call_hook('before_run') # _init_model_weights self._init_model_weights() # 如果有checkpoints,则加载 modules = self.cfg.get('activation_checkpointing', None) # 如果加载了checkpoints,打印信息 if modules is not None: self.logger.info(f'Enabling the "activation_checkpointing" feature for ...
所以,最基层的纯粹的执行当前步的训练,应该就是在model自己的train_step中的 (通过查看代码,train_step是定义在mmdet的BaseDetector类的,mmdet3d用BaseDetector3D继承它,然后各类模型又继承我mmdet3d中的这个基类。另外,train_step其实是只执行forward,得到loss,在里面其实是执行了这样一行:losses = self(**data),而...
from mmengine.model import BaseModel from mmengine.runner import Runner from mmengine.registry import MODELS # 模型根注册器,你的自定义模型需要注册到这个根注册器中 @MODELS.register_module() # 用于注册的装饰器 class MyAwesomeModel(BaseModel): # 你的自定义模型 def __init__(self, layers=18, ...
optimizer = optim.Adam(model.parameters(), lr = learning_rate) # 实例化一个 Adam 优化器,详情见代码块下方 for t in range(500): y_pred = model(x) loss = nn.functional.mse_loss(y_pred, y) loss.backward() # 计算出 model.parameters() 中的所有参数(都是可学习参数)的梯度.grad optimize...
By use case DevSecOps DevOps CI/CD View all use cases By industry Healthcare Financial services Manufacturing Government View all industries View all solutions Resources Topics AI DevOps Security Software Development View all Explore Learning Pathways White papers, Ebooks, Webinars ...
model = init_detector(config_file, checkpoint_file, device='cuda:0') # 测试单张图片并展示结果 img = os.path.join(base_dir, r'demo\demo.jpg') # 或者 img = mmcv.imread(img),这样图片仅会被读一次 result = inference_detector(model, img) # 在一个新的窗口中将结果可视化 model.show_result...
__init__.py builder.py ops utils __init__.py version.py requirements resources tests tools .gitignore .pre-commit-config.yaml .readthedocs.yml LICENSE MANIFEST.in README.md model-index.yml requirements.txt setup.cfg setup.pyBreadcrumbs td3d /mmdet3d /models /necks / ngfc_neck.py Latest...
def init_gru_state(batch_size, num_hiddens, device): #隐藏状态初始化 return (torch.zeros((batch_size, num_hiddens), device=device), ) #定义GRU模型 def gru(inputs, state, params): W_xz, W_hz, b_z, W_xr, W_hr, b_r, W_xh, W_hh, b_h, W_hq, b_q = params ...
修改的部分主要有：数据集名称、data_root、ann_file 路径、class_names，num_classes(model->bbox_...
在mmdet3d中使用自有数据集需要将数据集转换成mmdetection的标准格式。这个格式包括图片、标注、类别等信息...