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DeepFaceLiveReal-time face swap for PC streaming or video calls
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Gwion🎵 strongly-timed musical programming language
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Fairmot[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
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FastPosepytorch realtime multi person keypoint estimation
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PlotoptixData visualisation in Python based on OptiX 7.2 ray tracing framework.
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Chatify DemoChatify Laravel Package Demo application
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hypersegHyperSeg - Official PyTorch Implementation
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tutorialTutorials to help you build your first Swim app
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DeepprunerDeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
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YaveYet Another Vulkan Engine
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MocapnetWe present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).
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PAN-PSEnetPytorch implementation of PSEnet with Pyramid Attention Network as feature extractor
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A2jCode for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
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AresdbA GPU-powered real-time analytics storage and query engine.
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MoPlugsMotionBuilder Extensions Pack
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