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Studyproject for insect tracking in the M. Sc. Geoinformatics and Spatial Data Science

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studyproject_machine_learning

RGB Group

next steps

  • distribute tasks
  • shift bounding boxes to RGB stream
  • implement preprocessing ideas
  • parallel: train YOLO and compare results
    • train on raw RGB stream -> implement pipeline
    • after finished pipeline: train on preprocessed images

ideas preprocessing

  • picture subtraction
  • background subtraction
    • KNN-bs
    • MOG2
  • convert RGB in greyscale or HSV
  • delete different bands -> try and error (lower priority)
  • neighborhood operations
    • edge detection
  • optical flow

folder structure

  • 16mm_dvs-30_basler-70_combined_veryslow
  • insects
    • train
      • images
      • images_rgb
      • labels
      • labels_rgb
    • val
  • scripts
    • preprocessing
    • computer vision operations
    • yolo scripts ?
  • videos
  • yolo7

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Studyproject for insect tracking in the M. Sc. Geoinformatics and Spatial Data Science

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