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[Bug] BEVFusion无法训练 #2792
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小弟 你解决了吗 23333333333333 |
那个pkl是按照2.0生成的吗? 没改动的话(又是data_preprocessor出问题)应该是数据有问题? |
pkl没有按照2.0的生成。请问具体怎么解决的?或者给个解决博客? |
我重新适配一下版本号解决了。 |
@Gigalomanicx 你好,你复现出论文71.4 NDS (val) 的精度了吗? |
@ddk1246 您好,请问您复现的NDS (val)是多少呢 |
hello,请问你复现mmdet里bevfusion的性能了吗? |
我只复现出了LiDAR-Only 68.8NDS(val),LiDAR-Camera 69.3NDS(val)。没有复现出本仓库在README中标识的71.4。 |
好的,已看到,谢谢~ |
我复现的LiDAR-Camera是70.78 NDS,也没有达到71.4 NDS |
Hi, I also met this error: |
我复现的LiDAR-Camera,NDS是69.28,MAP是64.55,请问你的config是怎么设置的?我用的是源码提供的config,学习率和epoch都没改,只把batch-size从4改成了3。 |
Prerequisite
Task
I'm using the official example scripts/configs for the officially supported tasks/models/datasets.
Branch
main branch https://github.com/open-mmlab/mmdetection3d
Environment
mmcv 2.0.1
mmdet 3.0.0rc5
mmdet3d 1.3.0
mmengine 0.9.0
mmsegmentation 1.0.0
Reproduces the problem - code sample
bash tools/dist_train.sh projects/BEVFusion/configs/bevfusion_lidar_voxel0075_second_secfpn_8xb4-cyclic-20e_nus-3d.py 1
Reproduces the problem - command or script
bash tools/dist_train.sh projects/BEVFusion/configs/bevfusion_lidar_voxel0075_second_secfpn_8xb4-cyclic-20e_nus-3d.py 1
Reproduces the problem - error message
File "/share/temp/mmdetection3d/mmdet3d/models/data_preprocessors/data_preprocessor.py", line 118, in init
batch_augments=batch_augments)
TypeError: init() got an unexpected keyword argument 'non_blocking'
直接注释掉 non_blocking=non_blocking;
新的报错:
File "/share/temp/mmdetection3d/projects/BEVFusion/bevfusion/transformer.py", line 30, in init
super().init(**kwargs)
TypeError: init() missing 2 required positional arguments: 'attn_cfgs' and 'feedforward_channels'
Additional information
bug真多
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