ct-scan-Kidney/test.py

import tensorflow as tf
import numpy as np
import os



model =  tf.keras.models.load_model(os.path.join("model", "model.h5"))
print(model.name)

imagename = "Normal- (8).jpg"
test_image = tf.keras.preprocessing.image.load_img(imagename, target_size = (224,224))
test_image = tf.keras.preprocessing.image.img_to_array(test_image)
test_image = np.expand_dims(test_image, axis = 0)

result = np.argmax(model.predict(test_image), axis=1)
print(result)
print(f"type of result {type(result)}")

if result[0] == 1:
    print('Tumor')
           
else:
    print("normal")