653 строки
23 KiB
C++
653 строки
23 KiB
C++
// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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#include <stdio.h>
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#include <fstream>
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#include <sstream>
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#include <vector>
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#include <algorithm>
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#include <k4a/k4a.h>
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#include <math.h>
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using namespace std;
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#ifdef __linux__
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int _stricmp(const char *a, const char *b) {
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int ca, cb;
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do {
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ca = (unsigned char) *a++;
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cb = (unsigned char) *b++;
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ca = tolower(toupper(ca));
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cb = tolower(toupper(cb));
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} while (ca == cb && ca != '\0');
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return ca - cb;
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}
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#endif
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// Enable HAVE_OPENCV macro after you installed opencv and opencv contrib modules (kinfu, viz), please refer to README.md
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// #define HAVE_OPENCV
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#ifdef HAVE_OPENCV
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#include <opencv2/core.hpp>
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#include <opencv2/calib3d.hpp>
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#include <opencv2/opencv.hpp>
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#include <opencv2/rgbd.hpp>
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#include <opencv2/viz.hpp>
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using namespace cv;
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#endif
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#ifdef HAVE_OPENCV
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void initialize_kinfu_params(kinfu::Params ¶ms,
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const int width,
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const int height,
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const float fx,
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const float fy,
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const float cx,
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const float cy)
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{
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const Matx33f camera_matrix = Matx33f(fx, 0.0f, cx, 0.0f, fy, cy, 0.0f, 0.0f, 1.0f);
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params.frameSize = Size(width, height);
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params.intr = camera_matrix;
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params.depthFactor = 1000.0f;
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}
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template<typename T> Mat create_mat_from_buffer(T *data, int width, int height, int channels = 1)
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{
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Mat mat(height, width, CV_MAKETYPE(DataType<T>::type, channels));
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memcpy(mat.data, data, width * height * channels * sizeof(T));
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return mat;
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}
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#endif
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#define INVALID INT32_MIN
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typedef struct _pinhole_t
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{
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float px;
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float py;
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float fx;
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float fy;
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int width;
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int height;
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} pinhole_t;
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typedef struct _coordinate_t
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{
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int x;
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int y;
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float weight[4];
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} coordinate_t;
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typedef enum
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{
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INTERPOLATION_NEARESTNEIGHBOR, /**< Nearest neighbor interpolation */
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INTERPOLATION_BILINEAR, /**< Bilinear interpolation */
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INTERPOLATION_BILINEAR_DEPTH /**< Bilinear interpolation with invalidation when neighbor contain invalid
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data with value 0 */
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} interpolation_t;
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// Compute a conservative bounding box on the unit plane in which all the points have valid projections
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static void compute_xy_range(const k4a_calibration_t* calibration,
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const k4a_calibration_type_t camera,
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const int width,
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const int height,
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float& x_min,
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float& x_max,
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float& y_min,
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float& y_max)
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{
