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wandb_project: diffusercam
seed: 0
start_delay: null
files:
cache_dir: null
dataset: bezzam/DiffuserCam-Lensless-Mirflickr-Dataset-NORM
huggingface_dataset: true
huggingface_psf: psf.tiff
single_channel_psf: true
hf_simulated: false
split_seed: null
n_files: null
test_size: null
downsample: 2
downsample_lensed: 2
input_snr: null
psf_snr: -10
background_fp: null
background_snr_range: null
vertical_shift: null
horizontal_shift: null
rotate: false
flipud: true
flip_lensed: true
save_psf: true
crop: null
image_res: null
extra_eval: null
force_rgb: false
simulate_lensless: false
random_flip: false
random_rotate: false
random_shifts: false
alignment: null
torch: true
torch_device: cuda:2
device_ids:
- 2
- 3
- 0
- 1
measure: null
eval_disp_idx:
- 0
- 1
- 3
- 4
- 8
display:
plot: true
gamma: null
save: true
reconstruction:
init: null
method: unrolled_admm
skip_unrolled: false
init_processors: null
init_pre: true
init_post: true
psf_network: false
psf_residual: false
direct_background_subtraction: false
learned_background_subtraction: false
integrated_background_subtraction: false
down_subtraction: false
integrated_background_unetres: false
unetres_input_background: false
unrolled_fista:
n_iter: 20
tk: 1
learn_tk: true
unrolled_admm:
n_iter: 5
mu1: 0.0001
mu2: 0.0001
mu3: 0.0001
tau: 0.0002
trainable_inv:
K: 0.0001
multi_wiener:
nc:
- 64
- 128
- 256
- 512
- 512
pre_process:
network: null
depth: 4
nc:
- 32
- 64
- 116
- 128
delay: null
freeze: null
unfreeze: null
post_process:
network: UnetRes
depth: 4
nc:
- 32
- 64
- 128
- 256
delay: null
freeze: null
unfreeze: null
train_last_layer: false
compensation: null
compensation_residual: true
trainable_mask:
mask_type: null
initial_value: psf
grayscale: false
mask_lr: 0.001
optimizer: Adam
L1_strength: 1.0
target: object_plane
simulation:
grayscale: false
output_dim: null
object_height: 0.04
flip: true
random_shift: false
random_vflip: 0.5
random_hflip: 0.5
random_rotate: false
scene2mask: 0.1
mask2sensor: 0.009
deadspace: true
use_waveprop: false
sensor: rpi_hq
snr_db: 10
downsample: 8
quantize: false
max_val: 255
training:
batch_size: 4
epoch: 25
eval_batch_size: 4
metric_for_best_model: null
save_every: null
skip_NAN: true
clip_grad: 1.0
crop_preloss: false
optimizer:
type: Adam
lr: 0.0001
lr_step_epoch: true
cosine_decay_warmup: false
final_lr: false
exp_decay: false
slow_start: false
step: false
gamma: 0.1
loss: l2
lpips: 1.0
unrolled_output_factor: false
pre_proc_aux: false