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Configuration error
Configuration error
seed: -1 | |
device: cuda | |
use_wandb: False | |
wandb_project: project_name # enter your project name here | |
wandb_entity: project_entity # enter your entity here | |
results_folder: results # if not use wandb, this is the folder where the results will be saved | |
resx: 768 | |
resy: 432 | |
example_config: "car-turn_winter.yaml" | |
save_model_starting_epoch: 900 | |
multiply_foreground_alpha: True | |
flip_p: 0.5 # probability of applying flip before cnn | |
n_aug: 6 # set to -1 to disable augmentation before CLIP | |
clip_affine_transform_fill: 0 # 0 for black, 1 for white | |
clip_model_name: "ViT-B/32" # ViT-B/16 | ViT-B/32 | ViT-L/14 | |
text_criterion: spherical # spherical | cosine | scaled_cosine (*1.2) | |
bootstrap_text: "" | |
bootstrap_scheduler: none | |
bootstrap_epoch: -1 # epoch to stop penalizing sparsity | |
use_negative_bootstrap: False # whether to use negative relevance | |
lambda_bootstrap_min: 0 | |
bootstrap_negative_text: [] # negative alpha - will ignore this | |
bootstrap_negative_map_threshold: 0.6 # penalizing only locations with high values in relevancy | |
bootstrapping_min_cover: 1 | |
relevancy_num_layers: 10 | |
lambda_screen: 1 | |
lambda_sparsity: 0.1 # lambda_sparsity * ( lambda_alpha_l0 * L0_loss + lambda_alpha_l1 * L1_loss ) | |
lambda_alpha_l0: 0.005 | |
lambda_alpha_l1: 0.01 | |
lambda_structure: 3 | |
lambda_bootstrap: 10 | |
lambda_clip: 1 # lambda_clip * ( lambda_comp_clip * L_comp + lambda_layer_clip * L_layer ) | |
lambda_composition: 1 | |
n_epochs: 3000 | |
gamma: 0.999 | |
min_lr: 0.00001 | |
lr: 0.0025 | |
optimizer: madgrad # [adam | radam | rmsprop | sgd] | |
# the following is relevant only for dip_backbones backbone | |
skip_n33d: 128 | |
skip_n33u: 128 | |
skip_n11: 4 | |
num_scales: 7 | |
log_images_freq: 500 | |
center_frame_distance: 2 | |
input_entire_atlas: True | |
entire_atlas_every: 75 | |
return_atlas_alpha: False | |
grid_atlas_resolution: 2000 | |
align_corners: False | |
crops_min_cover: 0.95 # 0.95 for foreground, 0.8 for background | |
masks_border_expansion: 30 | |
mask_alpha_threshold: 0.95 | |