RTOS: TIDL object detection issue

# Default - 0
randParams         = 0 

# 0: Caffe, 1: TensorFlow, Default - 0
modelType          = 0 

# 0: Fixed quantization By tarininng Framework, 1: Dyanamic quantization by TIDL, Default - 1
quantizationStyle  = 1 

# quantRoundAdd/100 will be added while rounding to integer, Default - 50
quantRoundAdd      = 25

numParamBits       = 8 #10
# 0 : 8bit Unsigned, 1 : 8bit Signed Default - 1
inElementType      = 0 

inputNetFile       = "..\..\test\testvecs\config\caffe_jacinto_models\trained\image_detection\768x320\deploy.prototxt"  
inputParamsFile       = "..\..\test\testvecs\config\caffe_jacinto_models\trained\image_detection\768x320\voc0712_ssdJacintoNetV2_iter_120000.caffemodel"
outputNetFile      = "..\..\test\testvecs\config\tidl_models\jdetnet\Trained768x320\NET_OD.bin"
outputParamsFile   = "..\..\test\testvecs\config\tidl_models\jdetnet\Trained768x320\PRM_OD.bin"

rawSampleInData = 1
preProcType   = 4
sampleInData = "..\..\test\testvecs\input\trace_dump_0_768x320.y"
tidlStatsTool = "..\quantStatsTool\eve_test_dl_algo.out.exe"
layersGroupId =   0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 2 2 2 0
conv2dKernelType = 0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	

#include <stdio.h>
#include <stdint.h>

int main()
{
	FILE *fi, *fb, *fout;
	float data[4];
	float label;
	float dummy;
	uint8_t orig[768*320];
	uint8_t result[768*320*3];
	int x1, x2;
	uint16_t xmin, ymin, xmax, ymax;
	uint8_t value;
	uint8_t Red, Green, Blue;
	
	fi = fopen("768x320_TICarImgTest.y", "r");
	fb = fopen("stats_tool_out.bin", "rb");
	fout = fopen("TI_car_768x320.ppm", "w");
	
	fread(&orig[0], 768 * 320, sizeof(uint8_t), fi);
	
 	for(x1 = 0; x1 < 320; x1 ++)
	{
		for(x2 = 0; x2 < 768; x2 ++)
		{
			value = orig[(x1 * 768) +  x2];
			result[(x1 * 768 * 3) + (x2 * 3)]= value;
			result[(x1 * 768 * 3) + (x2 * 3) + 1] = value;
			result[(x1 * 768 * 3) + (x2 * 3) + 2] = value;			
		}
	} 
	
	for(x2 = 0; x2 < 20; x2 ++)
	{
		fread(&dummy, 1, sizeof(float), fb);
		
		fread(&label, 1, sizeof(float), fb);
		
		fread(&dummy, 1, sizeof(float), fb);
		
		fread(&data[0], 4, sizeof(float), fb);
		
		xmin = (uint16_t)(data[0] * 768);
		ymin = (uint16_t)(data[1] * 320);
		xmax = (uint16_t)(data[2] * 768);
		ymax = (uint16_t)(data[3] * 320);
		
		// printf("data[3] = %f, ymax = %d\n", data[3], ymax);
		
		// printf("%f - (%f, %f)  (%f, %f) - %f\n", label, data[0], data[1], data[2], data[3], dummy);
		printf("%d - (%d, %d)  (%d, %d) - %f\n\n", (uint8_t)label, xmin, ymin, xmax, ymax, dummy);
		
		if(label == 1)
		{
			Red = 255;
			Green = 0;
			Blue = 0;
		}
		
		if(label == 7)
		{
			Red = 0;
			Green = 255;
			Blue = 0;
		}
		
		if(label == 15)
		{
			Red = 0;
			Green = 0;
			Blue = 255;
		}
		
		for(x1 = xmin; x1 <= xmax; x1 ++)
		{
			result[(ymin * 768 * 3) + (x1 * 3)] = Red;
			result[(ymin * 768 * 3) + (x1 * 3) + 1] = Green;
			result[(ymin * 768 * 3) + (x1 * 3) + 2] = Blue;
		}
		
		for(x1 = xmin; x1 <= xmax; x1 ++)
		{
			result[(ymax * 768 * 3) + (x1 * 3)] = Red;
			result[(ymax * 768 * 3) + (x1 * 3) + 1] = Green;
			result[(ymax * 768 * 3) + (x1 * 3) + 2] = Blue;
		}
		
		for(x1 = ymin; x1 <= ymax ; x1 ++)
		{
			result[(x1 * 768 * 3) + (xmin * 3)] = Red;
			result[(x1 * 768 * 3) + (xmin * 3) + 1] = Green;
			result[(x1 * 768 * 3) + (xmin * 3) + 2] = Blue;
		}
		
		for(x1 = ymin; x1 <= ymax ; x1 ++)
		{
			result[(x1 * 768 * 3) + (xmax * 3)] = Red;
			result[(x1 * 768 * 3) + (xmax * 3) + 1] = Green;
			result[(x1 * 768 * 3) + (xmax * 3) + 2] = Blue;
		}
	}
	
	fprintf(fout, "P3 768 320 255 ");
	for(x1 = 0; x1 < 768 * 320 * 3; x1 ++)
		fprintf(fout, "%d ", result[x1]);
	
	fclose(fi);
	fclose(fb);
	fclose(fout);
	
	return 1;
}