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Bevdet_occ bev增强,mIou仅为5.96 #266

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haoyuan1770 opened this issue Jun 29, 2023 · 1 comment
Open

Bevdet_occ bev增强,mIou仅为5.96 #266

haoyuan1770 opened this issue Jun 29, 2023 · 1 comment

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@haoyuan1770
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感谢作者做出的贡献,我利用给出的configs/bevdet_occ/bevdet-occ-r50-4d-stereo-24e.py,

1.仅使用bev增强,关闭图像增强,推理的mIou仅为5.96。配置如下:
data_config = {
'cams': [
'CAM_FRONT_LEFT', 'CAM_FRONT', 'CAM_FRONT_RIGHT', 'CAM_BACK_LEFT',
'CAM_BACK', 'CAM_BACK_RIGHT'
],
'Ncams':
6,
'input_size': (256, 704),
'src_size': (900, 1600),

# Augmentation
'resize': (0.0, 0.0),
'rot': (0.0, 0.0),
'flip': False,
'crop_h': (0.0, 0.0),
'resize_test': 0.00,

}
bda_aug_conf = dict(
rot_lim=(-0., 0.),
scale_lim=(1., 1.),
flip_dx_ratio=0.5,
flip_dy_ratio=0.5)

2.仅使用图像增强,结果比36.01高。配置如下:
data_config = {
'cams': [
'CAM_FRONT_LEFT', 'CAM_FRONT', 'CAM_FRONT_RIGHT', 'CAM_BACK_LEFT',
'CAM_BACK', 'CAM_BACK_RIGHT'
],
'Ncams':
6,
'input_size': (256, 704),
'src_size': (900, 1600),

# Augmentation
'resize': (-0.06, 0.11),
'rot': (-5.4, 5.4),
'flip': True,
'crop_h': (0.0, 0.0),
'resize_test': 0.00,

}
bda_aug_conf = dict(
rot_lim=(-0., 0.),
scale_lim=(1., 1.),
flip_dx_ratio=0.0,
flip_dy_ratio=0.0)

请问是否有问题还是我这边设置的不对。

@HuangJunJie2017
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@haoyuan1770 It seems ok. Check the loss. Or test the checkpoints in the early stage of training to check the overfitting problem.

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