Function loadNormalizedInputDatatoBuffptr

software/interface/xi_readwrite_util.cpp:196–327

int loadNormalizedInputDatatoBuffptr(const char *img_path, IO_DATA_TYPE *buff_ptr, float* mean_ptr, float* var_ptr, int height, int width, int img_channel,
		int resize_h, int resize_w, int inp_bw, int fbits_input)//, int normalize_enable)
{

	cv::Mat frame;

	frame = imread(img_path, 1);
	//frame = imread("/proj/sdxapps/refdes/ML_SoftwareTeam/Ristretto/ResNet-50-Tf_Q_5_11_test/input/camel.jpg", 1);
	if(!frame.data)
	{
		std :: cout << "[ERROR] Image read failed - " << img_path << std :: endl;
		return -1;
	}
	else
	{
		std :: cout << "[IMRDx] Image read : " << img_path << std :: endl;
	}

	int h_off = 0;
	int w_off = 0;

	cv::Mat cv_img[1], cv_cropped_img[1];

	if((resize_h != frame.rows) || (resize_w != frame.cols))
	{
		cv::resize(frame, cv_img[0], cv::Size(resize_w, resize_h));

		if(resize_h > height)
		{
			h_off = (resize_h - height) / 2;
			w_off = (resize_w - width) / 2;
			cv::Rect roi(w_off, h_off, width, height);
			cv_cropped_img[0] = cv_img[0](roi);
		}
		else
			cv_cropped_img[0] = cv_img[0];
	}
	else
	{
		frame.copyTo(cv_cropped_img[0]);
	}
	
#if DEBUG
	char path1[100];
	sprintf(path1, "data_out.txt");

	FILE* fp_img = fopen(path1, "r");

	if(fp_img == NULL)
	{
		fprintf(stderr, "\n** Cannot open mean file (or) No mean file : %s **\n", path1);
		//return NULL;
	}

	int size_of_input = height*width*img_channel;
	float *in_buf = (float *)malloc(size_of_input*sizeof(float));

	float float_val1;