lzylzylzy123456
lzylzylzy123456
orin nx是有输出的,是不是MNN版本太低了。
期待TensorRT版本,我有一个小疑问,请问预估能在Nvidia什么型号上的边缘设备进行25ms的推理呢?Orin Nx、Xavier Nx、Orin Nano?最后再次感谢你们精彩的工作!
I have encountered this problem. Have you encountered it before? Traceback (most recent call last): File "main_open_world.py", line 366, in main(args) File "main_open_world.py", line 290, in main model, criterion, data_loader_train,...
> Yes, that's the case! An image may contain only instances that do not belong to any valid classes during one specific task, then all the instances (annotations) in the...
> Have you successfully reproduced OW-DETR before? I successfully ran through OWOD, but I was unable to run through OW-DETR, as the issuer stated, in open_world.py seems to have triggered...
  The first image shows the task classification of OW-DETR, and the second image shows the task classification of OWOD. After replacing the task classification of OW-DETR with the...
> >   The first image shows the task classification of OW-DETR, and the second image shows the task classification of OWOD. After replacing the task classification of OW-DETR...
> >   The first image shows the task classification of OW-DETR, and the second image shows the task classification of OWOD. After replacing the task classification of OW-DETR...
What I mean by segmentation here is data segmentation
> In OW-DETR, the authors declared that they used the replay mathod to prevent the model from catastrophically forgetting what it have learnt, but I cannot find the corresponding codes...