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 ...
Abstract: This paper presents different methods to model permanent magnet materials within the 2D finite element simulation of electrical machines and discuss them. The modeling deals with both the ...
For reference, we used cuda/10.1 and cudnn/v7.6.5.32 for our experiments. We expect that slight variations in versions are also compatible. See DATA.md for instructions on how to download and set up ...
Renovations are among the highest-risk, highest-pressure undertakings in the hotel business. Every offline suite chips away ...
Creative Bloq on MSN
The apps every concept artist, illustrator, and comic creator swears by
In a bid to speed up that discovery for you, we’ve asked professional concept artists and illustrators which apps – some you ...
Creative Bloq on MSN
Why you should mix 3D art tools
Once you’ve grasped the basics of modelling methods and chosen what suits your projects best, you can block out scenes, place characters and props easily and then move on, using a 3D camera to set ...
Deep Learning-based Viewpoint Prediction Model and Influencing Attention Factors for Design Drawings
In order to meet the requirement of fine-grained viewpoint prediction for design drawings, a deep learning-based viewpoint prediction model is developed to achieve heat map generation, feature element ...
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