import towhee

class Resnet50:
    def resnet50_extract_feat(self, img_path):
        feat = towhee.glob(img_path).image_decode().image_embedding.timm(model_name='resnet50').tensor_normalize().to_list()
        print(feat[0])
        return feat[0]

if __name__ == '__main__':
    print('This script is running as the main program.')
    #resnet =