# 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 = "/home/root/TIDL_utils_bin/OD_SSD_JDetNet/ssd512x512_ds_PSP_dsFac_32_fc_0_hdDS8_1_kerMbox_3_1stHdSameOpCh_1/sparse/deploy.prototxt" inputParamsFile = "/home/root/TIDL_utils_bin/OD_SSD_JDetNet/ssd512x512_ds_PSP_dsFac_32_fc_0_hdDS8_1_kerMbox_3_1stHdSameOpCh_1/sparse/voc0712_ssdJacintoNetV2_iter_104000.caffemodel" outputNetFile = "/home/root/TIDL_utils_bin/tidl_net_jdetNet_512x512.bin" outputParamsFile = "/home/root/TIDL_utils_bin/tidl_param_jdetNet_512x512.bin" rawSampleInData = 1 preProcType = 4 sampleInData = "/home/root/TIDL_utils_bin/testvecs/input/pexels_2_515x512_frame.y" tidlStatsTool = "eve_test_dl_algo_ref.out" layersGroupId = 0 1 1 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 1 2 1 2 2 2 2 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 1 1 1 1