ST STM32Cube Quick Start Manual page 41

Convert each datasets in the right format (*.csv) accepted by NanoEdgeAI Studio tool (v3.2.1)
2.1
❑ The dataset previously generated using the datalogging firmware, classified as "Normal", "Anomaly", or as "Specific Cases to classify", must be used as
input dataset to create the new libraries for Anomaly Detection or N-Class Classification, to include inside the application FW.
❑ Before to use these datasets, use the batch file → "Utilities/HS_Datalog/ PROTEUS_batch_file_examples/HS-DL_NanoEdge_Conversion.bat
starting from the related folder containing at least one *.dat file plus two json configuration files.
❑ The python script will convert automatically the *.dat datalog stored in a Dataset folder, into a *.csv format in a folder named as Dataset_Exported, requiring
just the following instruction:
1. Input Acquisition
folder name
2. Data signal length
3. Output Acquisition
folder name
Label Dataset and Classifying to use with NanoEdgeAI Studio
Dataset
Use NanoEdge AI Studio tool
Dataset_Exported
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