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PyTorch Implementation of Realtime Multi-Person Pose Estimation project.
A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a facial landmark detector and reconstruction tool, utilizing deep learning to identify precise geometric points on human faces from image datasets. The library allows for the selection of specific detection backends to balance accuracy and processing speed. It supports the integration of precomputed bounding box files, which enables the system to bypass the initial detection phase and proceed directly to landmark extraction. The toolkit includes capabilities for batch image p
Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).
A PyTorch Implementation of FaceBoxes
The main features of zisianw/faceboxes.pytorch are: Computer Vision Models, Facial, Action and Pose Recognition.
Projects with overlapping indexed features include: kenshohara/3d-resnets-pytorch — This project is a PyTorch implementation of 3D residual networks designed for video action recognition. It provides a… ericsun99/shufflenet-v2-pytorch — Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402). 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a… davexpro/pytorch-pose-estimation — PyTorch Implementation of Realtime Multi-Person Pose Estimation project. aaltovision/dgc-net — A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network". nvidia/flownet2-pytorch — Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.