.hydra/config.yaml

seed: 0
files:
  dataset: /scratch/bezzam/celeba/celeba_adafruit_random_30cm_2mm_20231004_26K
  celeba_root: /scratch/bezzam
  psf: rpi_hq_adafruit_psf_2mm/raw_data_rgb.png
  diffusercam_psf: true
  n_files: null
  downsample: 2
  test_size: 0.15
  vertical_shift: -117
  horizontal_shift: -25
  crop:
    vertical:
    - 0
    - 525
    horizontal:
    - 265
    - 695
torch: true
torch_device: cuda
test_idx:
- 0
- 1
- 2
- 3
- 4
eval_disp_idx:
- 0
- 1
- 2
- 3
- 4
display:
  plot: true
  gamma: null
save: true
reconstruction:
  method: unrolled_admm
  unrolled_fista:
    n_iter: 20
    tk: 1
    learn_tk: true
  unrolled_admm:
    n_iter: 10
    mu1: 0.0001
    mu2: 0.0001
    mu3: 0.0001
    tau: 0.0002
  pre_process:
    network: null
    depth: 2
    nc: null
  post_process:
    network: null
    depth: 2
    nc:
    - 32
    - 64
    - 128
    - 256
trainable_mask:
  mask_type: AdafruitLCD
  initial_value: adafruit_random_pattern_20231004_174047.npy
  grayscale: false
  mask_lr: 0.001
  L1_strength: false
  train_mask_vals: true
  train_color_filter: true
  ap_center:
  - 58
  - 76
  ap_shape:
  - 19
  - 25
  rotate: 0
  vertical_shift: -80
  horizontal_shift: -60
  slm: adafruit
  sensor: rpi_hq
  flipud: true
  waveprop: false
  scene2mask: 0.3
  mask2sensor: 0.002
target: object_plane
simulation:
  grayscale: false
  output_dim: null
  object_height: 0.33
  flip: true
  random_shift: false
  random_vflip: false
  random_hflip: false
  random_rotate: false
  scene2mask: 0.25
  mask2sensor: 0.002
  sensor: rpi_hq
  snr_db: null
  downsample: null
  quantize: false
  max_val: 255
training:
  batch_size: 4
  epoch: 25
  eval_batch_size: 15
  metric_for_best_model: null
  save_every: 5
  skip_NAN: true
  crop_preloss: true
optimizer:
  type: Adam
  lr: 0.0001
  slow_start: false
  step: false
  gamma: 0.1
loss: l2
lpips: 1.0