Matteo Moro

Results 7 comments of Matteo Moro

> > > Hi, > > Yes, we extract 1 feature (the bottleneck of the AE) per point-cloud. Hi optas! When you talk about "1 feature per point-cloud", you mean...

I'm actually using yolov5L with batch size = 4, img size = [800,800] During inference in Pytorch with my 2080Ti I was using a batch size up to 16, with...

> > > you push 16 images at same time and get the inference time is 20ms per image? And you should note yolov5 is daynamic inpute. This is what...

Hi @enazoe , I'm currently trying to infer over 1 image of 800x800 with an i7 8th gen, NVIDIA GTX 2080Ti, 16GB Ram. My current environment is: - TensorRT-7.1.3.4 -...

Ok thanks @enazoe, but honestly I don't understand the reason. As you can see from the yolo_custom.cfg file: width, height and number of classes are correctly set. Furthermore the sample_detector.cpp...

Hi @enazoe, I'm still looking for solutions, but with no fortune, could you please give me any hints in order to find out what I'm doing wrong? Thanks in advance!

Hi @enazoe , yes I'm actually using yolov5-3.0. Finally I successfully loaded a model trained with my custom data and the relative number of classes, but I had to keep...