'''ocrnet_hrnetv2w48_ade20k'''
import os
from .._base_ import REGISTERED_SEGMENTOR_CONFIGS, REGISTERED_DATASET_CONFIGS, REGISTERED_DATALOADER_CONFIGS


# deepcopy
SEGMENTOR_CFG = REGISTERED_SEGMENTOR_CONFIGS['OCRNET_SEGMENTOR_CFG'].copy()
# modify dataset config
SEGMENTOR_CFG['dataset'] = REGISTERED_DATASET_CONFIGS['DATASET_CFG_ADE20k_512x512'].copy()
# modify dataloader config
SEGMENTOR_CFG['dataloader'] = REGISTERED_DATALOADER_CONFIGS['DATALOADER_CFG_BS16'].copy()
# modify scheduler config
SEGMENTOR_CFG['scheduler']['max_epochs'] = 130
# modify other segmentor configs
SEGMENTOR_CFG['num_classes'] = 150
SEGMENTOR_CFG['backbone'] = {
    'type': 'HRNet', 'structure_type': 'hrnetv2_w48', 'arch': 'hrnetv2_w48', 'pretrained': True, 'selected_indices': (0, 0),
}
SEGMENTOR_CFG['head'] = {
    'in_channels': sum([48, 96, 192, 384]), 'feats_channels': 512, 'transform_channels': 256, 'scale': 1, 'dropout': 0,
}
SEGMENTOR_CFG['auxiliary'] = {
    'in_channels': sum([48, 96, 192, 384]), 'out_channels': 512, 'dropout': 0,
}
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")