val_evaluator = dict(type='Accuracy', topk=(1, 2)) # 注意这里类别数较少时需要调整。 # If you want standard test, please manually configure the test dataset test_dataloader = val_dataloader test_evaluator = val_evaluator 训练策略相关'../_base_/schedules/imagenet_bs256.py', # optimizer o...
ann_file='meta/val.txt', data_prefix='val', pipeline=test_pipeline), sampler=dict(type='DefaultSampler', shuffle=False), ) val_evaluator = dict(type='Accuracy', topk=(1, 5)) # If you want standard test, please manually configure the test dataset test_dataloader = val_dataloader test_...
sampler=dict(shuffle=False, type='DefaultSampler')) test_evaluator = dict(type='ConfusionMatrix') test_pipeline = [ dict(type='PackInputs'), ] train_cfg = dict(by_epoch=True, max_epochs=200, val_interval=1) train_dataloader = dict( batch_size=16, dataset=dict( data_root='data/cifar...
MMPreTrain是一款基于PyTorch的开源深度学习预工具箱,是OpenMMLab项目的成员之一 MMPreTrain的主要特性有: 支持多元化的主干网络与预训练模型 支持多种训练策略(有监督学习,无监督学习,多模态学习等) 提供多种训练技巧 大量的训练配置文件 高效率和高可扩展性 功能强大的工具...
'MMEngine': '0.8.5', 'MMCV': '2.0.1', 'MMPreTrain': '1.1.1+e95d9ac'} Other information I modify the config like this as tutorial: val_evaluator = [ dict(type='AveragePrecision'), dict(type='MultiLabelMetric', average='macro'), # class-wise mean ...
train'), ) val_dataloader = dict( batch_size=64, # 验证时没有反向传播,可以使用更大的 batchsize dataset=dict(data_root='mydata/imagenet/val'), ) test_dataloader = dict( batch_size=64, # 测试时没有反向传播,可以使用更大的 batchsize dataset=dict(data_root='mydata/imagenet/val'), )...
val_evaluator=dict(type='Accuracy',topk=(1,5))test_dataloader=val_dataloadertest_evaluator=val_evaluator 打开../_base_/schedules/imagenet_bs4096_AdamW.py文件,查看训练策略配置 optim_wrapper=dict(optimizer=dict(type='AdamW',lr=0.003,weight_decay=0.3),# 使用AdamW优化器# vit预训练专用配置param...
val_dataloader test_evaluator = val_evaluator # optimizer optim_wrapper = dict( optimizer=dict(type='SGD', lr=0.1, momentum=0.9, weight_decay=0.0001)) # learning policy param_scheduler = dict( type='MultiStepLR', by_epoch=True, milestones=[30, 60, 90], gamma=0.1) # train, val, ...
OpenMMLab CodeCamp 2023, Apply NOW! #1719 openedJul 20, 2023byfangyixiao18 Open Labels23Milestones0 LabelsMilestones New issue 184 Open586 Closed Author Label Projects Milestones Assignee Sort 👍👎😄🎉😕 ️🚀👀 [Bug] konflict between ReduceOnPlateauLR and val_evaluator ...
val_evaluator = dict( type='MultiTasksMetric', task_metrics=dict( tilt=[dict(type='Accuracy', topk=(1, 5,))], pan=[dict(type='Accuracy', topk=(1, 5,))], ), delete=True ) test_dataloader = val_dataloader test_evaluator = val_evaluator...