#0: Caffe, 1: TensorFlow, 2: ONNX, Default - 0
modelType = 2

# Net definition from Training frames work. Example "deploy.prototxt" from caffe or frozen binary protobuf with parameters from tensorflow
inputNetFile = "E:\TIDL_workshop\TIDL_import_tool_v14_updated\tidl_j7_01_00_00_00\ti_dl\utils\tidlModelImport\out\model.onnx"

# Output TIDL model with Net and Parameters
outputNetFile = "E:\TIDL_workshop\TIDL_import_tool_v14_updated\tidl_j7_01_00_00_00\ti_dl\utils\tidlModelImport\out\net.bin"

# Input and output buffer descriptor file for TIDL ivsion interface
outputParamsFile = "E:\TIDL_workshop\TIDL_import_tool_v14_updated\tidl_j7_01_00_00_00\ti_dl\utils\tidlModelImport\out\param"

# TIDL PC Reference executable file path for range collection. If not specified, uses from default location
tidlStatsTool = "E:\TIDL_workshop\TIDL_import_tool_v14_updated\tidl_j7_01_00_00_00\ti_dl\test\tidl_quant_stats_tool.out.exe"

# Bit depth for model parameters like Kernel, Bias etc; , Default - 8
numParamBits = 8

# Bit depth for Layer activatios; , Default - 8 , Max suported is 16. Any value > 8 is experimentel in the 00.08 release..
numFeatureBits = 8

# 0: Quantization method. Default : Non-power of two scale. 2- Power of 2 scales. can experiment with '3' (power of 2) for stable models
quantizationStyle = 2

# Scale factor of input feature, if the input range used in training is 0 to 1 and the same is passed as tansor range of 0 - 255 to TIDL then this parameters shall be 255
inQuantFactor = 128

# Format for input feature, 0 : 8bit Unsigned, 1 : 8bit Signed Default - 1
inElementType = 1

# Input tensors width
inWidth = 512

# Input tensors Height
inHeight = 336

# Input tensors Number of channels
inNumChannels = 3

# Fold Batch Normalization Layer into TIDL Lib Conv Layer
#foldBnInConv2D = 1

# Combine 2x2 with stride 2 Max Pool layer processing with previous convolution layer if possible
#foldMaxPoolInConv2D = 1

#Input File Format - 0 : Compressed Image (JPEG/PNG), 1: RAW Image, 2: Compressed Image List
inFileFormat = 0

# List of input tensor names in network to be imported. Will be usefull to import portion of network
#inDataNamesList = "input"

# List of output tensor names in network to be imported. Will be usefull to import portion of network
#outDataNamesList = "output"

# Enable / Disable Normalization on input tensor. Scale and mean values are applicable only if this is enabled
inDataNorm = 1

#Mean value needs to be subtracted for each channel of all input tensors
inMean = 94.61594, 94.85598, 93.67584

# List : Scale value needs to be multiplied after means subtract for each channel of all input tensors
inScale = 0.0001394 0.0001347 0.0001308

# List : Input tensor color format. RBG or BGR planar etc. Refer TIDL API guide for supported formats list
inDataFormat = 0

# Image resize type . Refer TIDL API guide for supported formats list
inResizeType = 0

# Image cropping is performed if resizeWidth > imWidth
resizeWidth = 512

# Image cropping is performed if resizeHeight > inHeight
resizeHeight = 336

Post processing on output tensor. 0 : Disable, 1- Classification top 1 and 5 accuracy, 2 – Draw bounding box for OD, 3 - Pixel level color blending
postProcType = 0

#Input tensors File for Reading
inData = "E:\TIDL_workshop\TIDL_import_tool_v14_updated\tidl_j7_01_00_00_00\ti_dl\utils\tidlModelImport\out\bgr_2.jpg"

# Number of input tensors to be processed from the input file
numFrames = 1