using OpenCVForUnity.CoreModule;
using OpenCVForUnity.UtilsModule;
using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;

namespace OpenCVForUnity.Features2dModule
{
    // C++: class BOWImgDescriptorExtractor
    /**
     * Class to compute an image descriptor using the *bag of visual words*.
     *
     * Such a computation consists of the following steps:
     *
     * 1.  Compute descriptors for a given image and its keypoints set.
     * 2.  Find the nearest visual words from the vocabulary for each keypoint descriptor.
     * 3.  Compute the bag-of-words image descriptor as is a normalized histogram of vocabulary words
     * encountered in the image. The i-th bin of the histogram is a frequency of i-th word of the
     * vocabulary in the given image.
     */

    public class BOWImgDescriptorExtractor : DisposableOpenCVObject
    {

        protected override void Dispose(bool disposing)
        {

            try
            {
                if (disposing)
                {
                }
                if (IsEnabledDispose)
                {
                    if (nativeObj != IntPtr.Zero)
                        features2d_BOWImgDescriptorExtractor_delete(nativeObj);
                    nativeObj = IntPtr.Zero;
                }
            }
            finally
            {
                base.Dispose(disposing);
            }

        }

        protected internal BOWImgDescriptorExtractor(IntPtr addr) : base(addr) { }


        public IntPtr getNativeObjAddr() { return nativeObj; }

        // internal usage only
        public static BOWImgDescriptorExtractor __fromPtr__(IntPtr addr) { return new BOWImgDescriptorExtractor(addr); }

        //
        // C++:   cv::BOWImgDescriptorExtractor::BOWImgDescriptorExtractor(Ptr_DescriptorExtractor dextractor, Ptr_DescriptorMatcher dmatcher)
        //

        // Unknown type 'Ptr_DescriptorExtractor' (I), skipping the function


        //
        // C++:  void cv::BOWImgDescriptorExtractor::setVocabulary(Mat vocabulary)
        //

        /**
         * Sets a visual vocabulary.
         *
         *     param vocabulary Vocabulary (can be trained using the inheritor of BOWTrainer ). Each row of the
         *     vocabulary is a visual word (cluster center).
         */
        public void setVocabulary(Mat vocabulary)
        {
            ThrowIfDisposed();
            if (vocabulary != null) vocabulary.ThrowIfDisposed();

            features2d_BOWImgDescriptorExtractor_setVocabulary_10(nativeObj, vocabulary.nativeObj);


        }


        //
        // C++:  Mat cv::BOWImgDescriptorExtractor::getVocabulary()
        //

        /**
         * Returns the set vocabulary.
         * return automatically generated
         */
        public Mat getVocabulary()
        {
            ThrowIfDisposed();

            return new Mat(DisposableObject.ThrowIfNullIntPtr(features2d_BOWImgDescriptorExtractor_getVocabulary_10(nativeObj)));


        }


        //
        // C++:  void cv::BOWImgDescriptorExtractor::compute2(Mat image, vector_KeyPoint keypoints, Mat& imgDescriptor)
        //

        /**
         *
         *     param imgDescriptor Computed output image descriptor.
         *     pointIdxsOfClusters[i] are keypoint indices that belong to the i -th cluster (word of vocabulary)
         *     returned if it is non-zero.
         * param image automatically generated
         * param keypoints automatically generated
         */
        public void compute(Mat image, MatOfKeyPoint keypoints, Mat imgDescriptor)
        {
            ThrowIfDisposed();
            if (image != null) image.ThrowIfDisposed();
            if (keypoints != null) keypoints.ThrowIfDisposed();
            if (imgDescriptor != null) imgDescriptor.ThrowIfDisposed();
            Mat keypoints_mat = keypoints;
            features2d_BOWImgDescriptorExtractor_compute_10(nativeObj, image.nativeObj, keypoints_mat.nativeObj, imgDescriptor.nativeObj);


        }


        //
        // C++:  int cv::BOWImgDescriptorExtractor::descriptorSize()
        //

        /**
         * Returns an image descriptor size if the vocabulary is set. Otherwise, it returns 0.
         * return automatically generated
         */
        public int descriptorSize()
        {
            ThrowIfDisposed();

            return features2d_BOWImgDescriptorExtractor_descriptorSize_10(nativeObj);


        }


        //
        // C++:  int cv::BOWImgDescriptorExtractor::descriptorType()
        //

        /**
         * Returns an image descriptor type.
         * return automatically generated
         */
        public int descriptorType()
        {
            ThrowIfDisposed();

            return features2d_BOWImgDescriptorExtractor_descriptorType_10(nativeObj);


        }


#if (UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR
        const string LIBNAME = "__Internal";
#else
        const string LIBNAME = "opencvforunity";
#endif



        // C++:  void cv::BOWImgDescriptorExtractor::setVocabulary(Mat vocabulary)
        [DllImport(LIBNAME)]
        private static extern void features2d_BOWImgDescriptorExtractor_setVocabulary_10(IntPtr nativeObj, IntPtr vocabulary_nativeObj);

        // C++:  Mat cv::BOWImgDescriptorExtractor::getVocabulary()
        [DllImport(LIBNAME)]
        private static extern IntPtr features2d_BOWImgDescriptorExtractor_getVocabulary_10(IntPtr nativeObj);

        // C++:  void cv::BOWImgDescriptorExtractor::compute2(Mat image, vector_KeyPoint keypoints, Mat& imgDescriptor)
        [DllImport(LIBNAME)]
        private static extern void features2d_BOWImgDescriptorExtractor_compute_10(IntPtr nativeObj, IntPtr image_nativeObj, IntPtr keypoints_mat_nativeObj, IntPtr imgDescriptor_nativeObj);

        // C++:  int cv::BOWImgDescriptorExtractor::descriptorSize()
        [DllImport(LIBNAME)]
        private static extern int features2d_BOWImgDescriptorExtractor_descriptorSize_10(IntPtr nativeObj);

        // C++:  int cv::BOWImgDescriptorExtractor::descriptorType()
        [DllImport(LIBNAME)]
        private static extern int features2d_BOWImgDescriptorExtractor_descriptorType_10(IntPtr nativeObj);

        // native support for java finalize()
        [DllImport(LIBNAME)]
        private static extern void features2d_BOWImgDescriptorExtractor_delete(IntPtr nativeObj);

    }
}