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nematodes_demo, for the data science center away day

some python notebooks based on the MMdet tutorial to update existing mm detector coco networks by transfer learning to ultimately learn to count/predict nematodes, the eggs it hatched from and unhatched eggs from photos taken from petridishes.

people involved:

  • Noe Germakopoulos Furet
  • Julian Evans
  • Marc Galland
  • Frans van der Kloet

scripts

  • train_model.ipynb the main notebook that updates existing network and train new images with very limited number of samples
  • predict.ipynb a notebook to demonstrate the prediction using existing network
  • MMDet_Tutorial.ipynb the original notebook from the MMdetection library
  • DSC_DATA_AUG_test.ipynb initial version of augmenting data

Example of a prediction

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object detection of nematodes

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