optimized pointscloud
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@ -26,38 +26,26 @@ const char DisparityProcessor::NAME[] = "DisparityProcessor";
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DisparityProcessor::DisparityProcessor(std::int32_t proc_period)
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: Processor(std::move(proc_period)) {
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VLOG(2) << __func__ << ": proc_period=" << proc_period;
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int sgbmWinSize = 3;
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int numberOfDisparities = 64;
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int blockSize_ = 15; // 15
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int minDisparity_ = 0; // 0
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int numDisparities_ = 64; // 64
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int preFilterSize_ = 9; // 9
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int preFilterCap_ = 31; // 31
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int uniquenessRatio_ = 15; // 15
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int textureThreshold_ = 10; // 10
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int speckleWindowSize_ = 100; // 100
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int speckleRange_ = 4; // 4
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#ifdef USE_OPENCV2
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// StereoSGBM
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// http://docs.opencv.org/2.4/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.html?#stereosgbm
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sgbm_ = cv::Ptr<cv::StereoSGBM>(
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new cv::StereoSGBM(
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0, // minDisparity
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numberOfDisparities, // numDisparities
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sgbmWinSize, // SADWindowSize
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8 * sgbmWinSize * sgbmWinSize, // P1
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32 * sgbmWinSize * sgbmWinSize, // P2
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1, // disp12MaxDiff
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63, // preFilterCap
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10, // uniquenessRatio
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100, // speckleWindowSize
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32, // speckleRange
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false)); // fullDP
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#else
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sgbm_ = cv::StereoSGBM::create(0, 16, 3);
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sgbm_->setPreFilterCap(63);
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sgbm_->setBlockSize(sgbmWinSize);
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sgbm_->setP1(8 * sgbmWinSize * sgbmWinSize);
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sgbm_->setP2(32 * sgbmWinSize * sgbmWinSize);
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sgbm_->setMinDisparity(0);
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sgbm_->setNumDisparities(numberOfDisparities);
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sgbm_->setUniquenessRatio(10);
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sgbm_->setSpeckleWindowSize(100);
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sgbm_->setSpeckleRange(32);
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sgbm_->setDisp12MaxDiff(1);
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#endif
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bm_ = cv::StereoBM::create();
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bm_->setBlockSize(blockSize_);
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bm_->setMinDisparity(minDisparity_);
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bm_->setNumDisparities(numDisparities_);
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bm_->setPreFilterSize(preFilterSize_);
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bm_->setPreFilterCap(preFilterCap_);
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bm_->setUniquenessRatio(uniquenessRatio_);
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bm_->setTextureThreshold(textureThreshold_);
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bm_->setSpeckleWindowSize(speckleWindowSize_);
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bm_->setSpeckleRange(speckleRange_);
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}
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DisparityProcessor::~DisparityProcessor() {
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@ -79,26 +67,8 @@ bool DisparityProcessor::OnProcess(
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ObjMat *output = Object::Cast<ObjMat>(out);
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cv::Mat disparity;
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#ifdef USE_OPENCV2
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// StereoSGBM::operator()
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// http://docs.opencv.org/2.4/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.html#stereosgbm-operator
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// Output disparity map. It is a 16-bit signed single-channel image of the
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// same size as the input image.
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// It contains disparity values scaled by 16. So, to get the floating-point
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// disparity map,
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// you need to divide each disp element by 16.
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(*sgbm_)(input->first, input->second, disparity);
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#else
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// compute()
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// http://docs.opencv.org/master/d2/d6e/classcv_1_1StereoMatcher.html
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// Output disparity map. It has the same size as the input images.
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// Some algorithms, like StereoBM or StereoSGBM compute 16-bit fixed-point
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// disparity map
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// (where each disparity value has 4 fractional bits),
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// whereas other algorithms output 32-bit floating-point disparity map.
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sgbm_->compute(input->first, input->second, disparity);
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#endif
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output->value = disparity / 16 + 1;
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bm_->compute(input->first, input->second, disparity);
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output->value = disparity;
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return true;
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}
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@ -17,13 +17,17 @@
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#include <string>
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#include <opencv2/calib3d/calib3d.hpp>
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#include "api/processor/processor.h"
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#if 0
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namespace cv {
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class StereoSGBM;
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} // namespace cv
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#endif
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MYNTEYE_BEGIN_NAMESPACE
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@ -42,7 +46,7 @@ class DisparityProcessor : public Processor {
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Object *const in, Object *const out, Processor *const parent) override;
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private:
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cv::Ptr<cv::StereoSGBM> sgbm_;
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cv::Ptr<cv::StereoBM> bm_;
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};
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MYNTEYE_END_NAMESPACE
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