import cv2
import numpy as np
test_image = cv2.imread(r'C:UsersShahinur ShakibDownloadsspyder2Datasetstest_setDogelephant.jpg')

test_image=cv2.cvtColor(test_image, cv2.COLOR_BGR2GRAY)
test_image=cv2.resize(test_image,(200,200))
test_image = np.array(test_image)
test_image = test_image.astype('float32')
test_image /= 255
print (test_image.shape)

if img_channels==1:
    if K.image_dim_ordering()=='th':
        test_image= np.expand_dims(test_image, axis=0)
        test_image= np.expand_dims(test_image, axis=0)
        print (test_image.shape)
    else:
        test_image= np.expand_dims(test_image, axis=3)
        test_image= np.expand_dims(test_image, axis=0)
        print (test_image.shape)
else:
    if K.image_dim_ordering()=='th':
        test_image=np.rollaxis(test_image,2,0)
        test_image= np.expand_dims(test_image, axis=0)
        print (test_image.shape)
    else:
        test_image= np.expand_dims(test_image, axis=0)
        print (test_image.shape)

print((model.predict(test_image)))
print(model.predict_classes(test_image))
result=model.predict_classes(test_image)
if(result==0):
    print("Cat")
elif(result==1):
    print("Dog")
elif(result==2):
    print("Elephant")
elif(result==3):
    print("Hen")
elif(result==4):
    print("Horse")