YOLO3D-YOLOv4-PyTorch:YOLO3D-源码

上传者: 42162171 | 上传时间: 2021-07-22 15:56:14 | 文件大小: 12.56MB | 文件类型: ZIP
YOLO3D-YOLOv4-PyTorch 本文基于YOLOv4的PyTorch实现: 演示版 输入:鸟瞰图(BEV)地图,由3D LiDAR点云的高度,强度和密度编码。 输入尺寸: 608 x 608 x 3 输出:7度的对象的自由(7- DOF)的: (cx, cy, cz, l, w, h, θ) cx, cy, cz :中心坐标。 l, w, h :边界框的长度,宽度,高度。 θ :包围盒的航向角,以弧度为单位。 对象:汽车,行人,骑自行车的人。 特征 基于YOLOv4的实时3D对象检测 支持 张量板 镶嵌/切口增强训练 2.入门 2.1。 要求 pip install -U -r requirements.txt 有关和库的信息,请参阅其官方网站上的安装说明。 2.2。 资料准备 从下载3D KITTI检测数据集。 下载的数据包括: Velodyn

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