Computer Vision News - February 2023

33 SpectrAI criterion: L1 # criterion [L1/'L2 / MSE'/'Cross Entropy'/'Binary Cross Entropy'] Preprocessing: spectral _ crop _ start: 0 # start index for spectral crop window spectral _ crop _ end: 500 # end index for spectral crop window background _ subtraction: 'None' # spectral background subtraction [None/'Automatic Least Squares'/'3rd Order Polynomial'/'5th Order Polynomial'/'Minimum Value Offset'] data _ normalization: 'Max Value' # spectral normalization [None/'Max Value'/'Area Under The Curve'] Data _ Augmentation: horizontal _ flip: 1 # horizontal flip (images) vertical _ flip: 1 # vertical flip (images) rotation: 1 # rotation (images) random _ crop: 1 # random crop (images) spectral _ shift: 0.1 # spectral shift (spectra, images) spectral _ flip: 1 # spectral flip (spectra, images) spectral _ background: 0 # add spectral background signal (spectra, images) mixup: 1 # mixup (spectra, images) DataManager _ Options: data _ format: 'Image: H, W, C' # data format ['Image: H, W, C'/'Image: C, H, W'/Spectra] data _ directory: 'True' # is data input a directory [True] or a file [False] train _ input _ data: 'None' # path to training input data ('None' if N/A) val _ input _ data: 'None' # path to validation input data ('None' if N/A) test _ input _ data: 'None' # path to testing input data ('None' if N/A) train _ target _ data: "test _ images/cells/" # path to training target data ('None' if N/A) val _ target _ data: 'None' # path to validation target data ('None' if N/A)