Adventures in CheapML for IoT
· One min read
I have probably bit off more than I can chew with this project.
What is hard (or time consuming) about this?
- Generating the testing/training data set. I ended up using a VLM to do the initial labelling, with manual overrides possible
- As I'm trying to run this with limited resources on a (RPI 4 with 4GB RAM) that means starting the ML models from scratch.
- Trying to leave something that is generalizable enough for other cameras in the house - or just give up and pay the $20/mo for Frigate/Scrypted Cloud.
New Things
- PyTorch -> ONNX -> TFLite -> Latest
- TFLite -
- ONNX Runtime -