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您好 我想请问一下代码中在测试时对标签的difficulty划分为easy moderate hard的处理在哪一步呢,因为我尝试用smoke训练自己的数据集,可我自己的数据集与kitti label格式的截断遮挡参数不同,因此我想尝试调整从而修改easy moderate hard的推理判定,可是我找遍工程也没有找到关于这方面的处理,您方便指出吗,感谢! 补充以下一下,我的推理使用的是您给出的适配kitti的evaluate_object_3d_offline.cpp 感谢!
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您好,我有个问题,想请教一下您,在代码中出现了 subprocess.Popen('g++ -O3 -DNDEBUG -o evaluate_object_3d_offline evaluate_object_3d_offline.cpp', shell=True),但是在smoke库中,并没有找到相关的cpp文件,请问这个文件,在哪里
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evaluate_object_3d_offline.cpp 在KITTI官网可以下载,不过评估也有python实现的,这里可以使用 https://github.com/open-mmlab/mmdetection3d/blob/fe25f7a51d36e3702f961e198894580d83c4387b/mmdet3d/evaluation/functional/kitti_utils/eval.py 进行相应的修改与替换
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您好 我想请问一下代码中在测试时对标签的difficulty划分为easy moderate hard的处理在哪一步呢,因为我尝试用smoke训练自己的数据集,可我自己的数据集与kitti label格式的截断遮挡参数不同,因此我想尝试调整从而修改easy moderate hard的推理判定,可是我找遍工程也没有找到关于这方面的处理,您方便指出吗,感谢! 补充以下一下,我的推理使用的是您给出的适配kitti的evaluate_object_3d_offline.cpp 感谢!
The text was updated successfully, but these errors were encountered: