45 lines
1.6 KiB
TypeScript
45 lines
1.6 KiB
TypeScript
/**
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* Copyright 2023 The MediaPipe Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import {BoundingBox} from '../../../../tasks/web/components/containers/bounding_box';
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import {Category} from '../../../../tasks/web/components/containers/category';
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import {NormalizedKeypoint} from '../../../../tasks/web/components/containers/keypoint';
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/** Represents one detection by a detection task. */
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export declare interface Detection {
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/** A list of `Category` objects. */
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categories: Category[];
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/** The bounding box of the detected objects. */
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boundingBox?: BoundingBox;
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/**
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* List of keypoints associated with the detection. Keypoints represent
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* interesting points related to the detection. For example, the keypoints
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* represent the eye, ear and mouth from face detection model. Or in the
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* template matching detection, e.g. KNIFT, they can represent the feature
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* points for template matching. Contains an empty list if no keypoints are
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* detected.
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*/
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keypoints: NormalizedKeypoint[];
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}
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/** Detection results of a model. */
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export declare interface DetectionResult {
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/** A list of Detections. */
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detections: Detection[];
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}
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