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Updated 2021 (markdown)

Vadim Pisarevsky 2021-12-22 18:37:23 +03:00
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2021.md

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* fixed problem incorrect results/crashes when processing small images with Tim-VX backend.
* most of the layer tests now pass, with a notable exception of Leaky-ReLU. Tim-VX implementation is fixed-point, so it produces a LUT slightly different from the reference C implementation.
* problem with different hash sums of .zip archives is still unsolved and would probably be difficult to solve.
* experiments on per-channel vs per-tensor quantization are in progress.
* Alexander V:
* The team is working on pre-release package validation.
* 4.5.5 Changelog placeholder at Wiki: https://github.com/opencv/opencv/wiki/ChangeLog#version454
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* Lapack patch has been merged: https://github.com/opencv/opencv/pull/21114
* C++ and Python spectrogram samples has been merged: https://github.com/opencv/opencv/pull/20934
* Integration Audio I/O functionality into GSoC speech recognition sample is going to be merged soon: https://github.com/opencv/opencv/pull/21197
* Alexander S:
* Done:
* Egor: Merged:
* const/x fix for Div PR.
* Flatten fix for ONNX PR.
* Add celu, hardsigmoid, selu, thresholdedrelu layers PR.
* Add acos, acosh, asin, asinh, atan, atanh, cos, cosh, erf, hardswish, sin, sinh, softplus, softsign, tan layers PR.
* Egor: Reviewed:
* add argmax and argmin parsing for tensorflow #21268.
* dnn(test): update ONNX conformance filters (4.x) #21265.
* Fixed several issues found by static analysis #21267.
* Alexander P: Update ArUco tutorial #3126:
* Fixed and merged. In total:
* fixed ArUco, ChArUco, diamonds, calibration chapters;
* added read dictionary and read params API;
* added calibration photos;
* added tests of tutorial to avoid regression;
* added aruco_samples_utility.hpp to avoid code duplication.
* on sick leave currently.
* Andrey: Tested OpenCV python packages building after merging the PR with changes for python limited API support on all platforms and different python versions.
* In progress:
* Egor: Benchmarked attempts #1 and #2 of general broadcasting implementations, they turned out to be pretty slow. WIP on dims*log(MAX_DIM) solution - it is working and is faster than alternatives, but I think I need to get rid of allocations.
* Shiqi:
* 2 PRs have been merged from the students:
* Square operator from TF
* batch Mat mul
* argmax, argmin for TF is in progress.
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