huichen98

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The problem is your voc_annotation.py file. In this file,you should modify your classes which belong to you!

感谢答复,我们还发现在角度预测上 sparsebev 要优于bevformer,bevformer采样点虽然很密集,但由于是固定点,似乎收益不大

> > I recommend you to use this script './tools/dist_test.sh ./projects/configs/bevformer/bevformer_base.py ./path/to/ckpts.pth 1' > > I have tried this command early time. But the problem still remains. You should first...

我取出数据集前1000帧,打开或者关闭增强,训练都没有报错,但是用作者提供的整个数据集训练,就会出现错误

config --> fp16 = dict(loss_scale="dynamic")