那么在这一层的build_from_cfg函数中,obj_cls指的是<class 'mmdet3d.datasets.nuscenes_dataset.NuScenesDataset'>,也就是要构建这个类,然后返回去。 再往里走看这个NuScenesDataset类的构造函数,它的基类是Custom3DDataset 而且这里面就有pipeline参数了,如果在图中它执行父类构
@DATASETS.register_module() class KittiDataset(Custom3DDataset): 报错如下: Traceback (most recent call last): File "tools/train.py", line 262, in <module> main() File "tools/train.py", line 225, in main datasets = [build_dataset(cfg.data.train)] File "/home/wangzheyuan/miniconda3/...
pipeline # set test_mode=False here in deep copied config # which do not affect AP/AR calculation later # refer to https://mmdetection3d.readthedocs.io/en/latest/tutorials/customize_runtime.html#customize-workflow # noqa val_dataset.test_mode = False datasets.append(build_dataset(val_dataset)...
build 模型,build 数据集 (有多少个 workflow 就 build 多少个数据集,比如如果 train 的过程中还进行 val 则表示有 2 个 workflow) ; 最后调用 mmdet.apis.train_detector ,传入刚才 build 好的 model,datasets,配置参数等。进入mmdet.apis.train_detector: 为每一个 workflow 对应的 dataset , build data_loa...
目前,MMDetection3D 模型部署可以通过 Model Converter 接口进行体验。如果需要集成 MMDeploy SDK 到你的项目,可能还需要等待一段时间,因为模型的前后处理模块尚未完全集成到SDK中。 以下是一个使用Model Converter接口进行模型转换的示例: python from mmdeploy.apis import build_task_processor, init_model from mmdepl...
In version 1.4, MMDetecion3D refactors the Waymo dataset and accelerates the preprocessing, training/testing setup, and evaluation of Waymo dataset. We also extends the support for camera-based, such as Monocular and BEV, 3D object detection models on Waymo. A detailed description of the Waymo ...
from mmdet3d.datasets import build_dataset File "/root/autodl-tmp/project/MSMDFusion/mmdet3d/datasets/init.py", line 1, in from mmdet.datasets.builder import build_dataloader File "/root/autodl-tmp/project/mmdetection/mmdet/datasets/init.py", line 2, in ...
Results on TUM RGB-D dataset Results on stereo KITTI Visual Odometry dataset ,模型 (model),训练策略 (schedule) 和运行时的默认设置 (default runtime)。 已经训练过的网络 pth: checkpoints/votenet_16x8_sunrgbd-3d-10class_20200620_230238-4483c0c0.pth结果...