Comments (5)
不清楚你指的是哪个?如果你training 网络的话,应该每个epoch结束后,都会给你evaluate一下,然后你就可以看指标了。
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哦哦,明白了。多谢回答!另外,我有三个问题想请教下: 1)我无法跑你的训练,因为卡在了安装过程中utils/mm3d_pn2, 报错: 2)在你论文中,cvpr21的RGM方法为什么比DCP(2019)方法效果还要差呢? 3)最近在学习MVP_benchmark这个git工程,发现里面的test.py可以直接跑出结果,但看不到模型加载的代码。你知道在哪里进行模型加载的吗?貌似是在importlib.import_module?
- 安装那里报错,可能需要你配置好那个第三方的库,确实有一些麻烦,但是我的经验是不难配置。具体报错,可以google搜一下吧,估计是你环境配置的问题。
- 我看了一下,就是在mvp上测试出现了你说的现象。我理解,rgm 需要做一些更专业地调整,以便更好地fit virtial scans. DCP相对更简单鲁棒。
- 不是很清楚你的问题。code 写得比较匆忙,也没有很多注释,所以读起来可能不方便。加上是去年写的,我也记不清了。不过,如果能跑通,那就一定加载成功了,你尽力梳理一下逻辑,应该就清楚了。
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Related Issues (12)
- The dimension of the point descritptors HOT 2
- Generation of testing data on ModelNet
- MVP HOT 2
- Welcome update to OpenMMLab 2.0
- About code HOT 1
- cannot import name 'MVP_RG' from 'dataset' HOT 1
- Question about torch.svd HOT 1
- Running the network for a custom dataset HOT 2
- Pre-trained models
- Error while training (NameError: name 'furthest_point_sample' is not defined) HOT 1
- AssertionError: assert torch.all(torch.det(R)>0) HOT 1
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