* Add RowVec_8u32f
* Fix build errors in Linux x64 Debug and armeabi-v7a
* Reformat code to make it more clean and conventional
* Optimise with vx_load_expand_q()
Recover pose from different cameras (version 2)
* add recoverPose for two different cameras
* Address review comments from original PR
* Address new review comments
* Rename private api
Co-authored-by: tompollok <tom.pollok@gmail.com>
Co-authored-by: Zane <zane.huang@mail.utoronto.ca>
This submission is used to improve the performance of the inpaint algorithm for 3 channels images(RGB or BGR).
Reason:
The original algorithm implementation did not consider the cache hits.
The loop of channels is outside the core loop, so the perfmance is not very good.
Moving the channel loop inside the core loop can significantly improve cache hits, thereby improving performance.
Performance:
360P, about >= 30% improvement
iphone8P: 5.52ms -> 3.75ms
iphone6s: 14.04ms -> 9.15ms
G-API: Handle reshape for generic case in GExecutor
* Handle reshape for generic case for GExecutor
* Add initResources
* Add tests
* Refactor reshape method
different paddings in cvtColorTwoPlane() for biplane YUV420
* Different paddings support in cvtColorTwoPlane() for biplane YUV420
* Build fix for dispatch case.
* Resoted old behaviour for y.step==uv.step to exclude perf regressions.
Co-authored-by: amir.tulegenov <amir.tulegenov@xperience.ai>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
* feat: OpenCV extension with pure Python modules
* feat: cv2 is now a Python package instead of extension module
Python package cv2 now can handle both Python and C extension modules
properly without additional "subfolders" like "_extra_py_code".
* feat: can call native function from its reimplementation in Python
Add support for YOLOv4x-mish
* backport to 3.4 for supporting yolov4x-mish
* add YOLOv4x-mish test
* address review comments
Co-authored-by: Guo Xu <guoxu@1school.com.cn>
Add CAP_PROP_STREAM_OPEN_TIME
* Added CAP_PROP_STREAM_OPEN_TIME to videoio module - can be used to query the time at which the stream was opened, in seconds since Jan 1 1970 (midnight, UTC). Useful for RTSP and other live video where absolute timestamps are needed. Only applicable to ffmpeg backends
* use nanoseconds instead of seconds to mark the stream open time, and change the cap prop name to CAP_PROP_STREAM_OPEN_TIME_NSEC
* use microseconds for CAP_PROP_STREAM_OPEN_TIME (nanoseconds rolls over too soon, and milliseconds/seconds requires a division)
* fix whitespace issue
Add Normalize subgraph, fix Slice, Mul and Expand
* Add Normalize subgraph, support for starts<0 and axis<0 in Slice, Mul broadcasting in the middle and fix Expand's unsqueeze
* remove todos
* remove range-based for loop
* address review comments
* change >> to > > in template
* fix indexation
* fix expand that does nothing
* support PPSeg model for dnn module
* fixed README for CI
* add test case
* fixed bug
* deal with comments
* rm dnn_model_runner
* update test case
* fixed bug for testcase
* update testcase
`PyObject*` to `std::vector<T>` conversion logic:
- If user passed Numpy Array
- If array is planar and T is a primitive type (doesn't require
constructor call) that matches with the element type of array, then
copy element one by one with the respect of the step between array
elements. If compiler is lucky (or brave enough) copy loop can be
vectorized.
For classes that require constructor calls this path is not
possible, because we can't begin an object lifetime without hacks.
- Otherwise fall-back to general case
- Otherwise - execute the general case:
If PyObject* corresponds to Sequence protocol - iterate over the
sequence elements and invoke the appropriate `pyopencv_to` function.
`std::vector<T>` to `PyObject*` conversion logic:
- If `std::vector<T>` is empty - return empty tuple.
- If `T` has a corresponding `Mat` `DataType` than return
Numpy array instance of the matching `dtype` e.g.
`std::vector<cv::Rect>` is returned as `np.ndarray` of shape `Nx4` and
`dtype=int`.
This branch helps to optimize further evaluations in user code.
- Otherwise - execute the general case:
Construct a tuple of length N = `std::vector::size` and insert
elements one by one.
Unnecessary functions were removed and code was rearranged to allow
compiler select the appropriate conversion function specialization.
