(self, pclouds, batch_size=50)
return np.vstack(reconstructions)
Convenience wrapper of self.reconstruct to get the FPS sampled points for a set of input point clouds.
        Args:
            pclouds (N, K, 3) numpy array of N point clouds with K points each.
Convenience wrapper of self.reconstruct to get the FPS sampled points for a set of input point clouds.
        Args:
            pclouds (N, K, 3) numpy array of N point clouds with K points each.
Convenience wrapper of self . reconstruct to get the FPS sampled points for a set of input point clouds . Args : pclouds ( N K 3 ) numpy array of N point clouds with K points each .
def get_reconstructions(self, pclouds, batch_size=50):
        """ Convenience wrapper of self.reconstruct to get the FPS sampled points for a set of input point clouds.
        Args:
            pclouds (N, K, 3) numpy array of N point clouds with K points each.
        """

        reconstructions = []
        idx = np.arange(len(pclouds))
        for b in iterate_in_chunks(idx, batch_size):
            rcon, _ = self.reconstruct(pclouds[b], compute_loss=False)
            reconstructions.append(rcon)
        return np.vstack(reconstructions)
def get_reconstructions ( self , pclouds , batch_size = 50 ) : reconstructions = [ ] idx = np . arange ( len ( pclouds ) ) for b in iterate_in_chunks ( idx , batch_size ) : rcon , _ = self . reconstruct ( pclouds [ b ] , compute_loss = False ) reconstructions . append ( rcon ) return np . vstack ( reconstructions )