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Baidu Rope3d detector based on yolov7

License: GNU General Public License v3.0

Shell 0.01% Python 1.55% Jupyter Notebook 98.44% Dockerfile 0.01%

yolov7_3d's Introduction

基于YOLOv7的单目3D检测方案

本方案尚未完成,当前工作: 3d指标正确评测

一、数据集

百度rope3d,路端数据

二、模型架构

先采用基础版的YOLOv7,后续可升级YOLOv7 E6E

三、损失函数

除原有的2d损失(cls, obj, bbox)之外,增加3dbbox损失

代码工作:

  1. build_targets

    根据loss选择,进行标签转换

  2. 3d bbox loss

    3d中心点投影偏移:L1

    深度:LaplacianAleatoricUncertaintyLoss

    3d尺寸:L1(DimAwareL1经常出现梯度问题)

    角度:L1

    后续有待优化

  3. 损失权重,需进行实验设置

四、训练过程

按照常规端到端训练方法进行训练和调参

五、初步效果

标签gt

pred

yolov7_3d's People

Contributors

wongkinyiu avatar alexeyab avatar rickyyy-zh avatar mkhoshbin72 avatar triple-mu avatar linaom1214 avatar taka-wang avatar spacewalk01 avatar ak391 avatar akashad98 avatar sashaalderson avatar alexeysi avatar raymondben avatar dmlon avatar dhiaeddine-oussayed avatar hran2004 avatar ian321 avatar kadirnar avatar kayce001 avatar kivanctezoren avatar m-gangloff avatar rohanpatankar926 avatar samsamhuns avatar hungtrieu07 avatar greatv avatar jpkoponen avatar ksnzh avatar linghu8812 avatar philipp-schmidt avatar superfast852 avatar

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