For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. For more details, please refer to our ...
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