16 open-source projects similar to clcarwin/sphereface_pytorch, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Sphereface Pytorch alternative.
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
A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
Official implementation of GANimation. In this work we introduce a novel GAN conditioning scheme based on Action Units (AU) annotations, which describe in a continuous manifold the anatomical facial movements defining a human expression. Our approach permits controlling the magnitude of…
Pytorch implementation of FlowNet by Dosovitskiy et al.
Pytorch version of SfmLearner from Tinghui Zhou et al.
PyTorch Implementation of Realtime Multi-Person Pose Estimation project.
Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).
Deep Face Recognition in PyTorch
This project is a PyTorch implementation of 3D residual networks designed for video action recognition. It provides a spatiotemporal architecture that analyzes both spatial frames and temporal motion to classify human activities within video clips. The system includes a distributed model training framework to accelerate learning across multiple compute nodes. It supports the deployment and fine-tuning of pre-trained model weights, allowing the adaptation of existing networks to specific new datasets. The codebase covers the full pipeline for spatiotemporal learning, including video dataset p
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
PyTorch module to use OpenFace's nn4.small2.v1.t7 model
facenet-pytorch is a facial recognition library for PyTorch that provides pretrained neural networks for detecting faces and extracting facial embeddings. It includes an MTCNN face detector for locating faces and landmarks, alongside an InceptionResnet face encoder to convert facial images into high-dimensional vectors for identity verification. The project provides tools for identity recognition by comparing facial embeddings using cosine similarity. It also supports facial video tracking to maintain identity consistency across consecutive frames and allows for the fine-tuning of pretrained
This repository is the PyTorch implementation for the network presented in:
Evolve to be more comprehensive, effective and efficient for face related analytics \& applications! (WeChat News) About the name: "face" means this repo is dedicated for face related analytics \& applications. "evolve" means unleash your greatness to be better and better. "LV" are capitalized…