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PARAMS.md

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Guide to hyperparameters

  • data_root: folder containing image dataset
  • logging_root: folder to save all experiments in
  • train_test: specify train or val to specify which dataset to load
  • exp_name: name of experiment to specify
  • checkpoint: load checkpoint file if you want to continue training from a previous training session
  • max_epoch: maximum number of epochs
  • lr: learning rate
  • batch_size: batch size
  • reg_weight: regularizer factor
  • init_K: initialization Wiener filtering
  • use_weiener: true or false to learn wiener filtering damping factor K
  • resolution: int for resolution of point spread function
  • pixel_pitch: float for pixel size
  • focal_length: float for distance between phase mask and sensor
  • r_cutoff: null or an int for the radius of the aperture
  • refractive_idc: refractive index of phase mask
  • wavelength: float for wavelength of interest
  • init_lens: random, fresnel, plano for initializing the height map of the phase mask
  • single_image: boolean for testing optimizing phase mask over one image
  • download_data: boolean for downloading data (should be false after first download)