def predictLabel(unpredictedImage, model, label, imageFormatIsNP):
print("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
print(type(unpredictedImage))
# https://stackoverflow.com/questions/22906394/numpy-ndarray-object-has-no-attribute-read
if imageFormatIsNP:
test_image = Image.fromarray(unpredictedImage).resize(size=(64, 64))
else:
test_image = image.load_img(unpredictedImage, target_size=(64, 64))
test_image = image.img_to_array(test_image)
test_image = np.expand_dims(test_image, axis=0)
result = model.predict(test_image)
print(result)
classIndex = np.argmax(result)
print("^&^&^&^&^&^^^^^^^^^^^^^^^^^&^&^&^&^&^&^&^&^&^&^&^&^&^&^&^&^&^&^&")
fr = open(label)
dic = eval(fr.read())
fr.close()
for key in dic:
if dic[key] == classIndex:
return key
return "null"
