'''deeplabv3_resnet50os8_pascalcontext'''
import os
import copy
from .base_cfg import SEGMENTOR_CFG
from .._base_ import DATASET_CFG_PASCALCONTEXT_480x480, DATALOADER_CFG_BS16


# deepcopy
SEGMENTOR_CFG = copy.deepcopy(SEGMENTOR_CFG)
# modify dataset config
SEGMENTOR_CFG['dataset'] = DATASET_CFG_PASCALCONTEXT_480x480.copy()
# modify dataloader config
SEGMENTOR_CFG['dataloader'] = DATALOADER_CFG_BS16.copy()
# modify scheduler config
SEGMENTOR_CFG['scheduler']['max_epochs'] = 260
SEGMENTOR_CFG['scheduler']['optimizer'] = {
    'type': 'SGD', 'lr': 0.004, 'momentum': 0.9, 'weight_decay': 1e-4, 'params_rules': {},
}
# modify other segmentor configs
SEGMENTOR_CFG['num_classes'] = 60
SEGMENTOR_CFG['backbone'] = {
    'type': 'ResNet', 'depth': 50, 'structure_type': 'resnet50conv3x3stem',
    'pretrained': True, 'outstride': 8, 'use_conv3x3_stem': True, 'selected_indices': (2, 3),
}
SEGMENTOR_CFG['head'] = {
    'in_channels': 2048, 'feats_channels': 512, 'dilations': [1, 12, 24, 36], 'dropout': 0.1,
}
SEGMENTOR_CFG['inference'] = {
    'forward': {'mode': 'slide', 'cropsize': (480, 480), 'stride': (320, 320)},
    '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")