So we are done with quantization and compilation of our custom model (landmark regression) based on HRNet.
(Small issue with compilation : #1478 )
Now we need to run it on the hardware. We looked into the documentation and it seems we need to use the Vitis AI runtime and library but we couldnt find any proper documentation for how to use it.
(I believe this is what we used for running the resnet50 example. For the pytorch resnet18 example we had these files for executing the xmodel as well:
we used to build these files and then execute the xmodel using the builds
So we are done with quantization and compilation of our custom model (landmark regression) based on HRNet. (Small issue with compilation : #1478 ) Now we need to run it on the hardware. We looked into the documentation and it seems we need to use the Vitis AI runtime and library but we couldnt find any proper documentation for how to use it. (I believe this is what we used for running the resnet50 example. For the pytorch resnet18 example we had these files for executing the xmodel as well:
we used to build these files and then execute the xmodel using the builds
can someone help us figure out how to make these and what the flow for this should be? @hanxue @eemars @quentonh @woinck