* add read npy for ncnn2table

* optimize npy to mat to avoid non-contiguous memory data

* add create the calibration table from npy

* add catch exception

* x86 vulkan fallback
* comment about bf16s

* quantize gemm

* write gemm quantize scales

* update doc

* less openmp args

* x86 riscv fallback

* skip gemm vulkan int8

* fix noint8 test, fix arm bf16 test

* enable vfpv4 on neon build only

* fix gemm vulkan without C

* fp16 pack8 output

* enable elempack=8 only for asimdhp+

* tiled gemm int8 test

* opt arm64 tiles, fix asimdhp dispatch

* fix ncnn tools crash with compound layer creation

* write gemm weight data

src/stb_image.h
src/layer/detectionoutput.cpp
tools/quantize/imreadwrite.cpp

* fix crash in ncnn2table for missing weight data in lightmode

* Update modelwriter.h

修正eq 校准中imagelists错误的索引

* it's possible not to resize image

* quantize and dequantize tests

* unify activation and usability function

* drop NCNN_REQUANT cmake option, test dequantize requantize pack8, fix webassembly build

* benchmark use requantize int8 model

* build shared lib and enable lto

* reserved for layer and option

* allocator pimpl

* datareader pimpl

* paramdict pimpl, disable copy assign for allocator and datareader

* modelbin pimpl

* net extractor pimpl

* gpu pimple

* disable copy assign vulkandevice, code format

* command pimpl, dummy image readonly

* pipeline pipelinecache pimpl, export platform class

* code format, export simple family

* update ci

* disable lto on android armv7, merge webassembly ci

* link libgcc, fix macos dylib version

* pipeline pimpl, gpu info pimpl

* destroy gpu info after vulkan device

* ignore msvc stl class warning

* fix ncnn_paramdict_get_float return type

* fix vktransfer upload fp16 without flatten, add command test

* fix compiling failure on cxx14

* fix compile failure when NCNN_PIXEL off

* do not export pixel api when NCNN_PIXEL off

* disable squeezenet test when NCNN_PIXEL off

* do not build ncnn2table and examples when NCNN_PIXEL off

* make cmakedefine header independent

* restore platform.h.in

Co-authored-by: nihui <shuizhuyuanluo@126.com>
Co-authored-by: nihuini <nihuini@tencent.com>

* fix cmake 3.5.1 config error

* fix ubuntu16.04 build error

* vulkan cmake export templete

* 1) vulkan cmake dependency export. 2) support opencv_world import. 3) add BUILD_WITH_STATIC_CRT option

* Threads dependency

* NCNN_BUILD_WITH_STATIC_CRT option

* we do not support cmake before version 3.15 for option NCNN_BUILD_WITH_STATIC_CRT

* fix #1542; fix avx2 uint16_t including

for #1542, it is for compatibility for opencv 2.x, such as on ubuntu 16.04 apt installed opencv

* update roialign

* update tool for roialign

* fix ceil for roialign

* fix ios build

* fix

* fix

* make it compatibile with the old version

* fix ios build

* trigger CI

* fix test

* order

* build

* remove code

* merge roialign

* accelerate ROIAlign

* update note

* rename func

* roialign version

* trigger CI

* fix roialign

* use ref for pre-calc in roialign

* retrigger CI

* pre-alloc

* revise more understandable help info

* try update ubuntu system before apt-get install

* remove upgrade

* 1. for cross platform, use cv::CommandLineParser instead of getopt.h
2. use cv::glob to search folder instead of dirent.h
3. fix some other warnings of function from cstdlib
4. add some const and some auto

* 1. fix some other warnings of function from cstdlib
2. add some const and some auto
3. i forgot...

* switch quantize tools default on

* check OpenCV first, if not found, disable quantize tools

* add _CRT_SECURE_NO_DEPRECATE for msvc and remove *_s functions

* add _CRT_SECURE_NO_DEPRECATE for msvc and remove *_s functions

* keep the one line style block

* folding bracket

* dynamic_cast -> static_cast

* add folder property for a better looking in visual studio or other property supported IDEs

* fix condition for not found protobuf

* 1. capitalize to lowercase
2. rename visual folder 'test' to 'tests'

* fix compile error of yolov3detectionoutput layer

* fix ncnn2table coredump when [Input] layer not found in ncnn.param