Source code for datumaro.plugins.openvino_plugin.samples.clip_text_vit_l_14_336px_int8_interp

# Copyright (C) 2024 Intel Corporation
#
# SPDX-License-Identifier: MIT

from typing import List, Tuple

from datumaro.components.abstracts import IModelInterpreter
from datumaro.components.abstracts.model_interpreter import LauncherInputType, ModelPred, PrepInfo
from datumaro.components.annotation import Annotation, AnnotationType, LabelCategories
from datumaro.components.dataset_base import DatasetItem
from datumaro.components.errors import DatumaroError
from datumaro.components.media import Image
from datumaro.plugins.openvino_plugin.samples.utils import gen_hash_key


[docs] class ClipTextViTL14ModelInterpreter(IModelInterpreter):
[docs] def preprocess(self, inp: DatasetItem) -> Tuple[LauncherInputType, PrepInfo]: img = inp.media_as(Image).data return img, None
[docs] def postprocess(self, pred: ModelPred, info: PrepInfo) -> List[Annotation]: feature_vector = pred.get("output") if feature_vector is None: raise DatumaroError('"output" key should exist in the model prediction.') return [gen_hash_key(feature_vector)]
[docs] def get_categories(self): label_categories = LabelCategories() return {AnnotationType.label: label_categories}