#### training dataset
bop_challange = False
bop_path = /mnt
dataset_name = SenseShift6D
training_data_folder = train_pbr_all
training_data_folder_2 = train 
val_folder = test
test_folder = test
second_dataset_ratio = 0.03125
num_workers = 8
train_obj_visible_theshold = 0.2 
general = True
brightness = B50
color_aug_prob = 0.0
####

#### network settings
BoundingBox_CropSize_image = 256

BinaryCode_Loss_Type = BCE 
mask_binary_code_loss = True 

use_histgramm_weighted_binary_loss = False 
fusion = False
# choose from [False, convnext_base, convnext_large]
convnext = convnext_large
####

#### check points
load_checkpoint=False
check_point_path=/ssd/dywoo/HiPose/hipose/6dof_pose_experiments/senseshift6d/checkpoints/
tensorboard_path=/ssd/dywoo/HiPose/hipose/6dof_pose_experiments/senseshift6d/tensorboard_logs/runs/
####


#### optimizer
optimizer_type = Adam
learning_rate = 0.0001
use_lr_scheduler = False
batch_size = 32
total_iteration = 38000

binary_loss_weight = 3
#### 


#### augmentations
#Detection_reaults = none

Detection_reaults = none

padding_ratio = 1.5
resize_method = crop_square_resize

use_peper_salt= False
use_motion_blur= False
aug_depth = False
aug_depth_megapose6d = False
interpolate_depth = False
shift_center = False
shift_from_center=False

#binary coding settings
divide_number_each_itration = 2
number_of_itration = 16

detector = FCOS
