memory usage is keep increasing at depth estimation stage

[CanCanZeng]

Hi, thank you for opening this great project! I tested this algorithm on ETH3d training data "kicker", the memory is keep increasing. My computer capacity is 32Gb, and at the end ACMMP use more than 30Gb memory. And in another bigger dataset, the program just killed half way.
I think this should not happen but I don't find the bug, can you help me? And this bug is at depth estimation stage, not depth fusion stage.

[CanCanZeng]

I find the causer, there are memory leak problems in readDepthDmb and readNormalDmb functions.
I create a merge pull request, please check it when you are free.

[ss2lyf]

I changed the code of function readDepthDmb and readNormalDmb in ACMMP.cpp as below:

int readDepthDmb(const std::string file_path, cv::Mat_<float> &depth)
{
    FILE *inimage;
    inimage = fopen(file_path.c_str(), "rb");
    if (!inimage){
        std::cout << "Error opening file " << file_path << std::endl;
        return -1;
    }

    int32_t type, h, w, nb;

    type = -1;

    fread(&type,sizeof(int32_t),1,inimage);
    fread(&h,sizeof(int32_t),1,inimage);
    fread(&w,sizeof(int32_t),1,inimage);
    fread(&nb,sizeof(int32_t),1,inimage);

    if(type != 1){
        fclose(inimage);
        return -1;
    }

    int32_t dataSize = h*w*nb;

    float* data;
    data = (float*) malloc (sizeof(float)*dataSize);
    fread(data,sizeof(float),dataSize,inimage);

    depth = cv::Mat(h,w,CV_32F);

    memcpy(depth.data,data,sizeof(float)*dataSize);
    free(data);

    fclose(inimage);
    return 0;
}

int readNormalDmb (const std::string file_path, cv::Mat_<cv::Vec3f> &normal)
{
    FILE *inimage;
    inimage = fopen(file_path.c_str(), "rb");
    if (!inimage){
        std::cout << "Error opening file " << file_path << std::endl;
        return -1;
    }

    int32_t type, h, w, nb;

    type = -1;

    fread(&type,sizeof(int32_t),1,inimage);
    fread(&h,sizeof(int32_t),1,inimage);
    fread(&w,sizeof(int32_t),1,inimage);
    fread(&nb,sizeof(int32_t),1,inimage);

    if(type != 1){
        fclose(inimage);
        return -1;
    }

    int32_t dataSize = h*w*nb;

    float* data;
    data = (float*) malloc (sizeof(float)*dataSize);
    fread(data,sizeof(float),dataSize,inimage);

    normal = cv::Mat(h,w,CV_32FC3);


    memcpy(normal.data,data,sizeof(float)*dataSize);
    free(data);


    fclose(inimage);
    return 0;
}