Commit b3ad2c32 authored by Gagandeep Singh's avatar Gagandeep Singh Committed by Alexander Alekhin
Browse files

Merge pull request #2341 from czgdp1807:issue-2277

Added constructors and destructors for RgbdPlane

* declared constructors and destructors of RgbdPlane

* definitions written

* tests for python bindings added
parent c5e0fa98
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+19 −0
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@@ -379,6 +379,25 @@ namespace rgbd
    {
    }

    /** Constructor
     * @param block_size The size of the blocks to look at for a stable MSE
     * @param min_size The minimum size of a cluster to be considered a plane
     * @param threshold The maximum distance of a point from a plane to belong to it (in meters)
     * @param sensor_error_a coefficient of the sensor error. 0 by default, 0.0075 for a Kinect
     * @param sensor_error_b coefficient of the sensor error. 0 by default
     * @param sensor_error_c coefficient of the sensor error. 0 by default
     * @param method The method to use to compute the planes.
     */
    RgbdPlane(int method, int block_size,
              int min_size, double threshold, double sensor_error_a = 0,
              double sensor_error_b = 0, double sensor_error_c = 0);

    ~RgbdPlane();

    CV_WRAP static Ptr<RgbdPlane> create(int method, int block_size, int min_size, double threshold,
                                         double sensor_error_a = 0, double sensor_error_b = 0,
                                         double sensor_error_c = 0);

    /** Find The planes in a depth image
     * @param points3d the 3d points organized like the depth image: rows x cols with 3 channels
     * @param normals the normals for every point in the depth image
+45 −0
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#!/usr/bin/env python

# Python 2/3 compatibility
from __future__ import print_function

import os, numpy

import cv2 as cv

from tests_common import NewOpenCVTests

class rgbd_test(NewOpenCVTests):

    def test_computeRgbdPlane(self):

        depth_image = self.get_sample('/cv/rgbd/depth.png', cv.IMREAD_ANYDEPTH)
        if depth_image is None:
            raise unittest.SkipTest("Missing files with test data")

        K = numpy.array([[525, 0, 320.5], [0, 525, 240.5], [0, 0, 1]])
        points3d = cv.rgbd.depthTo3d(depth_image, K)
        normals_computer = normals_computer = cv.rgbd.RgbdNormals_create(480, 640, 5, K)
        normals = normals_computer.apply(points3d)
        rgbd_plane = cv.rgbd.RgbdPlane_create(cv.rgbd.RgbdPlane_RGBD_PLANE_METHOD_DEFAULT, 40, 1600, 0.01, 0, 0, 0)
        _, planes_coeff = rgbd_plane.apply(points3d, normals)

        planes_coeff_expected = \
        numpy.asarray([[[-0.02447728, -0.8678335 , -0.49625182,  4.02800846]],
                        [[-0.05055107, -0.86144137, -0.50533485,  3.95456314]],
                        [[-0.03294908, -0.86964548, -0.49257591,  3.97052431]],
                        [[-0.02886586, -0.87153459, -0.48948362,  7.77550507]],
                        [[-0.04455929, -0.87659335, -0.47916424,  3.93200684]],
                        [[-0.21514639,  0.18835169, -0.95824611,  7.59479475]],
                        [[-0.01006953, -0.86679155, -0.49856904,  4.01355648]],
                        [[-0.00876531, -0.87571168, -0.48275498,  3.96768975]],
                        [[-0.06395926, -0.86951321, -0.48975089,  4.08618736]],
                        [[-0.01403128, -0.87593341, -0.48222789,  7.74559402]],
                        [[-0.01143177, -0.87495202, -0.4840748 ,  7.75355816]]],
                        dtype=numpy.float32)

        eps = 0.05
        self.assertLessEqual(cv.norm(planes_coeff, planes_coeff_expected, cv.NORM_L2), eps)

if __name__ == '__main__':
    NewOpenCVTests.bootstrap()
+22 −0
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@@ -1009,6 +1009,28 @@ Ptr<DepthCleaner> DepthCleaner::create(int depth_in, int window_size_in, int met
  return makePtr<DepthCleaner>(depth_in, window_size_in, method_in);
}

RgbdPlane::RgbdPlane(int method, int block_size,
                     int min_size, double threshold, double sensor_error_a,
                     double sensor_error_b, double sensor_error_c) :
                     method_(method),
                     block_size_(block_size),
                     min_size_(min_size),
                     threshold_(threshold),
                     sensor_error_a_(sensor_error_a),
                     sensor_error_b_(sensor_error_b),
                     sensor_error_c_(sensor_error_c)
{}

Ptr<RgbdPlane> RgbdPlane::create(int method, int block_size, int min_size, double threshold,
                                 double sensor_error_a, double sensor_error_b,
                                 double sensor_error_c ) {
    return makePtr<RgbdPlane>(method, block_size, min_size, threshold,
                              sensor_error_a, sensor_error_b, sensor_error_c);
}

RgbdPlane::~RgbdPlane()
{}

RgbdFrame::RgbdFrame() : ID(-1)
{}