libmv-capi-sys 0.1.3

Unsafe FFI bindings for libmv, Blender's motion-tracking library
Documentation 
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/* SPDX-FileCopyrightText: 2011 Blender Authors
 *
 * SPDX-License-Identifier: GPL-2.0-or-later */

#include "intern/detector.h"
#include "intern/image.h"
#include "intern/utildefines.h"
#include "libmv/simple_pipeline/detect.h"

using libmv::Detect;
using libmv::DetectOptions;
using libmv::Feature;
using libmv::FloatImage;

struct libmv_Features {
  int count;
  Feature* features;
};

namespace {

libmv_Features* libmv_featuresFromVector(
    const libmv::vector<Feature>& features) {
  libmv_Features* libmv_features = LIBMV_STRUCT_NEW(libmv_Features, 1);
  int count = features.size();
  if (count) {
    libmv_features->features = LIBMV_STRUCT_NEW(Feature, count);
    for (int i = 0; i < count; i++) {
      libmv_features->features[i] = features.at(i);
    }
  } else {
    libmv_features->features = NULL;
  }
  libmv_features->count = count;
  return libmv_features;
}

void libmv_convertDetectorOptions(libmv_DetectOptions* options,
                                  DetectOptions* detector_options) {
  switch (options->detector) {
#define LIBMV_CONVERT(the_detector)                                            \
  case LIBMV_DETECTOR_##the_detector:                                          \
    detector_options->type = DetectOptions::the_detector;                      \
    break;
    LIBMV_CONVERT(FAST)
    LIBMV_CONVERT(MORAVEC)
    LIBMV_CONVERT(HARRIS)
#undef LIBMV_CONVERT
  }
  detector_options->margin = options->margin;
  detector_options->min_distance = options->min_distance;
  detector_options->fast_min_trackness = options->fast_min_trackness;
  detector_options->moravec_max_count = options->moravec_max_count;
  detector_options->moravec_pattern = options->moravec_pattern;
  detector_options->harris_threshold = options->harris_threshold;
}

}  // namespace

libmv_Features* libmv_detectFeaturesByte(const unsigned char* image_buffer,
                                         int width,
                                         int height,
                                         int channels,
                                         libmv_DetectOptions* options) {
  // Prepare the image.
  FloatImage image;
  libmv_byteBufferToFloatImage(image_buffer, width, height, channels, &image);

  // Configure detector.
  DetectOptions detector_options;
  libmv_convertDetectorOptions(options, &detector_options);

  // Run the detector.
  libmv::vector<Feature> detected_features;
  Detect(image, detector_options, &detected_features);

  // Convert result to C-API.
  libmv_Features* result = libmv_featuresFromVector(detected_features);
  return result;
}

libmv_Features* libmv_detectFeaturesFloat(const float* image_buffer,
                                          int width,
                                          int height,
                                          int channels,
                                          libmv_DetectOptions* options) {
  // Prepare the image.
  FloatImage image;
  libmv_floatBufferToFloatImage(image_buffer, width, height, channels, &image);

  // Configure detector.
  DetectOptions detector_options;
  libmv_convertDetectorOptions(options, &detector_options);

  // Run the detector.
  libmv::vector<Feature> detected_features;
  Detect(image, detector_options, &detected_features);

  // Convert result to C-API.
  libmv_Features* result = libmv_featuresFromVector(detected_features);
  return result;
}

void libmv_featuresDestroy(libmv_Features* libmv_features) {
  if (libmv_features->features) {
    LIBMV_STRUCT_DELETE(libmv_features->features);
  }
  LIBMV_STRUCT_DELETE(libmv_features);
}

int libmv_countFeatures(const libmv_Features* libmv_features) {
  return libmv_features->count;
}

void libmv_getFeature(const libmv_Features* libmv_features,
                      int number,
                      double* x,
                      double* y,
                      double* score,
                      double* size) {
  Feature& feature = libmv_features->features[number];
  *x = feature.x;
  *y = feature.y;
  *score = feature.score;
  *size = feature.size;
}