Abstract: The 6D pose estimation for metal parts is essential in industrial robotic applications. Although the 6D pose estimation methods that rely on object-specific training have gained extensive ...
Abstract: This letter proposes a lightweight DNN model for robotic grasping applications with just 1.5 million architecture parameters. In the proposed model, the location of the target object is ...
If you have the Python extension installed, djlint-vscode will use the djLint installed in the currently activated Python environment, unless you have the djlint.useVenv extension setting disabled.
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 ...
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