(test_image, model_name: str = "resnet_v1")
| 88 | |
| 89 | |
| 90 | def load_image_np(test_image, model_name: str = "resnet_v1"): |
| 91 | # Image is loaded in NHWC format |
| 92 | image_np = np.asarray(PIL.Image.open(test_image).convert('RGB')) |
| 93 | image = tf.constant(image_np) |
| 94 | image = _aspect_preserving_resize(image, _RESIZE_MIN[model_name]) |
| 95 | image = _central_crop(image, _DEFAULT_IMAGE_SIZE[model_name], _DEFAULT_IMAGE_SIZE[model_name]) |
| 96 | image = preprocess_model_func(image, model_name) |
| 97 | return image |
| 98 | |
| 99 | |
| 100 | def get_filenames( |
no test coverage detected