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// Step outward from the centre point until we find the bounds of valid projection
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const float step_u = 0.25f;
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const float step_v = 0.25f;
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const float min_u = 0;
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const float min_v = 0;
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const float max_u = (float)width - 1;
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const float max_v = (float)height - 1;
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const float center_u = 0.5f * width;
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const float center_v = 0.5f * height;
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int valid;
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k4a_float2_t p;
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k4a_float3_t ray;
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// search x_min
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for (float uv[2] = { center_u, center_v }; uv[0] >= min_u; uv[0] -= step_u)
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{
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p.xy.x = uv[0];
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p.xy.y = uv[1];
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k4a_calibration_2d_to_3d(calibration, &p, 1.f, camera, camera, &ray, &valid);
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if (!valid)
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{
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break;
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}
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x_min = ray.xyz.x;
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}
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// search x_max
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for (float uv[2] = { center_u, center_v }; uv[0] <= max_u; uv[0] += step_u)
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{
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p.xy.x = uv[0];
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p.xy.y = uv[1];
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k4a_calibration_2d_to_3d(calibration, &p, 1.f, camera, camera, &ray, &valid);
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if (!valid)
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{
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break;
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}
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x_max = ray.xyz.x;
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}
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// search y_min
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for (float uv[2] = { center_u, center_v }; uv[1] >= min_v; uv[1] -= step_v)
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{
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p.xy.x = uv[0];
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p.xy.y = uv[1];
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k4a_calibration_2d_to_3d(calibration, &p, 1.f, camera, camera, &ray, &valid);
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if (!valid)
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{
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break;
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}
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y_min = ray.xyz.y;
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}
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// search y_max
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for (float uv[2] = { center_u, center_v }; uv[1] <= max_v; uv[1] += step_v)
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{
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p.xy.x = uv[0];
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p.xy.y = uv[1];
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k4a_calibration_2d_to_3d(calibration, &p, 1.f, camera, camera, &ray, &valid);
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if (!valid)
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{
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break;
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}
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y_max = ray.xyz.y;
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}
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}
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static pinhole_t create_pinhole_from_xy_range(const k4a_calibration_t* calibration, const k4a_calibration_type_t camera)
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{
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int width = calibration->depth_camera_calibration.resolution_width;
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int height = calibration->depth_camera_calibration.resolution_height;
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if (camera == K4A_CALIBRATION_TYPE_COLOR)
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{
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width = calibration->color_camera_calibration.resolution_width;
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height = calibration->color_camera_calibration.resolution_height;
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}
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float x_min = 0, x_max = 0, y_min = 0, y_max = 0;
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compute_xy_range(calibration, camera, width, height, x_min, x_max, y_min, y_max);
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pinhole_t pinhole;
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float fx = 1.f / (x_max - x_min);
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float fy = 1.f / (y_max - y_min);
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float px = -x_min * fx;
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float py = -y_min * fy;
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pinhole.fx = fx * width;
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pinhole.fy = fy * height;
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pinhole.px = px * width;
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pinhole.py = py * height;
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pinhole.width = width;
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pinhole.height = height;
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return pinhole;
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}
