TDA2EXEVM: TIDL - tidlstasTool result matching

Hello,

I am using TIDL ,and try the imagenet classification model inside the caffe-jacinto-models.

And i use the TIDL model import tool and get the result.

the input  rawsample data is a data inside the folder : ..\..\test\testvecs\input\preproc_0_224x224.y  which is a aircraft

But the output of the TIDLstatsTool is not the same as the the one i run the same models on the caffe-jacinto(the output of the caffe jacinto is class # 403)

but the output of the statsTool is class #704 (I open stats_tool_out.bin to get this result)

here is my TIDL model import tool config_files .

-------------------------------------------------------------------------------------

# 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 = 50

numParamBits = 8

#inNumChannels = 3

Cnov2dKernelType = 0

inputNetFile          = "..\..\test\testvecs\config\caffe_jacinto_models\trained\image_classification\imagenet_jacintonet11v2\sparse\deploy.prototxt"
inputParamsFile   = "..\..\test\testvecs\config\caffe_jacinto_models\trained\image_classification\imagenet_jacintonet11v2\sparse\imagenet_jacintonet_iter_160000.caffemodel"
outputNetFile        = "NET.BIN"
outputParamsFile = "PRM.BIN"

rawSampleInData = 1
#sampleInData = "..\..\test\testvecs\input\000100_1024x512_bgr.y"
sampleInData = "..\..\test\testvecs\input\preproc_0_224x224.y"
tidlStatsTool = "..\quantStatsTool\eve_test_dl_algo.out.exe"

----------------------------------------------------------------------------------------------------------------------------

also i test the segmentation model but the result seems to be wrong either.

Did i miss something? 

or what should i do to get the same result??

Thank you in advance.