Comments (2)
您好 @SC-shendazt
我们的算法本身不受场景大小的限制,计算资源足够即可。唯一的要求是训练样本中必须包含运动的物体,且运动物体占据的点的比例不能过少。因此静态室内场景的S3DIS是不适用的;Toronto 3D在训练前可能需要通过预处理筛选出包含有运动物体的帧。
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您好 @SC-shendazt 我们的算法本身不受场景大小的限制,计算资源足够即可。唯一的要求是训练样本中必须包含运动的物体,且运动物体占据的点的比例不能过少。因此静态室内场景的S3DIS是不适用的;Toronto 3D在训练前可能需要通过预处理筛选出包含有运动物体的帧。
非常感谢您的快速回复,就是想测试一下室外用无人机拍摄的城市点云,但是好像基本上跟SIDIS类似,都是属于静态的建筑物,植被,汽车等,可能就不适合了。
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Related Issues (10)
- KITTI SF: Downsample missing files HOT 2
- Question about the ground removal on SemanticKITTI and KITTIdet. HOT 2
- How long will this model take to finish one task? HOT 1
- Questions about correct order and paths when running the full pipeline HOT 5
- geometric constraints HOT 2
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