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大神您好,我想问下,我从pcn完整点云数据集中,每个类别随机选200个模型,然后加上自己的30个点云模型作为一个类别valve,得到这样一个数据集; 采用adapoint模型进行训练, 其中输入是随机采样后的残缺点云,标签是下采样后的16384个点的数据; 训练过程如下图所示,自己添加的类别数据损失特别大, 模型平均fscore震荡; 这是训练策略问题还是数据问题呢?恳请大神解答,谢谢
The text was updated successfully, but these errors were encountered:
上述问题,已找到原因,就是自己的数据没做归一化
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大神您好,我想问下,我从pcn完整点云数据集中,每个类别随机选200个模型,然后加上自己的30个点云模型作为一个类别valve,得到这样一个数据集; 采用adapoint模型进行训练, 其中输入是随机采样后的残缺点云,标签是下采样后的16384个点的数据; 训练过程如下图所示,自己添加的类别数据损失特别大, 模型平均fscore震荡; 这是训练策略问题还是数据问题呢?恳请大神解答,谢谢
The text was updated successfully, but these errors were encountered: