OpenCV學習參考 即時貼

注意：本博文在github上平常更新（保持GitHub最新）

https://github.com/SylvesterLi/MyOpenCVCode

基本安裝：https://blog.csdn.net/nicewe/article/details/79173346

Contribute編譯-安裝：http://www.javashuo.com/article/p-zdtebofm-ep.html

注意：我在make的時候被卡住了好半天。由於後臺在補全（下載）package，跟網絡有關 

實踐證實，沒有build文件夾直接使用newbuild是能夠的。（另外，第二個教程裏教你配置環境變量F:\OCV\opencv\newbuild\install\x64\vc15\bin）

個人Github連接：https://github.com/SylvesterLi/MyOpenCVCode

Here is my README.md

Here is my OpenCV Learning Code

Well, I am not so professional in this, but I'd like to share my learning experinence.

maybe someday it goes to work out my questions~

Update 1

2018/08/25 Now we come a new stage and I should learn more professional knowledge.

What I have learnt from

This tells you how to normally setup

https://blog.csdn.net/jia20003/article/details/54583431

and when you got some trouble：Pls check your network(My home network trapped me for a long while)

Problems such as

Download face_landmark_model.dat Failed (or time out)
missing ffmpeg

but the download is real slow.
you could use your mobile and provide hotspot for your PC.(As I done)

if auto-download can't do to help, you could check these issues :

https://github.com/opencv/opencv_contrib/issues

At last ,google can be your best driver.

Update 2

Finally, got it! After check and check again, it works!

Below is the code of printing all files' name in current catalog
Just paste it in the PowerShell
Attention : the F:\OCV\opencv\newbuild\install\x64\vc15\lib is my file directory path

Get-ChildItem F:\OCV\opencv\newbuild\install\x64\vc15\lib | ForEach-Object -Process{
if($_ -is [System.IO.FileInfo])
{
Write-Host($_.name);
}
}

## Update 3

In the OCV3 Project I don't use src as default input image but use img_1.Which leads me misleading and make some mistakes. In the last days, I should take care of this!!

## Update 4

These two days, i just watch corner detection, one of detection methods is Harris , and another is Shi-Tomasi Corner detetion. In my point of view , Good Features To Track (aka Shi-Tomasi) performs better than Harris detection .

But both of them did not mark the top of roof which human could easily recognize.

Pic blow is good feature to track

and till now, I should have finished custom corner detection, but I think it is unnecessary to learn. When I meet such kind of projects or problems, I would come back have a careful seek.

Update 5

These two days I have tried SURF and SIFT,both of them are using to detect KeyPoints in the image which is hard for human beings to recognize what it is.

And the result of Experiments is that there are not so much differences between SURF and SIFT, but you still say, the KeyPoints of image shows their own features, which we can conclude that SIFT seems better?

Almost forget to say, their sample code looks same.

//SIFT跟SURF代碼是如出一轍的
//numOfFeatures指的是特徵點的個數
int numOfFeatures = 400;
//如今建立檢測器
Ptr<SIFT> detector = SIFT::create(numOfFeatures);
vector<KeyPoint> keypoints;//存到這來
//檢測 
detector->detect(src, keypoints);
Mat kpImage;
//繪製關鍵點
drawKeypoints(src, keypoints, kpImage);

namedWindow("result", WINDOW_AUTOSIZE);
imshow("result", kpImage);

Update 6

Comming soon....

These days I am too lazy to update, but from now on. I will keep code updating!!!