output_root: '../'
pytorch_data_dir: '/home/duong_nguyen/pytorch-data'
experiment_name: "unet_7classes"
log_dir: "france"
# experiment_name: "unet"
# log_dir: "potsdam"
azureml_logging: False
submitting_to_aml: False
full_name: ~

# Loader params
num_workers: 24
max_steps: 80000
batch_size: 16

num_neighbors: 7
dataset_name: "directory"
# dataset_name: "potsdam"

# Used if dataset_name is "directory"
dir_dataset_name: "corine"
dir_dataset_n_classes: 7

has_labels: False
# crop_type: "five"
crop_type: ~
crop_ratio: .5
res: 224
loader_crop_type: "center"

# Model Params
extra_clusters: 0
use_true_labels: False
use_recalibrator: False
model_type: "vit_small"
arch: "dino"
use_fit_model: False
dino_feat_type: "feat"
projection_type: "nonlinear"
#projection_type: linear
dino_patch_size: 8
granularity: 1
continuous: True
dim: 70
dropout: True
zero_clamp: True

lr: 5e-4
pretrained_weights: ~
use_salience: False
stabalize: False
stop_at_zero: True

# Feature Contrastive params
pointwise: True
feature_samples: 11
neg_samples: 5
aug_alignment_weight: 0.0

correspondence_weight: 1.0


# # Corine vit small 24/11/22
neg_inter_weight: 0.63
pos_inter_weight: 0.25
pos_intra_weight: 0.67
neg_inter_shift: 0.46
pos_inter_shift: 0.02
pos_intra_shift: 0.08

# # Corine vit small 11/09/22
# neg_inter_weight: 0.63
# pos_inter_weight: 0.25
# pos_intra_weight: 0.67
# neg_inter_shift: 0.46
# pos_inter_shift: 0.24
# pos_intra_shift: 0.36

# # IAROA vit small 1/31/22
# neg_inter_weight: 0.63
# pos_inter_weight: 0.25
# pos_intra_weight: 0.67
# neg_inter_shift: 0.46
# pos_inter_shift: 0.12
# pos_intra_shift: 0.18

# Potsdam vit small 1/31/22
# neg_inter_weight: 0.63
# pos_inter_weight: 0.25
# pos_intra_weight: 0.67
# neg_inter_shift: 0.46
# pos_inter_shift: 0.02
# pos_intra_shift: 0.08

# Cocostuff27 vit small 1/31/22
#neg_inter_weight: 0.63
#pos_inter_weight: 0.25
#pos_intra_weight: 0.67
#neg_inter_shift: 0.66
#pos_inter_shift: 0.02
#pos_intra_shift: 0.08


## Cocostuff27 10/3 vit_base

#neg_inter_weight: 0.1538476246415498
#pos_inter_weight: 1
#pos_intra_weight: 0.1
#
#neg_inter_shift: 1
#pos_inter_shift: 0.2
#pos_intra_shift: 0.12


## Cocostuff27 10/3 vit_small
#neg_inter_weight: .63
#pos_inter_weight: .25
#pos_intra_weight: .67
#
#neg_inter_shift: .16
#pos_inter_shift: .02
#pos_intra_shift: .08



## Cocostuff27 10/3 moco
#neg_inter_weight: .63
#pos_inter_weight: .25
#pos_intra_weight: .67
#
#neg_inter_shift: .26
#pos_inter_shift: .36
#pos_intra_shift: .32

#pos_inter_shift: .12
#pos_intra_shift: .18

## Cocostuff27
#neg_inter_weight: .72
#pos_inter_weight: .80
#pos_intra_weight: .29
#
#neg_inter_shift: .86
#pos_inter_shift: .04
#pos_intra_shift: .34

# Cityscapes 10/3

# neg_inter_weight: 0.9058762625226623
# pos_inter_weight: 0.577453483136995
# pos_intra_weight: 1

# neg_inter_shift: 0.31361241889448443
# pos_inter_shift: 0.1754346515479633
# pos_intra_shift: 0.45828472207


# Cityscapes
#neg_inter_weight: .72
#pos_inter_weight: .18
#pos_intra_weight: .46
#
#neg_inter_shift: .25
#pos_inter_shift: .20
#pos_intra_shift: .25


rec_weight: 0.0
repulsion_weight: 0.0

# CRF Params
crf_weight: 0.0
alpha: .5
beta: .15
gamma: .05
w1: 10.0
w2: 3.0
shift: 0.00
crf_samples: 1000
color_space: "rgb"

reset_probe_steps: ~

# Logging params
n_images: 5
scalar_log_freq: 10
checkpoint_freq: 50
val_freq: 100
hist_freq: 100


hydra:
  run:
    dir: "."
  output_subdir: ~
  #job_logging: "disabled"
  #hydra_logging: "disabled"