@techstark/opencv-js/dist/src/types/opencv/FlannBasedMatcher.d.ts

OpenCV JavaScript version for node.js or browser

import type { bool, DescriptorMatcher, FileNode, FileStorage, InputArrayOfArrays, Ptr } from "./_types";
/**
 * This matcher trains [cv::flann::Index](#d1/db2/classcv_1_1flann_1_1Index}) on a train descriptor
 * collection and calls its nearest search methods to find the best matches. So, this matcher may be
 * faster when matching a large train collection than the brute force matcher.
 * [FlannBasedMatcher](#dc/de2/classcv_1_1FlannBasedMatcher}) does not support masking permissible
 * matches of descriptor sets because [flann::Index](#d1/db2/classcv_1_1flann_1_1Index}) does not
 * support this. :
 *
 * Source:
 * [opencv2/features2d.hpp](https://github.com/opencv/opencv/tree/master/modules/core/include/opencv2/features2d.hpp#L1187).
 *
 */
export declare class FlannBasedMatcher extends DescriptorMatcher {
    constructor(indexParams?: Ptr, searchParams?: Ptr);
    /**
     *   If the collection is not empty, the new descriptors are added to existing train descriptors.
     *
     * @param descriptors Descriptors to add. Each descriptors[i] is a set of descriptors from the same
     * train image.
     */
    add(descriptors: InputArrayOfArrays): InputArrayOfArrays;
    clear(): void;
    /**
     * @param emptyTrainData If emptyTrainData is false, the method creates a deep copy of the object,
     * that is, copies both parameters and train data. If emptyTrainData is true, the method creates an
     * object copy with the current parameters but with empty train data.
     */
    clone(emptyTrainData?: bool): Ptr;
    isMaskSupported(): bool;
    read(fn: FileNode): FileNode;
    /**
     *   Trains a descriptor matcher (for example, the flann index). In all methods to match, the method
     * [train()] is run every time before matching. Some descriptor matchers (for example,
     * BruteForceMatcher) have an empty implementation of this method. Other matchers really train their
     * inner structures (for example, [FlannBasedMatcher] trains [flann::Index] ).
     */
    train(): void;
    write(fs: FileStorage): FileStorage;
    static create(): Ptr;
}