Comments (4)
AFAIK the dataset is delivered with train/test splits? What do you mean by divide?
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数据集我手动把ShapeNetCore.v2 数据集分为/train /val 两个文件夹下,然后可以运行了。我有一些疑问,如果我要检测自己数据集里面的关键点,我需要怎么构建数据集?因为我对这个ShapeNetCore的数据集不是很熟悉,不知道拿来训练的.h5包含什么信息。 如果我的数据集里面有深度图,物体对应mask ,还有模型.ply文件,可以用这个算法来生成关键点嘛?希望得到您的回复,万分感谢!
from skeletonmerger.
Inside .h5
is a collection of point clouds and their class labels, as documented.
Current Merger
is for per-object keypoint detection, since it is designed to give keypoints with correspondence in category level. It is not suitable for a localization task. If you have localized objects you can feed sampled point clouds into Merger
. You need to run some sampling (invoking open3d for example) on the .ply
model files to obtain point clouds.
Though, perhaps we can adapt Merger for keypoint detection in-the-wild with some modifications. If you have any idea about it you are welcome to talk about them here. (I suggest opening a dedicated issue for that.)
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Closing due to lack of activity in a month's period. Start another issue or reply to reopen if necessary.
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Related Issues (10)
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