 Answers0