Build
git clone https://github.com/AVnu/OpenAvnu.git
cd OpenAvnu
set WPCAP_DIR=D:\repository\as\release\download\WpdPack
mkdir build
cd build
cmake ..
msbuild ALL_BUILD.vcxproj
git clone https://github.com/AVnu/OpenAvnu.git
cd OpenAvnu
set WPCAP_DIR=D:\repository\as\release\download\WpdPack
mkdir build
cd build
cmake ..
msbuild ALL_BUILD.vcxproj
Get the source code from here openCL Hello World demo, build with msys2 with below commands:
g++ main.cpp -I"%CUDA_PATH%\include" "%CUDA_PATH%\lib\x64\OpenCL.lib"
From this we could know that with openCL computing jobs can be assigned to other device(GPU/DSP/NPU, etc).
This is really a big question to me, what is exactly machine learning?
Since last year, maybe about Aug 2017, I came to know that there is machine learning, yes, it was that the Computer learns like humans, but at that time I really can’t understand how could it be possible even after watching the course video from Andrew NG. From the video, the basic concept I learn is:
With this basic concept, I can’t imagine how could it be possible that the objection detection model works so well, why the model looks like that, how the model was designed. I really want to know the reason and why, so for a long time, I am confused, and I don’t know how to go on.
But recent days with some reading papers and knowlege sharing from others on net, it seems that I came to know why, but I don’t know how to say.
For machine learning, it’s really something like our brain, think about that when we are new born, how we learn things step by step, I think this is a combination of supervised learning and unsupervised learning.
But now, most of the models is supervised learning only, such as alextnet, googlenet, MaskRCNN and so on. Then human construct a model, I think it’s something like a new born baby without any knowledges.
So I think if we want to learning machine learning, we should first learn how our branin works, it’s really necessary to know what is a nureon, how it works.
I list below concept as I think I should know if I want to know what is machine learning.
what is a layer or nureon
what is activation function
what is convolution
what is input
what is output
what is neural netwotk
Recently, as some of the reason, I have a look at of Mask RCNN which is based on keras. With some research on net, I find some scripts that could export the keras model file(.h5) to tensorflow model file(.pb), and a script that could load the converted tensorflow model and run it in tersoflow framework but this script need a little modification for the Mask RCNN 2.0 Relase. Now I have create a repository with all the script integrated, here it is https://github.com/parai/Mask_RCNN.
This article will introduce that how to use the qemu to stduy AS on windows, for that on linux, it’s almost the same way.
This page will record all the security related information for fast search and study purpose.
parai.wang