[G-API] Extend compileStreaming to support different overloads
* Make different overloads
* Order python compileStreaming overloads
* Fix compileStreaming bug
* Replace
gin -> descr_of
* Set error message
* Fix review comments
* Use macros for pyopencv_to GMetaArgs
* Use GAPI_PROP_RW
* Not split Prims python stuff
* Added exposure and gain props, maximized pixel clk
* removed pixel clock maximization
pixel clock maximization is not suitable for all use cases, so I removed it from PR.
Moving RGBD parts to 3d
* files moved from rgbd module in contrib repo
* header paths fixed
* perf file added
* lapack compilation fixed
* Rodrigues fixed in tests
* rgbd namespace removed
* headers fixed
* initial: rgbd files moved to 3d module
* rgbd updated from latest contrib master; less file duplication
* "std::" for sin(), cos(), etc.
* KinFu family -> back to contrib
* paths & namespaces
* removed duplicates, file version updated
* namespace kinfu removed from 3d module
* forgot to move test_colored_kinfu.cpp to contrib
* tests fixed: Params removed
* kinfu namespace removed
* it works without objc bindings
* include headers fixed
* tests: data paths fixed
* headers moved to/from public API
* Intr -> Matx33f in public API
* from kinfu_frame.hpp to utils.hpp
* submap: Intr -> Matx33f, HashTSDFVolume -> Volume; no extra headers
* no RgbdFrame class, no Mat fields & arg -> InputArray & pImpl
* get/setPyramidAt() instead of lots of methods
* Mat -> InputArray, TMat
* prepareFrameCache: refactored
* FastICPOdometry: +truncate threshold, +depthFactor; Mat/UMat choose
* Mat/UMat choose
* minor stuff related to headers
* (un)signed int warnings; compilation minor issues
* minors: submap: pyramids -> OdometryFrame; tests fix; FastICP minor; CV_EXPORTS_W for kinfu_frame.hpp
* FastICPOdometry: caching, rgbCameraMatrix
* OdometryFrame: pyramid%s% -> pyramids[]
* drop: rgbCameraMatrix from FastICP, RGB cache mode, makeColoredFrameFrom depth and all color-functions it calls
* makeFrameFromDepth, buildPyramidPointsNormals -> from public to internal utils.hpp
* minors
* FastICPOdometry: caching updated, init fields
* OdometryFrameImpl<UMat> fixed
* matrix building fixed; minors
* returning linemode back to contrib
* params.pose is Mat now
* precomp headers reorganized
* minor fixes, header paths, extra header removed
* minors: intrinsics -> utils.hpp; whitespaces; empty namespace; warning fixed
* moving declarations from/to headers
* internal headers reorganized (once again)
* fix include
* extra var fix
* fix include, fix (un)singed warning
* calibration.cpp: reverting back
* headers fix
* workaround to fix bindings
* temporary removed wrappers
* VolumeType -> VolumeParams
* (temporarily) removing wrappers for Volume and VolumeParams
* pyopencv_linemod -> contrib
* try to fix test_rgbd.py
* headers fixed
* fixing wrappers for rgbd
* fixing docs
* fixing rgbdPlane
* RgbdNormals wrapped
* wrap Volume and VolumeParams, VolumeType from enum to int
* DepthCleaner wrapped
* header folder "rgbd" -> "3d"
* fixing header path
* VolumeParams referenced by Ptr to support Python wrappers
* render...() fixed
* Ptr<VolumeParams> fixed
* makeVolume(... resolution -> [X, Y, Z])
* fixing static declaration
* try to fix ios objc bindings
* OdometryFrame::release...() removed
* fix for Odometry algos not supporting UMats: prepareFrameCache<>()
* preparePyramidMask(): fix to compile with TMat = UMat
* fixing debug guards
* removing references back; adding makeOdometryFrame() instead
* fixing OpenCL ICP hanging (some threads exit before reaching the barrier -> the rest threads hang)
* try to fix objc wrapper warnings; rerun builders
* VolumeType -> VolumeKind
* try to fix OCL bug
* prints removed
* indentation fixed
* headers fixed
* license fix
* WillowGarage licence notion removed, since it's in OpenCV's COPYRIGHT already
* KinFu license notion shortened
* debugging code removed
* include guards fixed
* KinFu license left in contrib module
* isValidDepth() moved to private header
* indentation fix
* indentation fix in src files
* RgbdNormals rewritten to pImpl
