def download(images):
for i in range(len(images)):
r = requests.get(images[i], allow_redirects=True)
open('test_image_'+ str(i) +'.jpg', 'wb').write(r.content)
def test(image_path):
test_image = cv2.imread(image_path)
test_image = cv2.resize(test_image, (224, 224))
plt.figure()
plt.imshow(test_image)
test_image = test_image[np.newaxis, :]
test_image = tf.cast(test_image, tf.float32)
predicted_value = model.predict_classes(test_image)
plt.axis('off')
plt.title(classes[predicted_value[0]])
images = ["https://images.unsplash.com/photo-1546768292-fb12f6c92568?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=750&q=80",
"https://images.unsplash.com/photo-1555041469-a586c61ea9bc?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=750&q=80"]
download(images)
test("test_image_0.jpg")
test("test_image_1.jpg")