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static void create_undistortion_lut(const k4a_calibration_t* calibration,
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const k4a_calibration_type_t camera,
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const pinhole_t* pinhole,
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k4a_image_t lut,
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interpolation_t type)
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{
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coordinate_t* lut_data = (coordinate_t*)(void*)k4a_image_get_buffer(lut);
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k4a_float3_t ray;
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ray.xyz.z = 1.f;
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int src_width = calibration->depth_camera_calibration.resolution_width;
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int src_height = calibration->depth_camera_calibration.resolution_height;
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if (camera == K4A_CALIBRATION_TYPE_COLOR)
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{
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src_width = calibration->color_camera_calibration.resolution_width;
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src_height = calibration->color_camera_calibration.resolution_height;
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}
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for (int y = 0, idx = 0; y < pinhole->height; y++)
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{
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ray.xyz.y = ((float)y - pinhole->py) / pinhole->fy;
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for (int x = 0; x < pinhole->width; x++, idx++)
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{
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ray.xyz.x = ((float)x - pinhole->px) / pinhole->fx;
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k4a_float2_t distorted;
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int valid;
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k4a_calibration_3d_to_2d(calibration, &ray, camera, camera, &distorted, &valid);
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coordinate_t src;
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if (type == INTERPOLATION_NEARESTNEIGHBOR)
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{
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// Remapping via nearest neighbor interpolation
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src.x = (int)floorf(distorted.xy.x + 0.5f);
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src.y = (int)floorf(distorted.xy.y + 0.5f);
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}
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else if (type == INTERPOLATION_BILINEAR || type == INTERPOLATION_BILINEAR_DEPTH)
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{
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// Remapping via bilinear interpolation
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src.x = (int)floorf(distorted.xy.x);
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src.y = (int)floorf(distorted.xy.y);
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}
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else
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{
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printf("Unexpected interpolation type!\n");
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exit(-1);
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}
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if (valid && src.x >= 0 && src.x < src_width && src.y >= 0 && src.y < src_height)
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{
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lut_data[idx] = src;
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if (type == INTERPOLATION_BILINEAR || type == INTERPOLATION_BILINEAR_DEPTH)
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{
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// Compute the floating point weights, using the distance from projected point src to the
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// image coordinate of the upper left neighbor
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float w_x = distorted.xy.x - src.x;
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float w_y = distorted.xy.y - src.y;
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float w0 = (1.f - w_x) * (1.f - w_y);
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float w1 = w_x * (1.f - w_y);
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float w2 = (1.f - w_x) * w_y;
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float w3 = w_x * w_y;
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// Fill into lut
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lut_data[idx].weight[0] = w0;
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lut_data[idx].weight[1] = w1;
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lut_data[idx].weight[2] = w2;
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lut_data[idx].weight[3] = w3;
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}
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}
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else
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{
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lut_data[idx].x = INVALID;
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lut_data[idx].y = INVALID;
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}
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}
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}
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}
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static void remap(const k4a_image_t src, const k4a_image_t lut, k4a_image_t dst, interpolation_t type)
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{
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int src_width = k4a_image_get_width_pixels(src);
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int dst_width = k4a_image_get_width_pixels(dst);
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int dst_height = k4a_image_get_height_pixels(dst);
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uint16_t* src_data = (uint16_t*)(void*)k4a_image_get_buffer(src);
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uint16_t* dst_data = (uint16_t*)(void*)k4a_image_get_buffer(dst);
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coordinate_t* lut_data = (coordinate_t*)(void*)k4a_image_get_buffer(lut);
