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docs for Odometry+Frame
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@@ -68,8 +68,11 @@ public:
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CV_WRAP bool compute(InputArray srcDepthFrame, InputArray dstDepthFrame, OutputArray Rt) const;
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CV_WRAP bool compute(InputArray srcDepthFrame, InputArray srcRGBFrame, InputArray dstDepthFrame, InputArray dstRGBFrame, OutputArray Rt) const;
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//TODO: document it
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//requires frame size, initialized at prepareFrame stage()
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/**
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* @brief Get the normals computer object used for normals calculation (if presented).
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* The normals computer is generated at first need during prepareFrame when normals are required for the ICP algorithm
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* but not presented by a user. Re-generated each time the related settings change or a new frame arrives with the different size.
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*/
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Ptr<RgbdNormals> getNormalsComputer() const;
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class Impl;
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@@ -26,25 +26,79 @@ enum OdometryFramePyramidType
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N_PYRAMIDS
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};
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/**
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* @brief An object that keeps per-frame data for Odometry algorithms from user-provided images to algorithm-specific precalculated data.
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* When not empty, it contains a depth image, a mask of valid pixels and a set of pyramids generated from that data.
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* An RGB/Gray image and normals are optional.
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* OdometryFrame is made to be used together with Odometry class to reuse precalculated data between Rt data calculations.
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* A proper way to do that is to call Odometry::prepareFrames() on prev and next frames and then pass them to Odometry::compute() method.
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*/
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class CV_EXPORTS_W OdometryFrame
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{
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public:
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//TODO: add to docs: check image channels, if 3 or 4 then do cvtColor(BGR(A)2GRAY)
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/**
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* @brief Construct a new OdometryFrame object. All non-empty images should have the same size.
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*
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* @param image An RGB or grayscale image (or noArray() if it's not required for used ICP algorithm).
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* Should have 3 or 4 uchar channels if it's RGB image or 1 uchar channel if it's grayscale. If it's RGB then it's converted to grayscale
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* image automatically.
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* @param depth A depth image, should have 1 channel
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* @param mask A user-provided mask of valid pixels, should have 1 uchar channel
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* @param normals A user-provided normals to the depth surface, should have 4 float channels
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*/
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OdometryFrame(InputArray image = noArray(), InputArray depth = noArray(), InputArray mask = noArray(), InputArray normals = noArray());
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~OdometryFrame() {};
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/**
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* @brief Get the original user-provided RGB/Gray image
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*
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* @param image Output image
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*/
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void getImage(OutputArray image) const;
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/**
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* @brief Get the gray image generated from the user-provided RGB/Gray image
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*
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* @param image Output image
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*/
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void getGrayImage(OutputArray image) const;
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/**
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* @brief Get the original user-provided depth image
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*
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* @param depth Output image
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*/
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void getDepth(OutputArray depth) const;
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/**
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* @brief Get the depth image generated from the user-provided one after conversion, rescale or filtering for ICP algorithm needs
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*
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* @param depth Output image
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*/
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void getScaledDepth(OutputArray depth) const;
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/**
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* @brief Get the valid pixels mask generated for the ICP calculations intersected with the user-provided mask
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*
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* @param mask Output image
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*/
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void getMask(OutputArray mask) const;
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/**
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* @brief Get the normals image either generated for the ICP calculations or user-provided
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*
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* @param normals Output image
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*/
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void getNormals(OutputArray normals) const;
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//TODO: add docs
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// returns amt of levels in pyramids (all of them should have the same amt of levels) or 0 if no pyramids were prepared yet
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/**
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* @brief Get the amount of levels in pyramids (all of them if not empty should have the same number of levels)
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* or 0 if no pyramids were prepared yet
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*/
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size_t getPyramidLevels() const;
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//TODO: add docs
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// returns empty img if no data in the pyramid or in the pyramid's level
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/**
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* @brief Get the image generated for the ICP calculations from one of the pyramids specified by pyrType. Returns empty image if
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* the pyramid is empty or there's no such pyramid level
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*
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* @param img Output image
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* @param pyrType Type of pyramid
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* @param level Level in the pyramid
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*/
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void getPyramidAt(OutputArray img, OdometryFramePyramidType pyrType, size_t level) const;
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class Impl;
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