Denis Rybalchenko
Denis Rybalchenko
same problem: ubuntu 20.04 Driver Version: 470.82.00 CUDA Version: 11.4 torch version '1.10.2+cu113' torchvision version '0.11.3+cu113'
Hello @NicolasHug thanks for answer! I reinstalled CUDA, now I have this version NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 torch version '1.10.2+cu113' torchvision version '0.11.3+cu113' But problem does...
sadness
```bash RUN \ rm /etc/apt/sources.list.d/cuda.list && \ rm /etc/apt/sources.list.d/nvidia-ml.list && \ apt-key del 7fa2af80 && \ apt-get update && apt-get install -y --no-install-recommends wget && \ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb && \...
@1093842024 may be yours cpu have no AVX2 instructions, or yours pytorch was compiled without avx2 support. Did you do warmup before time test?
@hegc I tried mv2 and mv3 but in my case mv2 was better
You should add extra channels for classification/regression/landmarks heads and change loss for separate bbox/landmarks regressions for each class and little change classification loss. You can see there how it works...
@stevenluzheng123456 everything that's you need is [mmdetection](https://github.com/open-mmlab/mmdetection)
Hello guys, thanks for the yours hard work. I will try to reproduce RT-DETR on mmdet3 too. I will write here, if I got some important results
Hello, thank you for the great work, I really fan of RT-DETR. RT-DETR also can be deployed via mmdeploy with TensorRT and onnxruntime backends. Openvino is not supperted natively, but...