caffe-0.17 mobilenet object detection TIDL import configuration

[mozcelikors]

I was able to train mobilenet, however I believe EVE cores are loaded too much so that there is no image.

1. I might be missing a step in configuring it for TIDL import tool.
   So far I have;

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

inputNetFile       = "deploy.prototxt
inputParamsFile       = "voc0712_mobiledetnet-0.5_iter_120000.caffemodel"
outputNetFile      = "NET_OD_mobilenet.bin"
outputParamsFile   = "PRM_OD_mobilenet.bin"

rawSampleInData = 1
preProcType   = 4
sampleInData = "trace_dump_0_768x320.y"
tidlStatsTool = "eve_test_dl_algo.out.exe"

Does anyone verify using mobilenet with TIDL OD usecase, if so could you share the import configuration please.

2. Additionally, I am using deploy.prototxt and voc0712_mobiledetnet-0.5_iter_120000.caffemodel from scripts/training/../initial folder as other folders do not have caffe model, is this correct?

Thanks in advance.