'''mcibiplusplus_upernet_resnet101os8_vspw'''
import os
import copy
from .base_cfg import SEGMENTOR_CFG
from .._base_ import DATASET_CFG_VSPW_512x512, DATALOADER_CFG_BS16


# deepcopy
SEGMENTOR_CFG = copy.deepcopy(SEGMENTOR_CFG)
# modify dataset config
SEGMENTOR_CFG['dataset'] = DATASET_CFG_VSPW_512x512.copy()
# modify dataloader config
SEGMENTOR_CFG['dataloader'] = DATALOADER_CFG_BS16.copy()
# modify scheduler config
SEGMENTOR_CFG['scheduler']['max_epochs'] = 240
SEGMENTOR_CFG['scheduler']['optimizer']['params_rules'] = {'backbone_net': dict(lr_multiplier=0.1, wd_multiplier=1.0)}
# modify other segmentor configs
SEGMENTOR_CFG['num_classes'] = 124
SEGMENTOR_CFG['head']['fpn'] = {
    'in_channels_list': [256, 512, 1024, 2048], 'feats_channels': 1024, 'out_channels': 512,
}
SEGMENTOR_CFG['head']['decoder'] = {
    'pr': {'in_channels': 512, 'out_channels': 512, 'dropout': 0.1},
    'cwi': {'in_channels': 512, 'out_channels': 512, 'dropout': 0.1},
    'cls': {'in_channels': 2560, 'out_channels': 512, 'dropout': 0.1, 'kernel_size': 3, 'padding': 1},
}
SEGMENTOR_CFG['head']['context_within_image']['is_on'] = True
SEGMENTOR_CFG['head']['context_within_image']['use_self_attention'] = False
SEGMENTOR_CFG['inference'] = {
    'forward': {'mode': 'slide', 'cropsize': (512, 512), 'stride': (341, 341)},
    'tta': {'multiscale': [1], 'flip': False, 'use_probs_before_resize': True},
    'evaluate': {'metric_list': ['iou', 'miou']},
}
SEGMENTOR_CFG['work_dir'] = os.path.split(__file__)[-1].split('.')[0]
SEGMENTOR_CFG['logger_handle_cfg']['logfilepath'] = os.path.join(SEGMENTOR_CFG['work_dir'], f"{os.path.split(__file__)[-1].split('.')[0]}.log")