Samjith888's profile - activity

I created a xml file by using svm . In my test program i have loaded that xml file and i use svm predict, but it showing the error. how can i correct this ?

int main(){
HOGDescriptor hog;
vector<float> featureVector;
Ptr<ml::SVM> svm = ml::SVM::create();

Mat testdata, feature;


Mat img = imread("C:/Users/Sam/Desktop/Test/1.jpg");


    hog.compute(img, featureVector, Size(32, 32), Size(0, 0));


    feature = Mat(featureVector).reshape(1, 1);
    testdata.push_back(feature);


    svm->load("Features.xml");

    svm->predict(testdata);

}

Yes.. n1 image is grayscale.

Below is the code i wrote.

> import cv2 
> import numpy as np
> image = cv2.imread('67.png')
> cv2.imshow('original', image) hsv =
> cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
> hsv=  hsv[:, :, 1] n1=
> np.where(np.logical_and(80<=hsv,
> hsv<=180), 255, hsv) res =
> cv2.cvtColor(n1, cv2.COLOR_HSV2BGR)
> cv2.imshow('result', res)
> cv2.waitKey(0)

Got following error

cv2.error: OpenCV(4.1.0) c:\projects\opencv-python\opencv\modules\imgproc\src\color.simd_helpers.hpp:92: error: (-2:Unspecified error) in function '__cdecl cv::impl::anonymous-namespace'::CvtHelper<struct cv::impl::anonymous namespace'::Set<3,-1,-1>,struct cv::impl::A0x3b52564f::Set<3,4,-1>,struct cv::impl::A0x3b52564f::Set<0,5,-1>,2>::CvtHelper(const class cv::_InputArray &,const class cv::_OutputArray &,int)'

Invalid number of channels in input image: 'VScn::contains(scn)' where 'scn' is 1

I have found the issue can be solve by using img = np.array(img, dtype=np.uint8) . But its not working. Any help will be appreciated

No.. Its a RGB image.. and then iI converted it into hsv. After some processing , again I’m trying to convert the hsv in

got error while converting HSV2BGR Below is the code i wrote. > import cv2 > import numpy as np > image = cv2

got error while converting HSV2BGR Below is the code i wrote. > import cv2 > import numpy as np > image = cv2

got error while converting HSV2BGR Below is the code i wrote. > import cv2 > import numpy as np > image = cv2

Corrupt JPEG Data : 2 extraneous bytes before marker 0xd9 I'm training sets of images using tensorflow , where i'm also

which values have to be add into numpy.add_argument()? I got some code for human body detection using pedestrian detecti

@ berak : Objective Blind or No-Reference IQA- this all i want to use . I have a image and i want want to get the qualit

@ berak : Objective Blind or No-Reference IQA- this all i want to use . I have a image and i want want to get the qualit

@berak: Can i proceed with above code by correcting errors(by using libsvm)?

@berak : Yes , its using IplImage and diffcult to understand .Can u suggest the steps or code for checking the quality o

How can i calculate Image quality by using BRISQUE in Opencv 3.4.1? I have go through several tutorial about BRISQUE al

How can i calculate Image quality by using BRISQUE in Opencv 3.4.1? I have go through several tutorial about BRISQUE al

How can i calculate Image quality by using BRISQUE in Opencv 3.4.1? I have go through several tutorial about BRISQUE al

How can i calculate Image quality by using BRISQUE in Opencv 3.4.1? I have go through several tutorial about BRISQUE al

@berak: I can ,but i can't understand. Can u explain it by correcting the error?

@berak : how can i correct it ? and while debugging the errors shown in cv::pow(sigma, double(0.5), sigma); // sigma = s

Error : assertion failed (depth ==5 || depth==6) in cv::pow,fill c:\opencv\...\mathfuncs.cpp Getting assertion failed e

@berak : I have also used HOH with SVM to classify whether a image contains human or not .The images were captured from

@berak : The person.xml is not accessible now. Can you provide a new link please

Which Features extraction method will be more accurate for classifying the images based on their Clarity? I want to clas

@berak : Clarity check means that the image is classifying into good or bad based on their Clarity. Bad images will be b

Which Features extraction method will be more accurate for classifying the images based on their Clarity? I want to clas

@berak : your code works. but we can also use 'namespace fs = std::experimental::filesystem;' this concept

I wrote the following code to read the files from a directory and ' fs::path(p.path()).filename()' this function returns the filename..How can i use the imread function after that?

    string path = "C:/Users/Sam/Images2/";
   for (const auto & p : fs::directory_iterator(path))
   {
       cout << fs::path(p.path()).filename() << " " << " Image " << endl;
      Mat img = imread((fs::path(p.path()).filename()), IMREAD_GRAYSCALE);
}

@sturkmen : i have done those steps. I can read the file name by using '(fs::path(p.path()).filename())' , but can't pas