jittor.loss3d
这里是Jittor的 3d 损失函数 模块的API文档,您可以通过from jittor import loss3d
来获取该模块。
- class jittor.loss3d.ChamferLoss(reduction='mean', dims='BNC', bidirectional=False)[源代码]
A loss layer that computes the chamfer loss from pc1 to pc2.
- 参数:
pc1 (jittor array) – input point cloud
pc2 (jittor array) – input point cloud
reduction (str, optional) – reduction method in batches, can be ‘mean’, ‘sum’, or None. Default: ‘mean’.
dims (str, optional) – a string that represents each dimension, can be ‘[BNC]’ ([batch, number of points, xyz]), or ‘[BCN]’ ([batch, xyz, number of points]). Default: ‘BNC’.
Example:
>>> import jittor as jt >>> from jittor.loss3d import ChamferLoss >>> jt.flags.use_cuda = True >>> pc1 = jt.rand([10, 100, 3], dtype=jt.float32) >>> pc2 = jt.rand([10, 100, 3], dtype=jt.float32) >>> CF = ChamferLoss(dims='BNC', bidirectional=True) >>> cf = CF(pc1, pc2) >>> print('chamfer loss =', cf.item())
- class jittor.loss3d.EarthMoverDistance(*args, **kw)[源代码]
A loss layer that computes Earth Mover’s distance from pc1 to pc2. Only supports GPU.
- 参数:
pc1 (jittor array) – input point cloud
pc2 (jittor array) – input point cloud
reduction (str, optional) – reduction method in batches, can be ‘mean’, ‘sum’, or None. Default: ‘mean’.
dims (str, optional) – a string that represents each dimension, can be ‘[BNC]’ ([batch, number of points, xyz]), or ‘[BCN]’ ([batch, xyz, number of points]). Default: ‘BNC’.
Example:
>>> import jittor as jt >>> from jittor.loss3d import EarthMoverDistance >>> jt.flags.use_cuda = True >>> pc1 = jt.rand([10, 100, 3], dtype=jt.float32) >>> pc2 = jt.rand([10, 100, 3], dtype=jt.float32) >>> EMD = EarthMoverDistance(dims='BNC') >>> emd = EMD(pc1, pc2) >>> print('EMD =', emd.item())
- jittor.loss3d.chamfer_loss(pc1, pc2, reduction='mean', dims='BNC', bidirectional=False)[源代码]
return the chamfer loss from pc1 to pc2.
- 参数:
pc1 (jittor array) – input point cloud
pc2 (jittor array) – input point cloud
reduction (str, optional) – reduction method in batches, can be ‘mean’, ‘sum’, or None. Default: ‘mean’.
dims (str, optional) – a string that represents each dimension, can be ‘[BNC]’ ([batch, number of points, xyz]), or ‘[BCN]’ ([batch, xyz, number of points]). Default: ‘BNC’.
Example:
>>> import jittor as jt >>> from jittor.loss3d import chamfer_loss >>> jt.flags.use_cuda = True >>> pc1 = jt.rand([10, 100, 3], dtype=jt.float32) >>> pc2 = jt.rand([10, 100, 3], dtype=jt.float32) >>> cf = chamfer_loss(pc1, pc2, dims='BNC', bidirectional=True) >>> print('chamfer loss =', cf.item())
- jittor.loss3d.earth_mover_distance(pc1, pc2, reduction='mean', dims='BNC')[源代码]
Earth Mover’s distance from pc1 to pc2. Only supports GPU.
- 参数:
pc1 (jittor array) – input point cloud
pc2 (jittor array) – input point cloud
reduction (str, optional) – reduction method in batches, can be ‘mean’, ‘sum’, or None. Default: ‘mean’.
dims (str, optional) – a string that represents each dimension, can be ‘[BNC]’ ([batch, number of points, xyz]), or ‘[BCN]’ ([batch, xyz, number of points]). Default: ‘BNC’.
Example:
>>> import jittor as jt >>> from jittor.loss3d import earth_mover_distance >>> jt.flags.use_cuda = True >>> pc1 = jt.rand([10, 100, 3], dtype=jt.float32) >>> pc2 = jt.rand([10, 100, 3], dtype=jt.float32) >>> emd = earth_mover_distance(pc1, pc2, dims='BNC') >>> print('EMD =', emd.item())