摘要:
import numpy as np import open3d as o3d bin_file = "" xyz = np.fromfile(bin_filem, dtype= np.float32).reshape(-1,5)[:, 0:3] pcd = o3d.geometry.PointCl 阅读全文
摘要:
https://github.com/SmallMunich/nutonomy_pointpillars/blob/master/second/pytorch/models/pointpillars.py 阅读全文
摘要:
GitHub - HaohaoNJU/CenterPoint: TensorRT deployment for CenterPoint Lidar Detection Model. CenterPoint-TensorRT部署 - 知乎 (zhihu.com) 阅读全文
摘要:
https://zhuanlan.zhihu.com/p/654466989 阅读全文
摘要:
https://blog.csdn.net/weixin_43253464/article/details/120669293 https://zhuanlan.zhihu.com/p/594410108?utm_id=0 阅读全文
摘要:
https://blog.csdn.net/baller_Tionary/article/details/134080350 阅读全文
摘要:
https://blog.csdn.net/weixin_40826634/article/details/127836169 阅读全文
摘要:
常用的 3D 目标检测模型有: VoxelNet:基于卷积神经网络的模型,可以进行立体感知和目标检测。 PointPillars:利用点云数据进行立体感知和目标检测的模型。 AVOD(Average Viewpoint Feature Aggregation for 3D Object Detect 阅读全文
摘要:
https://mmdetection3d.readthedocs.io/zh-cn/latest/advanced_guides/supported_tasks/vision_det3d.html 阅读全文
摘要:
python实现 import os import struct import numpy as np from nuscenes.nuscenes import NuScenes from nuscenes.utils.data_classes import LidarPointCloud imp 阅读全文