image-embedding-operator-template/test_image_embedding_operator_template.py

from PIL import Image
from torchvision import transforms
from image_embedding_operator_template import ImageEmbeddingOperatorTemplate


def get_transformered_img(img_path):
    img = Image.open(img_path)
    tfms = transforms.Compose(
        [
            transforms.Resize(256),
            transforms.CenterCrop(224),
            transforms.ToTensor(),
            transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),
        ]
    )
    img_tensor = tfms(img).unsqueeze(0)
    return img_tensor

def test_image_embedding_operator(model_name='resnet50', img_path='./test_data/test.jpg', dimension=2048):
    op = ImageEmbeddingOperatorTemplate(model_name)
    img_tensor = get_transformered_img(img_path)
    embedding = op(img_tensor)
    assert (1, dimension)==embedding[0].shape