self.register_lr_hook(lr_config) # 就不展开了,总之就build_from_cfg,再根据优先级插入到self._hooks self.register_momentum_hook(momentum_config) self.register_optimizer_hook(optimizer_config) self.register_checkpoint_hook(checkpoint_config) self.register_hook(IterTimerHook()) self.register_logger_hoo...
frommmcvimportConfig# 从配置文件加载模型配置cfg=Config.fromfile('configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py')# 修改参数,例如修改学习率cfg.optimizer.lr=0.001# 将学习率设置为 0.001 1. 2. 3. 4. 5. 6. 7. Config.fromfile用于从配置文件读取配置内容,之后可以修改配置属性(如lr)。 步...
配置类(Config):在 OpenMMLab 算法库中,用户可以通过编写 config 来配置训练、测试过程以及相关的组件。 注册器(Registry):负责管理算法库中具有相同功能的模块。MMEngine 根据对算法库模块的抽象,定义了一套根注册器,算法库中的注册器可以继承自这套根注册器,实现模块的跨算法库调用。
optimizer = dict(type='Adam', lr=0.001, weight_decay=0.01)optimizer_config = dict(grad_clip=None)lr_config = dict(policy='CosineAnnealing', warmup=None, min_lr=1e-5)runner=dict(type='EpochBasedRunner', max_epochs=200) 5. 后记 本文简要介绍了点云语义分割这一任务和MMDet3D 的支持算法,...
runner and those hooks will be invoked automatically# 使用register_training_hooks函数,将以上文件配置到runner中# register_training_hooks函数让我们可以自己定以训练过程中的细节runner.register_training_hooks(lr_config=lr_config,optimizer_config=optimizer_config,checkpoint_config=checkpoint_config,log_config=...
Just add this line into your configuation file. (By the way, I am not sure what the default learning rate is, but my co-pilot told that it is 0.02) optimizer = dict(lr=0.02 / 10) # reduce learning rate by 10x. Thank you, brother. I lowered it by half at the beginning, and ...
I am using mmdetection by customizing the backbone of centernet with hrnet but when i train it with hrnet its loss is converging but showing evaltuion 0 .I tried to fix the issue but nothing happend. This is my config file: base = [ '../...
又一个大爆炸?MetaAI开源新的自监督预训练模型—DINOv2,无需fine-tuning,刷榜多个下游任务 下一篇 » ConvNeXt V2:适应Self-Supervised Learning,让CNN 再 “再一次强大”? 引用和评论 注册登录 获取验证码 新手机号将自动注册 登录 微信登录免密码登录密码登录 ...
cfg = Config.fromfile(args.config)# set cudnn_benchmark# 在图片输入尺度固定时开启,可以加速.一般都是关的,只有在固定尺度的网络如SSD512中才开启ifcfg.get('cudnn_benchmark',False): torch.backends.cudnn.benchmark =True# update configs according to CLI argsifargs.work_dirisnotNone:# 创建工作目...
optimizer=dict(type='Adam',lr=0.001,weight_decay=0.01)optimizer_config=dict(grad_clip=None)lr_config=dict(policy='CosineAnnealing',warmup=None,min_lr=1e-5)runner=dict(type='EpochBasedRunner',max_epochs=200) 5. 后记 本文简要介绍了点云语义分割这一任务和MMDet3D 的支持算法,欢迎大家使用 MMDet...