class_weight 和 seg_pad_val 之间是否存在冲突？

base = [ '../base/default_runtime.py', '../base/schedules/schedule_20k.py', '../base/datasets/fire6dataset.py' ]

model settings

checkpoint_file = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/segnext/mscan_t_20230227-119e8c9f.pth' # noqa ham_norm_cfg = dict(type='GN', num_groups=32, requires_grad=True) crop_size = (512, 512) data_preprocessor = dict( type='SegDataPreProcessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True, pad_val=0, seg_pad_val=255, # noqa size=(512, 512), test_cfg=dict(size_divisor=32)) model = dict( type='EncoderDecoder', data_preprocessor=data_preprocessor, pretrained=None, …