MagicSource

@grimoire Wonna consult another question. For those model doesn't need plugin at all, such as resnet50 which is totally normal model, is that possible to generate engine without the plugins?...

@grimoire Did u mean, if the model doesn't have a plugin, torch2trt will not generate engine with plugin? AFAIK, using onnx2trt convert resnet doesn't invoke any plugin in it's engine.

@grimoire I am not specific for resnet here, just take it as example. I want to know, it's that possible to build an engine with this tool without engine invoke...

@gdh1995 i think it's not need speed among different devices, just compare same model on same device, but before and after prune. That's enough convincing, otherwise not so convincing.

Why all called CenterNet

@hellochick Of course, that is only the inference code which works fine, but the training actually not works. If so, I'd better delete it.

@KleinYuan Thanks for your reply. This is the inference result. Just download the model and feed the image with point clouds. After fix some errors and logic error, got this...

@tianchengdw I didn't digger deep in this question, even the result is good the speed is still very slow.... we'd better using some more faster methods for 3d object perception....

@EvilPudding thanks for your reply! I mean a mininal example on loading fbx with ASSIMP, and vis animation in OpenGL. I search a lot but can not find such a...

I have exported to onnx: ``` onnxexp glance -m vits_baker_v1.onnx vits!? Namespace(model='vits_baker_v1.onnx', subparser_name='glance', verbose=False, version=False) Exploring on onnx model: vits_baker_v1.onnx Model summary on: vits_baker_v1.onnx ------------------------------------------- ir version: 7 opset_import: 11...