I want to implement YoloV3 on my TX2 by using TensorRT.
I have already transfer Darknet model to Caffe model and implement YoloV2 by TensorRT.
I found TensorRT is not support upsample layer and I have referenced some information that it could replace upsample layer with deconvolution layer.
Is there any hint to me how to do it?
related post on jetson forum:
[i]We have caffe-to-TensorRT parser on Jetson.
We are not sure if each layer of YOLO3 is supported by TensorRT and parser.
Please check it with the information here:
If there is a layer doesn’t support by TensorRT yet, you can write your implement with our plugin API.
Here is an example for your reference: https://github.com/AastaNV/Face-Recognition[/i]