- OpenCL kernel cleanup processing is asynchronous and can be called even after forced clFinish()
- buffers are released later in asynchronous mode
- silence these false positive cases for asynchronous cleanup
reformatting
Improve initialization performance of Brisk
fix formatting
Improve initialization performance of Brisk
formatting
Improve initialization performance of Brisk
make a lookup table for ring
use cosine/sine lookup table for theta in brisk and utilize trig identity
fix ring lookup table
use cosine/sine lookup table for theta in brisk and utilize trig identity
formatting
use cosine/sine lookup table for theta in brisk and utilize trig identity
move scale radius product to ring loop to ensure it's not recomputed for each rot
revert change
move scale radius product to ring loop to ensure it's not recomputed for each rot
remove rings lookup table
move scale radius product to ring loop to ensure it's not recomputed for each rot
fix formatting of for loop
move scale radius product to ring loop to ensure it's not recomputed for each rot
use sine/cosine approximations for brisk lookup table.
add documentation for sine/cosine lookup tables
Improve initialization performance of BRISK
* 8-bit SIFT descriptors
* use clearer parameter
* update docs
* propagate type info
* overload function for avoiding ABI-break
* bugfix: some values are undefined when CV_SIMD is absent
* hopefully, eliminated compile warnings, errors, as well as failure in one test
* * fixed a few typos
* decreased buffer size in some cases
* added more optimal im2row branch in the case of 1x1 convolutions
* tuned fastConv to reduce the number of passes over arrays
backport of commit 77b01deb80
add relu option
add relu as activation option in darknet
simplify the setParams if-else ladder
add relu as activation option in darknet
correct activation_param type
format
format
add relu as activation option in darknet
spacing
spacing
add relu as activation option in darknet
* Possibility to set more than one tree for the hierarchical KMeans (default is still 1 tree).
This particularly improves NN retrieval results with binary vectors, allowing better quality
compared to LSH for similar processing time when speed is the criterium.
* Add explanations on the FLANN's hierarchical KMeans for binary data.
DNN: OpenCL/slice update
* dnn(ocl/slice): make slice kernel VTune friendly
- more unique names
- inline code of copy functions
* dnn(ocl/slice): prefer to spawn more work groups
- even in case with 1D copy
- perf improvement up to 2x of kernel time (due to changed configuration 128x1x1 => 128x32x1)
* dnn(ocl/slice): cache kernel exec info
* Implement ASIFT in C++
* '>>' should be '> >' within a nested template
* add a sample for asift usage
* bugfix empty keypoints cause crash
* simpler initialization for mask
* suppress the number of lines
* correct tex document
* type casting
* add descriptorsize for asift
* smaller testdata for asift
* more smaller test data
* add OpenCV short license header
libjasper has recently changed `jas_matrix_get` from a macro to an inline function
(389951d071 in https://github.com/jasper-software/jasper), causing the build to fail.
- Added test for automated rotation for MP4 videos with metadata
- Fix 180 degrees rotation bug
- Moved rotation logic to cv::VideoCapture implementation for FFmpeg and restore binary compatibility with FFmpeg wrapper.
- Add VideoCapture camera orientation property for mp4 videos with camera orientation meta.
- Add auto rotation for 90, 180, 270 degrees using cv::rotate
Pev binary kmeans
* Ongoing work transposing kmeans clustering method for bitfields: the computeClustering method
Ongoing work transposing kmeans clustering method for bitfields: interface computeBitfieldClustering
Fix genericity of computeNodeStatistics
Ongoing work transposing kmeans clustering method for bitfields: adapt computeNodeStatistics()
Ongoing work transposing kmeans clustering method for bitfields: adapt findNN() method
Ongoing work transposing kmeans clustering method for bitfields: allow kmeans with Hamming distance
Ongoing work transposing kmeans clustering method for bitfields: adapt distances code
Ongoing work transposing kmeans clustering method for bitfields: adapt load/save code
Ongoing work transposing kmeans clustering method for bitfields: adapt kmeans hierarchicalClustring()
PivotType -> CentersType Renaming
Fix type casting for ARM SIMD implementation of Hamming
Fix warnings with Win32 compilation
Fix warnings with Win64 compilation
Fix wrong parenthesis position on rounding
* Ensure proper rounding when CentersType is integral
Alexander Alekhin
danielenricocahall
Tomoaki Teshima
Yosshi999
nhlsm
Liubov Batanina
Yashas Samaga B L
Pierre-Emmanuel Viel
Vadim Pisarevsky
Gabriel
Ilya Churaev
kadi soheib
Suleyman TURKMEN
Dmitry Kurtaev
Pavel Rojtberg
Florian Jung
Namgoo Lee
Alexander Smorkalov
Alexey Lapshin
Sinitsina