optimizer_config = dict() # 学习率策略 lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False) # runtime settings runner = dict(type='IterBasedRunner', max_iters=20000) # 保存 checkpoints checkpoint_config = dict(by_epoch=False, interval=500) evaluation = dict(int...
optimizer_config = dict() lr_config = dict(policy='poly', power=0.9, min_lr=0.0001, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=160000) checkpoint_config = dict(by_epoch=False, interval=16000) evaluation = dict(interval=16000, metric='mIoU') work_dir = '' gpu_...
来自官方的tools/train.py # Copyright (c) OpenMMLab. All rights reserved.importargparseimportcopyimportosimportos.pathasospimporttimeimportwarningsimportmmcvimporttorchimporttorch.distributedasdistfrommmcv.cnn.utilsimportrevert_sync_batchnormfrommmcv.runnerimportget_dist_info,init_distfrommmcv.utilsimport...
KeyError: 'dataset_type is not in the mmseg::dataset registry. Please check whether the value ofdataset_typeis correct or it was registered as expected. More details can be found athttps://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#import-the-custom-module Bug fix If yo...
('train', 1)] cudnn_benchmark = True optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005) optimizer_config = dict() # learning policy lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False) # runtime settings runner = dict(type='IterBased...
找到R-50-D8前缀的,如果模型不匹配就把config拿来一起用,图片尺寸如果不是非得保证全连接层一致,卷积层其实没那么严格,选一个和自己数据尺寸差不多的,这里是512 * 512 把预训练模型的路径配置好 3.3 官网参数含义 norm_cfg=dict(type='SyncBN',requires_grad=True)# 分割框架通常使用 SyncBNmodel=dict(type...