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memset(dst_data, 0, (size_t)dst_width * (size_t)dst_height * sizeof(uint16_t));
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for (int i = 0; i < dst_width * dst_height; i++)
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{
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if (lut_data[i].x != INVALID && lut_data[i].y != INVALID)
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{
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if (type == INTERPOLATION_NEARESTNEIGHBOR)
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{
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dst_data[i] = src_data[lut_data[i].y * src_width + lut_data[i].x];
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}
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else if (type == INTERPOLATION_BILINEAR || type == INTERPOLATION_BILINEAR_DEPTH)
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{
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const uint16_t neighbors[4]{ src_data[lut_data[i].y * src_width + lut_data[i].x],
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src_data[lut_data[i].y * src_width + lut_data[i].x + 1],
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src_data[(lut_data[i].y + 1) * src_width + lut_data[i].x],
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src_data[(lut_data[i].y + 1) * src_width + lut_data[i].x + 1] };
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// If the image contains invalid data, e.g. depth image contains value 0, ignore the bilinear
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// interpolation for current target pixel if one of the neighbors contains invalid data to avoid
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// introduce noise on the edge. If the image is color or ir images, user should use
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// INTERPOLATION_BILINEAR
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if (type == INTERPOLATION_BILINEAR_DEPTH)
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{
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// If the image contains invalid data, e.g. depth image contains value 0, ignore the bilinear
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// interpolation for current target pixel if one of the neighbors contains invalid data to avoid
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// introduce noise on the edge. If the image is color or ir images, user should use
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// INTERPOLATION_BILINEAR
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if (neighbors[0] == 0 || neighbors[1] == 0 || neighbors[2] == 0 || neighbors[3] == 0)
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{
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continue;
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}
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// Ignore interpolation at large depth discontinuity without disrupting slanted surface
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// Skip interpolation threshold is estimated based on the following logic:
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// - angle between two pixels is: theta = 0.234375 degree (120 degree / 512) in binning resolution
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// mode
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// - distance between two pixels at same depth approximately is: A ~= sin(theta) * depth
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// - distance between two pixels at highly slanted surface (e.g. alpha = 85 degree) is: B = A /
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// cos(alpha)
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// - skip_interpolation_ratio ~= sin(theta) / cos(alpha)
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// We use B as the threshold that to skip interpolation if the depth difference in the triangle is
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// larger than B. This is a conservative threshold to estimate largest distance on a highly slanted
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// surface at given depth, in reality, given distortion, distance, resolution difference, B can be
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// smaller
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const float skip_interpolation_ratio = 0.04693441759f;
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float depth_min = min(min(neighbors[0], neighbors[1]), min(neighbors[2], neighbors[3]));
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float depth_max = max(max(neighbors[0], neighbors[1]), max(neighbors[2], neighbors[3]));
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float depth_delta = depth_max - depth_min;
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float skip_interpolation_threshold = skip_interpolation_ratio * depth_min;
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if (depth_delta > skip_interpolation_threshold)
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{
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continue;
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}
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}
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dst_data[i] = (uint16_t)(neighbors[0] * lut_data[i].weight[0] + neighbors[1] * lut_data[i].weight[1] +
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neighbors[2] * lut_data[i].weight[2] + neighbors[3] * lut_data[i].weight[3] +
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0.5f);
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}
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else
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{
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printf("Unexpected interpolation type!\n");
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exit(-1);
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}
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}
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}
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}
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void PrintUsage()
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{
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printf("Usage: kinfu_example.exe [Optional]<Mode>\n");
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printf(" Mode: nfov_unbinned(default), wfov_2x2binned, wfov_unbinned, nfov_2x2binned\n");
