essamzaky's profile - activity

I think it deserve to try Machine learning to detect the noise type in the image , it's good idea and it can be area of

Try to use cv2.TM_CCOEFF_NORMED method = cv2.TM_CCOEFF_NORMED res = cv2.matchTemplate(img,template,method) min_val, max

What are the difference between OpenCV 4.x and 3.x I see that there are two branches for OpenCV 4.x and 3.x What are the

What are the difference between OpenCV 4.x and 3.x I see that there are two branches for OpenCV 4.x and 3.x What are the

What are the difference between OpenCV 4.x and 3.x I see that there are two branches for OpenCV 4.x and 3.x What are the

Please upload your code and test images to check

thanks @LBerger

@LBerger If i create and train model in Tensorflow , what is the steps to use it in OpenCV

Tutorial for creating deep NN model for a dataset and use it in Opencv I have a data set of images and want classify , i

Thanks @LBerger , i was thinking that RETR_EXTERNAL working as RETR_CCOMP , but RETR_EXTERNAL retrieves only the outer c

I will write some other methods to find the largest contour the first method use flooFill to eliminate small regions the

I will write some other methods to find the largest contour the first method use flooFill to eliminate small regions the

Missing region when used findcontours While i was playing to answer the following question link text i notices that ther

I will write some other methods to find the largest contour the first method use flooFill to eliminate small regions the

Missing region when used findcontours While i was playing to answer the following question link text i notices that ther

I will write some other methods to find the largest contour the first method use flooFill to eliminate small regions the

@strukmen i found your message in junk , are you avaliable now ? i will send Teamviewer session for you

@sturkmen i'm still trying to build without success , would you help

@sturkmen thanks for your help , but i can not get your email , how i can get it ?,here it's my email essamzaky@hotmail.

when normalize is uncommented i receive value of the dConfidence equal to 1 for all objects , but when comment normalize

when normalize is unchecked i receive value of the dConfidence equal to 1 for all objects , but when comment normalize t

It seems you are using the documentation sample normalize in this samples makes the matching score always equal to one

MatchTemplate and get matching score or confidence hint I read the matchtemplate tutorial in the documenation , when i

@sturkmen yes i'm using Window and Visual Studio

@strukmen yes i'm using Window and Visual Studio

@sturkmen Would you write steps and prerequisites to build openCV + Tesseract I has cloned OpenCV 4.1.2 , Tesseract5.0 a

i'm try to build object detection application and Patch is the object image you need to find in the scene , it takes tha

Yes the scene image is png and the object image (Patch to detect is jpg) i use the same images in OpenCV 2.3 , but the f

Thanx @LBerger , the default values are different , i hade updated the following line to take same values as Opencv v2.3

wrong result when Port code from OpenCV V2.3 into OpenCV 4.1.2 I have the following code written and tested by using ope

good to know it works with you , would you up vote the answer

I think you can convert image to black and while before executing the laplacian function . note the image is degraded so

You can try watershed to segment the image into pieces see the following link Watershed

Why there are two versions of openCV 3.x and 2.4.xx ? I 'm still confused , which one should I select , the two versions seems to be active , is there any plan to stop one of them , what is the rule used to select which version is suitable for my application.

The images are not attached , please add it again

You may find the answer in the following links

Detect corner of paper sheet

or here

OpenCV C++/Obj-C: Detecting a sheet of paper / Square Detection

you can do the following checking to detect if there is intersection between the two rectangles or not

BOOL IsOverLap(RECT A, RECT B)
{
    //return true if there is overlapping between the two rectangles
    return ! (A.top > B.bottom || A.bottom < B.top || A.left > B.right || A.right < B.left);
}

Edit 26/12/2016

And here it is the implemetation by using cv::Rect

BOOL IsOverLapCV(Rect A, Rect B)
{
    //return true if there is overlapping between the two rectangles
    return ! (A.y > (B.y + B.height) || (A.y + A.height) < B.y || A.x > (B.x + B.width) || (A.x + A.width) < B.x);
}