mmsegmentation/configs/_base_/default_runtime.py

default_scope = 'mmseg'
env_cfg = dict(
    cudnn_benchmark=True,
    mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
    dist_cfg=dict(backend='nccl'),
)
vis_backends = [dict(type='LocalVisBackend')]
visualizer = dict(
    type='SegLocalVisualizer', vis_backends=vis_backends, name='visualizer')
log_processor = dict(by_epoch=False)
log_level = 'INFO'
load_from = None
resume = False

tta_model = dict(type='SegTTAModel')
[Refactor] Refacor default_hooks and train & val & test loops in configs 2022-06-08 14:28:35 +08:00			`default_scope = 'mmseg'`
			`env_cfg = dict(`
			`cudnn_benchmark=True,`
			`mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),`
			`dist_cfg=dict(backend='nccl'),`
			`)`
[Fix] Fix SegLocalVisualizer gt_sem_seg cuda tensor error (#1845) * [Fix] Fix SegLocalVisualizer gt_sem_seg cuda tensor error * fix ut error and add config visualizer dict * fix ut error 2022-08-01 15:03:01 +08:00			`vis_backends = [dict(type='LocalVisBackend')]`
			`visualizer = dict(`
			`type='SegLocalVisualizer', vis_backends=vis_backends, name='visualizer')`
[Fix] Add `by_epoch=False` for log processor (#1987) 2022-08-29 12:05:58 +08:00			`log_processor = dict(by_epoch=False)`
init commit 2020-07-07 20:52:19 +08:00			`log_level = 'INFO'`
			`load_from = None`
[Refactor] Refacor default_hooks and train & val & test loops in configs 2022-06-08 14:28:35 +08:00			`resume = False`
[Refactor] Support TTA (#2184) * tta init * use mmcv transform * test city * add multiscale * fix merge * add softmax to post process * add ut * add tta pipeline to other datasets * remove softmax * add encoder_decoder_tta ut * add encoder_decoder_tta ut * rename * rename file * rename config * rm aug_test * move flip to post process * fix channel 2022-12-30 13:46:52 +08:00
			`tta_model = dict(type='SegTTAModel')`