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printf(" Keys: q - Quit\n");
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printf(" r - Reset KinFu\n");
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printf(" v - Enable Viz Render Cloud (default is OFF, enable it will slow down frame rate)\n");
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printf(" w - Write out the kf_output.ply point cloud file in the running folder\n");
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printf(" * Please ensure to uncomment HAVE_OPENCV pound define to enable the opencv code that runs kinfu\n");
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printf(" * Please ensure to copy opencv/opencv_contrib/vtk dlls to the running folder\n\n");
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}
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int main(int argc, char** argv)
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{
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PrintUsage();
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k4a_device_t device = NULL;
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if (argc > 2)
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{
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printf("Please read the Usage\n");
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return 2;
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}
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// Configure the depth mode and fps
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k4a_device_configuration_t config = K4A_DEVICE_CONFIG_INIT_DISABLE_ALL;
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config.depth_mode = K4A_DEPTH_MODE_NFOV_UNBINNED;
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config.camera_fps = K4A_FRAMES_PER_SECOND_30;
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if (argc == 2)
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{
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if (!_stricmp(argv[1], "nfov_unbinned"))
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{
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config.depth_mode = K4A_DEPTH_MODE_NFOV_UNBINNED;
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}
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else if (!_stricmp(argv[1], "wfov_2x2binned"))
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{
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config.depth_mode = K4A_DEPTH_MODE_WFOV_2X2BINNED;
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}
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else if (!_stricmp(argv[1], "wfov_unbinned"))
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{
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config.depth_mode = K4A_DEPTH_MODE_WFOV_UNBINNED;
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config.camera_fps = K4A_FRAMES_PER_SECOND_15;
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}
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else if (!_stricmp(argv[1], "nfov_2x2binned"))
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{
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config.depth_mode = K4A_DEPTH_MODE_NFOV_2X2BINNED;
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}
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else if (!_stricmp(argv[1], "/?"))
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{
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return 0;
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}
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else
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{
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printf("Depth mode not supported!\n");
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return 1;
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}
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}
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uint32_t device_count = k4a_device_get_installed_count();
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if (device_count == 0)
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{
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printf("No K4A devices found\n");
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return 1;
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}
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if (K4A_RESULT_SUCCEEDED != k4a_device_open(K4A_DEVICE_DEFAULT, &device))
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{
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printf("Failed to open device\n");
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k4a_device_close(device);
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return 1;
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}
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// Retrive calibration
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k4a_calibration_t calibration;
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if (K4A_RESULT_SUCCEEDED !=
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k4a_device_get_calibration(device, config.depth_mode, config.color_resolution, &calibration))
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{
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printf("Failed to get calibration\n");
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k4a_device_close(device);
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return 1;
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}
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// Start cameras
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if (K4A_RESULT_SUCCEEDED != k4a_device_start_cameras(device, &config))
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{
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printf("Failed to start device\n");
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k4a_device_close(device);
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return 1;
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}
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// Generate a pinhole model for depth camera
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pinhole_t pinhole = create_pinhole_from_xy_range(&calibration, K4A_CALIBRATION_TYPE_DEPTH);
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interpolation_t interpolation_type = INTERPOLATION_BILINEAR_DEPTH;
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#ifdef HAVE_OPENCV
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setUseOptimized(true);
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// Retrieve calibration parameters
