- Toppan_LF_Project_closure_report_Oct_2022_final.pdf - Report prepared by Ngee Ann Poly Lecturers on the uRad's hardware configuration and setup, as well as feasibility test result done by the school staff
- Radar Environmet Setup Documentation (Deprecated from 28Aug23).pdf - The old environment setup guide used from Jan 2023 to Aug 23. Has serious non static issues. Deprecated from Aug23 as a perm structure was built by Uncle Quek
- record_and_save.py - (MLOps Related) The main code that perform live inference and data collection at the same time using the MLOps systems Wayne developed when he onboards Toppan.
- InferenceLogicMap.py - (MLOps Related) The dictionary that maps the logic flows of the inference engine. The inference engine uses a sequence of models to do predictions
- run_live_inference.py - (MLOps Related) Stand alone inference engine without ablity to do data collection, updating stops since Aug 23.
- metadata.py - (MLOps Related) Contains all the config information required to process data collection or to read model for inference engine deployment
- June23_InternAshley_Handover/ - Contains all the files that are related to Ashley's contribution. Here are information of each of the files:
- notebooks/Data_Preprocessing_newPipeline.ipynb - (MLOps Related) Data preprocessing source code. Convert point cloud data into relevant heatmaps
- notebooks/IVOD_Deeplearning_Trainer.ipynb - (MLOps Related) The first version of trainer, developed in June 23, by Wayne
- notebooks/IVOD_Deeplearning_Trainer_V2.ipynb - (MLOps Related) Second version of model trained, developed in Early July 23
- notebooks/Data_Deeplearning_Trainer_CompiledTensor_V3.ipynb - (MLOps Related) The third version of model trained, the final non-static setup uses this trainer. Developed in mid July 23
- IVOD_SplitDBSCAN/IVOD_SplitDBSCAN/bin/Debug/net7.0/IVOD_SplitDBSCAN.exe - (MLOps Related) This is an app essential to run the DBScan live inference done by Nicholas during his departure. run record_and_save.py followed by this executable file to visualize the prediction and raw plot points on a matplotlib diagram.
- requirements.txt - required pip installs
Python intepreter preferred: Python 3.10.11
Last updated 28 Aug 2023 by Teng Guang Way, Wayne