Does Deepstream support plugin layer ?

hi

I have already successfully build the inference engine from prototxt which include plugin layers.Yes, I wrote he plugin layer class and plugin factory class. Now I would like to use Deepstream sdk to build a task. I found deepstream use the tensorrt .so as the lib to parse the prototxt. however it seems the addInferenceTask can not parse the plugin layer? What can i do to enable the deepstream to support plugin layer?

Hi, yuxiaoyuan,
We have the same problem with 2 network. In the first one, we has removed all custom layer from .prototxt, you need to create equation merge of tensorrt supported layer. If you can’t, then: With the second netowrk, we just create a deepstream plugin to using tensorrt to replace deepstream internal inference module. Deepstream hide pluginfactory which present in tensorrt caffeparser.

Hi,

As haifengli said, we don’t support plugin API in DeepStream TensorRT-based inference module.
To enable plugin support, please define a custom module via DeepStream plug-in mechanism.

Check our document for details:
>> 3.2 PLUG-IN MECHANISM

Thanks.