AI检测代码解析 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...
${CONFIG_FILE} \ --auto-scale-lr \ [optional arguments] 1. 2. 3. 4. 执行命令之后,会根据机器的GPU数量和训练的批次大小对学习率进行自动缩放,缩放方式详见线性扩展规则,比如:在 4 块 GPU 并且每张 GPU 上有 2 张图片的情况下 lr=0.01,那么在 16 块 GPU 并且每张 GPU 上有 4 张图片的情况下,...
AI代码解释 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...
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,...
optimizer = torch.optim.Adam(model.parameters(), lr=0.001) # 定义损失函数 criterion = nn.CrossEntropyLoss() # 训练模型 for epoch in range(num_epochs): for batch_idx, (data, target) in enumerate(train_loader): # 将数据转移到GPU上 ...
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=...
/home/group5/lzj/mmdetection/mmdet/datasets/utils.py:70: UserWarning: "ImageToTensor" pipeline is replaced by "DefaultFormatBundle" for batch inference. It is recommended to manually replace it in the test data pipeline in your config file. ...
type='AdamW', lr=0.001, betas=(0.95, 0.99), weight_decay=0.01), clip_grad=dict(max_norm=35, norm_type=2)) param_scheduler = [ dict( type='CosineAnnealingLR', T_max=32.0, eta_min=0.01, begin=0, end=32.0, by_epoch=True, ...
config is like this below. # Inherit and overwrite part of the config based on this config_base_='./rtmdet_m_8xb32-300e_coco.py'data_root='/mmdetection/workspace2/dataset/excavator/'# dataset roottrain_batch_size_per_gpu=4train_num_workers=2max_epochs=10stage2_num_epochs=1base_lr=...
'mmdet.core.hook.yolox_lrupdater_hook', 'mmdet.core.hook.yolox_mode_switch_hook', 'mmdet.core.hook', 'mmdet.core.post_processing.bbox_nms', 'mmdet.core.post_processing.matrix_nms', 'mmdet.core.post_processing.merge_augs', 'mmdet.core.post_processing', 'mmdet.core', 'mmdet3d.core....