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https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
331292a992
* feat(mmdet3d): test pointpillars and centerpoint on ort, openvino and trt passed * fix(centerpoint): mvx_two_stage input error * fix(review): remove mode decorator * fix(mmdet3d): review advices * fix(regression): update mmdet3d.yml and test ort/openvino passed * unittest(mmdet3d): fix * fix(unittest): fix * fix(mmdet3d): unittest * fix(mmdet3d): unittest * fix(CI): remove mmcv.Config * fix(mmdet3d): unittest * fix(mmdet3d): support torch1.12 * fix(CI): use bigger point cloud file * improvement(mmdet3d): align backend outputs with torch * fix(mmdet3d): remove useless * style(mmdet3d): format code * style(mmdet3d): remove useless * fix(mmdet3d): sync vis_task * unittest(mmdet3d): add test * docs(mmdet3d): add docstring * unittest(ci): add unittest data * fix(mmdet3d): review advices * feat(mmdet3d): convert fail * style(mmdet3d): docstring * style(mmdet3d): docstring
25 lines
703 B
Python
25 lines
703 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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default_scope = 'mmdet3d'
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default_hooks = dict(
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timer=dict(type='IterTimerHook'),
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logger=dict(type='LoggerHook', interval=50),
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param_scheduler=dict(type='ParamSchedulerHook'),
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checkpoint=dict(type='CheckpointHook', interval=-1),
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sampler_seed=dict(type='DistSamplerSeedHook'),
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visualization=dict(type='Det3DVisualizationHook'))
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env_cfg = dict(
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cudnn_benchmark=False,
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mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
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dist_cfg=dict(backend='nccl'),
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)
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log_processor = dict(type='LogProcessor', window_size=50, by_epoch=True)
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log_level = 'INFO'
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load_from = None
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resume = False
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# TODO: support auto scaling lr
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