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HOG-Descriptor malloc freed error I am trying to calculate the HOGDescriptors for a roi of an image but I am getting the

I am developing multiple ROIs and classifying the existence of an object (object detection). Now I have some fairly overlapping ROIs and want to reduce the number and wanted to use NMS for that. But I dont really how to go about that. Is there any c++ code available for NMS implemented.

Non Maximum Suppression I am developing multiple ROIs and classifying the existence of an object (object detection). Now

It returns 5

Mat to vector I am trying to copy elements from a Mat to a vector. I tried the below method, but the vector has weird va

yes CV_8UC1

Not an image per se. It is just a Mat object of labels generated from the DTree I trained. Specifically, it consists of

Find the most frequently occurring element in a row I have a vector of 5 mat objects each of size 60 x 1. I need to retu

I have a data and label Mat object and at each iteration, I need to generate a random subset of the data and labels. How should I do this?

How to get a random subset of Mat ? I have a data and label Mat object and at each iteration, I need to generate a rando

I am trying to calculate the hog descriptors of a vector of images but keep getting the following error:

HOG-Descriptor(76121,0x70000f807000) malloc: * error for object 0x106f55c10: incorrect checksum for freed object - object was probably modified after being freed. * set a breakpoint in malloc_error_break to debug

My Code for your reference:

void calcDescriptors(std::vector<Mat> &img_list, Mat &data){
    HOGDescriptor h;
    h.winSize = Size(128, 112);
    vector<float> descriptors;
    for(size_t k=0; k<img_list.size(); k++){
        h.compute(img_list[k], descriptors);
        data.push_back(descriptors);
    }
}

calcDescriptors(img_list, data);
cout<<"Creating and training dtree\n";
Ptr<ml::DTrees> model = ml::DTrees::create();
model->train(ml::TrainData::create(data, ml::ROW_SAMPLE, labels));

Allocator 'n' exceeds maximum supported size I am trying to create a training set for training a DTree but I keep gettin

On this line : -> Ptr<ml::DTrees> model = ml::DTrees::create(); model->train(ml::TrainData::create(data, ml

Thanks for the answer. Now I do have a data Mat object of size 388 x 7020 but I get the following error: libc++abi.dylib

HOG-Descriptor Malloc error I am trying to calculate the hog descriptors of a vector of images but keep getting the foll