* minor
* DepthCleaner removed due to low code quality, no depthScale provided, no depth images found to be successfully filtered; can be replaced by bilateral filtering
* minors, indentation
* no "private" in public headers
* depthTo3d test moved from separate file
* Normals: setDepth() is useless, removing it
* RgbdPlane => findPlanes()
* rescaleDepth(): minor
* warpFrame: minor
* minor TODO
* all Odometries (except base abstract class) rewritten to pImpl
* FastICPOdometry now supports maxRotation and maxTranslation
* minor
* Odometry's children: now checks are done in setters
* get rid of protected members in Odometry class
* get/set cameraMatrix, transformType, maxRot/Trans, iters, minGradients -> OdometryImpl
* cameraMatrix: from double to float
* matrix exponentiation: Eigen -> dual quaternions
* Odometry evaluation fixed to reuse existing code
* "small" macro fixed by undef
* pixNorm is calculated on CPU only now (and then uploads on GPU)
* test registration: no cvtest classes
* test RgbdNormals and findPlanes(): no cvtest classes
* test_rgbd.py: minor fix
* tests for Odometry: no cvtest classes; UMat tests; logging fixed
* more CV_OVERRIDE to overriden functions
* fixing nondependent names to dependent
* more to prev commit
* forgotten fixes: overriden functions, (non)dependent names
* FastICPOdometry: fix UMat support when OpenCL is off
* try to fix compilation: missing namespaces
* Odometry: static const-mimicking functions to internal constants
* forgotten change to prev commit
* more forgotten fixes
* do not expose "submap.hpp" by default
* in-class enums: give names, CamelCase, int=>enums; minors
* namespaces, underscores, String
* std::map is used by pose graph, adding it
* compute()'s signature fixed, computeImpl()'s too
* RgbdNormals: Mat -> InputArray
* depth.hpp: Mat -> InputArray
* cameraMatrix: Matx33f -> InputArray + default value + checks
* "details" headers are not visible by default
* TSDF tests: rearranging checks
* cameraMatrix: no (realistic) default value
* renderPointsNormals*(): no wrappers for them
* debug: assert on empty frame in TSDF tests
* debugging code for TSDF GPU
* debug from integrate to raycast
* no (non-zero) default camera matrix anymore
* drop debugging code (does not help)
* try to fix TSDF GPU: constant -> global const ptr
* videoio/gstreamer: Add support for GRAY16_LE.
* videoio/gstreamer: added BGRA/BGRx support
Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
* VideoCapture timeout set/get
* Common formatting for enum values
* Fix enum values wrongly in videoio.hpp
* Define timeout enum values in public api and align with master
docs(core/ocl): clarify ownership of arguments passed into OpenCL related functions
* docs(core/ocl): clarify ownership in OpenCLExecutionContext::create
Although it is technically true that OpenCLExecutionContext::create
calls `clRetainContext` on its context argument, it is misleading
because it does not increase the reference count overall. Clarify that
the ownership of one reference of the passed context and device is
taken.
* docs(core/ocl): document ownership transfer in ocl::Device::fromHandle
Optimization of DNN using native RISC-V vector intrinsics.
* Use RVV to optimize fastGEMM (FP32) in DNN.
* Use RVV to optimize fastGEMM1T in DNN.
* Use RVV to optimize fastConv in DNN.
* Use RVV to optimize fastDepthwiseConv in DNN.
* Vectorize tails using vl.
* Use "vl" instead of scalar to handle small block in fastConv.
* Fix memory access out of bound in "fastGEMM1T".
* Remove setvl.
* Remove useless initialization.
* Use loop unrolling to handle tail part instead of switch.
[G-API] Support postprocessing for not argmaxed outputs
* Support postprocessing for not argmaxed outputs
* Fix typo
* Add assert
* Remove static cast
* CamelCast to snake_case
* Fix windows warning
* Add static_cast to uint8_t
* Add const to variables
Add Python's test for LSTM layer
* Add Python's test for LSTM layer
* Set different test threshold for FP16 target
* rename test to test_input_3d
Co-authored-by: Julie Bareeva <julia.bareeva@xperience.ai>
