Results analysis on personal dataset

[blackHorz]

Hi, I made some progress with the personal data training. It works pretty well, thanks for the awesome repository. I have extended dataset.py to accept other type of formats as well. However what I was wondering is if you already have script where you can visualise the eval results? I know this is straight forward, however In case if it is there then would be a great go.

Moreover what else i have found is the fact that for smaller features the network is not converging very good. I have already trained the network for 4000 epochs. Translation error does not goes below 2 and rotation is around 3 degrees. I have just used one capacitor ply file to train it. I am not sure if i include more data in the dataset (different types of capacitors?)

Any suggestions or hint would be appreciated:)

[yewzijian]

Hi, I don’t have a ready script as this work is quite a long time ago. I recommend Open3D or vtk for plotting.

For smaller features you can try changing the radius or number of points within the cluster. Those can be set in the program arguments.

On Wed, 11 Oct 2023 at 3:37 PM, Appifyers @.***> wrote:

Hi, I made some progress with the personal data training. It works pretty well, thanks for the awesome repository. I have extended dataset.py to accept other type of formats as well. However what I was wondering is if you already have script where you can visualise the eval results? I know this is straight forward, however In case if it is there then would be a great go.

Moreover what else i have found is the fact that for smaller features the network is not converging very good. I have already trained the network for 4000 epochs. Translation error does not goes below 2 and rotation is around 3 degrees. I have just used one capacitor ply file to train it. I am not sure if i include more data in the dataset (different types of capacitors?)

Any suggestions or hint would be appreciated:)

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[1404561326521]

嗨，我在个人数据训练方面取得了一些进展。效果很好，感谢这个很棒的存储库。我已经扩展了 dataset.py 以接受其他类型的格式。 但是我想知道您是否已经有可以可视化评估结果的脚本？我知道这很简单，但是如果有的话，那将是一个很好的尝试。

此外，我还发现，对于较小的特征，网络收敛效果不是很好。我已经对网络进行了 4000 次训练。平移误差不低于 2，旋转约为 3 度。我刚刚使用一个电容器层文件对其进行了训练。我不确定我是否在数据集中包含了更多数据（不同类型的电容器？）

任何建议或提示都将不胜感激:)

Hello, I only have point cloud model (ply), how do I construct my own data or dataset.py