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k4a_calibration_intrinsic_parameters_t *intrinsics = &calibration.depth_camera_calibration.intrinsics.parameters;
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const int width = calibration.depth_camera_calibration.resolution_width;
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const int height = calibration.depth_camera_calibration.resolution_height;
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// Initialize kinfu parameters
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Ptr<kinfu::Params> params;
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params = kinfu::Params::defaultParams();
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initialize_kinfu_params(
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*params, width, height, pinhole.fx, pinhole.fy, pinhole.px, pinhole.py);
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// Distortion coefficients
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Matx<float, 1, 8> distCoeffs;
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distCoeffs(0) = intrinsics->param.k1;
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distCoeffs(1) = intrinsics->param.k2;
|
|
distCoeffs(2) = intrinsics->param.p1;
|
|
distCoeffs(3) = intrinsics->param.p2;
|
|
distCoeffs(4) = intrinsics->param.k3;
|
|
distCoeffs(5) = intrinsics->param.k4;
|
|
distCoeffs(6) = intrinsics->param.k5;
|
|
distCoeffs(7) = intrinsics->param.k6;
|
|
|
|
k4a_image_t lut = NULL;
|
|
k4a_image_create(K4A_IMAGE_FORMAT_CUSTOM,
|
|
pinhole.width,
|
|
pinhole.height,
|
|
pinhole.width * (int)sizeof(coordinate_t),
|
|
&lut);
|
|
|
|
create_undistortion_lut(&calibration, K4A_CALIBRATION_TYPE_DEPTH, &pinhole, lut, interpolation_type);
|
|
|
|
// Create KinectFusion module instance
|
|
Ptr<kinfu::KinFu> kf;
|
|
kf = kinfu::KinFu::create(params);
|
|
namedWindow("AzureKinect KinectFusion Example");
|
|
viz::Viz3d visualization("AzureKinect KinectFusion Example");
|
|
|
|
bool stop = false;
|
|
bool renderViz = false;
|
|
k4a_capture_t capture = NULL;
|
|
k4a_image_t depth_image = NULL;
|
|
k4a_image_t undistorted_depth_image = NULL;
|
|
const int32_t TIMEOUT_IN_MS = 1000;
|
|
while (!stop && !visualization.wasStopped())
|
|
{
|
|
// Get a depth frame
|
|
switch (k4a_device_get_capture(device, &capture, TIMEOUT_IN_MS))
|
|
{
|
|
case K4A_WAIT_RESULT_SUCCEEDED:
|
|
break;
|
|
case K4A_WAIT_RESULT_TIMEOUT:
|
|
printf("Timed out waiting for a capture\n");
|
|
continue;
|
|
break;
|
|
case K4A_WAIT_RESULT_FAILED:
|
|
printf("Failed to read a capture\n");
|
|
k4a_device_close(device);
|
|
return 1;
|
|
}
|
|
|
|
// Retrieve depth image
|
|
depth_image = k4a_capture_get_depth_image(capture);
|
|
if (depth_image == NULL)
|
|
{
|
|
printf("Depth16 None\n");
|
|
k4a_capture_release(capture);
|
|
continue;
|
|
}
|
|
|
|
k4a_image_create(K4A_IMAGE_FORMAT_DEPTH16,
|
|
pinhole.width,
|
|
pinhole.height,
|
|
pinhole.width * (int)sizeof(uint16_t),
|
|
&undistorted_depth_image);
|
|
remap(depth_image, lut, undistorted_depth_image, interpolation_type);
|
|
|
|
// Create frame from depth buffer
|
|
uint8_t *buffer = k4a_image_get_buffer(undistorted_depth_image);
|
|
uint16_t *depth_buffer = reinterpret_cast<uint16_t *>(buffer);
|
|
UMat undistortedFrame;
|
|
create_mat_from_buffer<uint16_t>(depth_buffer, width, height).copyTo(undistortedFrame);
|
|
|
|
if (undistortedFrame.empty())
|
|
{
|
|
k4a_image_release(depth_image);
|
|
k4a_image_release(undistorted_depth_image);
|
|
k4a_capture_release(capture);
|
|
continue;
|
|
}
|
|
|
|
// Update KinectFusion
|
|
if (!kf->update(undistortedFrame))
|
|
{
|
|
printf("Reset KinectFusion\n");
|
|
kf->reset();
|
|
k4a_image_release(depth_image);
|
|
k4a_image_release(undistorted_depth_image);
|
|
k4a_capture_release(capture);
|
|
continue;
|
|
}
|
|
|
|
// Retrieve rendered TSDF
|
|
UMat tsdfRender;
|
|
kf->render(tsdfRender);
|
|
|
|
// Retrieve fused point cloud and normals
|
|
UMat points;
|
|
UMat normals;
|
|
kf->getCloud(points, normals);
|
|
|
|
// Show TSDF rendering
|
|
imshow("AzureKinect KinectFusion Example", tsdfRender);
|
|
|
|
// Show fused point cloud and normals
|
|
if (!points.empty() && !normals.empty() && renderViz)
|
|
{
|
|
viz::WCloud cloud(points, viz::Color::white());
|
|
viz::WCloudNormals cloudNormals(points, normals, 1, 0.01, viz::Color::cyan());
|
|
visualization.showWidget("cloud", cloud);
|
|
visualization.showWidget("normals", cloudNormals);
|
|
visualization.showWidget("worldAxes", viz::WCoordinateSystem());
|
|
Vec3d volSize = kf->getParams().voxelSize * kf->getParams().volumeDims;
|
|
visualization.showWidget("cube", viz::WCube(Vec3d::all(0), volSize), kf->getParams().volumePose);
|
|
visualization.spinOnce(1, true);
|
|
}
|
|
|
|
// Key controls
|
|
const int32_t key = waitKey(5);
|
|
if (key == 'r')
|
|
{
|
|
printf("Reset KinectFusion\n");
|
|
kf->reset();
|
|
}
|
|
else if (key == 'v')
|
|
{
|
|
renderViz = true;
|
|
}
|
|
else if (key == 'w')
|
|
{
|
|
// Output the fused point cloud from KinectFusion
|
|
Mat out_points;
|
|
Mat out_normals;
|
|
points.copyTo(out_points);
|
|
normals.copyTo(out_normals);
|
|
|
|
printf("Saving fused point cloud into ply file ...\n");
|
|
|
|
// Save to the ply file
|
|
#define PLY_START_HEADER "ply"
|
|
#define PLY_END_HEADER "end_header"
|
|
#define PLY_ASCII "format ascii 1.0"
|
|
#define PLY_ELEMENT_VERTEX "element vertex"
|
|
string output_file_name = "kf_output.ply";
|
|
ofstream ofs(output_file_name); // text mode first
|
|
ofs << PLY_START_HEADER << endl;
|
|
ofs << PLY_ASCII << endl;
|
|
ofs << PLY_ELEMENT_VERTEX << " " << out_points.rows << endl;
|
|
ofs << "property float x" << endl;
|
|
ofs << "property float y" << endl;
|
|
ofs << "property float z" << endl;
|
|
ofs << "property float nx" << endl;
|
|
ofs << "property float ny" << endl;
|
|
ofs << "property float nz" << endl;
|
|
ofs << PLY_END_HEADER << endl;
|
|
ofs.close();
|
|
|
|
stringstream ss;
|
|
for (int i = 0; i < out_points.rows; ++i)
|
|
{
|
|
ss << out_points.at<float>(i, 0) << " "
|
|
<< out_points.at<float>(i, 1) << " "
|
|
<< out_points.at<float>(i, 2) << " "
|
|
<< out_normals.at<float>(i, 0) << " "
|
|
<< out_normals.at<float>(i, 1) << " "
|
|
<< out_normals.at<float>(i, 2) << endl;
|
|
}
|
|
ofstream ofs_text(output_file_name, ios::out | ios::app);
|
|
ofs_text.write(ss.str().c_str(), (streamsize)ss.str().length());
|
|
}
|
|
else if (key == 'q')
|
|
{
|
|
stop = true;
|
|
}
|
|
|
|
k4a_image_release(depth_image);
|
|
k4a_image_release(undistorted_depth_image);
|
|
k4a_capture_release(capture);
|
|
}
|
|
|
|
k4a_image_release(lut);
|
|
|
|
destroyAllWindows();
|
|
#endif
|
|
|
|
k4a_device_close(device);
|
|
|
|
return 0;
|
|
} |