Skip to content

Latest commit

 

History

History
22 lines (16 loc) · 685 Bytes

FINALS_PRESENTATION.md

File metadata and controls

22 lines (16 loc) · 685 Bytes
Raw

What I did

  1. Augumented + organized the dataset to be compatible with YOLOv5
  2. Model conversion from PyTorch to Tensorflow to be used with TFLite
  3. Posibility to be ran in a C program
  4. Make the model be read from memory(+ contribution to TFLite repo?)
  5. Make it run on MXRT1020 without a camera(image from memory)
  6. Make the camera get images on the MXRT1020
  7. Full run on MXRT1020 with camera

Things to consider

Due to running out of time, try to test multiple models and draw graphs with each one of the state-of-the-art models instead of trying to get it working on MXRT.

25.05.2021

Steps 1 to 3. Make a full run on Linux. First, test YOLO to see how it runs