Marcos Luciano
Marcos Luciano
There are example codes in https://github.com/marcoslucianops/DeepStream-Yolo-Face https://github.com/marcoslucianops/DeepStream-Yolo-Pose
I have a different implementation with modelopt. EDIT: The results below is in a custom code for YOLO and YOLOv9-s Enabling the `QuantRepNCSPELAN4Chunk` (with few changes to act as module),...
I'm using torch quantization. Basically, I rewrote few things in the quantize and calibrate functions to use `max` with `mse` (from the modelopt functions), used `Quant` modules in `mtq.register`, and...
I won't set it public for now. I'm using in some projects I have. With the final changes, and removing the QuantRepNCSPELAN4 (same of your tests), it's a little fast...
are you using the DeepStream docker image?
I don't have this issue here.
Try to export the ONNX model without `--dynamic`.
Please use the correct exporter file (from `utils`) to export the model.