JOKER-JK
Aug. 2, 2019 05:47:21
Hi everyone,
I get lod1 and lod2 fbx models based on lod0 fbx model, the method to output them as one FBX file is putting them in three geo nodes, separately, and put three geo nodes in a subnet node,then output this subnet. In the FBX file, the name of each model would be the same as the name of geo node. My question is how to do this using PDG pipeline? The name of geo node should be different in every iteration, could anyone tell me how to do this?? thanks
EricSheng
Aug. 2, 2019 06:05:00
I want to know, too. besides, the ROP Geometry Output node is slow to cook, is there any in-process way to output FBX? I meant we can export geometry with python hou.Geometry.saveToFile() which is in-process and very fast to cook but sadly not work with FBX.
kahuna031
Aug. 3, 2019 06:11:45
I've faced the same issue, not sure it's ideal but my best idea is to make an hda that wraps the fbx generation. Create bgeo files for the lods, place them all in the same dir and then pass the dir to the hdaprocessor.
JOKER-JK
Aug. 4, 2019 21:55:32
kahuna031
I've faced the same issue, not sure it's ideal but my best idea is to make an hda that wraps the fbx generation. Create bgeo files for the lods, place them all in the same dir and then pass the dir to the hdaprocessor.
Oh, I haven't tried the hdaprocessor, could this solve the name issue? different names for each models?
JOKER-JK
Aug. 4, 2019 21:56:59
EricSheng
I want to know, too. besides, the ROP Geometry Output node is slow to cook, is there any in-process way to output FBX? I meant we can export geometry with python hou.Geometry.saveToFile() which is in-process and very fast to cook but sadly not work with FBX.
me neither, have no idea how to speed up fbx output
kenxu
Aug. 13, 2019 11:48:55
Hey guys, in H18, we have a “batchable” version of the HDA Processor, that spins up once, then is able to process multiple workitems without tearing the session down. In our recent tests it's about 10x faster for a lot of loads. Perhaps this would offer a way to do this more efficiently.
kahuna031
Aug. 13, 2019 14:03:04
kenxu
Perhaps this would offer a way to do this more efficiently.
Sure will. Thanks!