- Munich, Germany
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arctic Public
Forked from zc-alexfan/arcticThis is a repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.
Python Other UpdatedDec 12, 2023 -
HandOccNet Public
Forked from namepllet/HandOccNetOffical pytorch implementation of "HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network", CVPR 2022.
Python UpdatedApr 25, 2023 -
mmpose Public
Forked from open-mmlab/mmposeOpenMMLab Pose Estimation Toolbox and Benchmark.
Python Apache License 2.0 UpdatedMar 24, 2023 -
mmdetection Public
Forked from open-mmlab/mmdetectionOpenMMLab Detection Toolbox and Benchmark
Python Apache License 2.0 UpdatedMar 24, 2023 -
dex-ycb-toolkit Public
Forked from NVlabs/dex-ycb-toolkitA Python package that provides evaluation and visualization tools for the DexYCB dataset
Python GNU General Public License v3.0 UpdatedJan 18, 2023 -
freihand Public
Forked from ywchao/freihandA dataset for estimation of hand pose and shape from single color images.
Python UpdatedJan 18, 2023 -
manopth Public
Forked from hassony2/manopthMANO layer for PyTorch, generating hand meshes as a differentiable layer
Python GNU General Public License v3.0 UpdatedJan 18, 2023 -
pytorch3d Public
Forked from facebookresearch/pytorch3dPyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Python Other UpdatedNov 16, 2022 -
cvat Public
Forked from cvat-ai/cvatPowerful and efficient Computer Vision Annotation Tool (CVAT)
TypeScript Other UpdatedDec 8, 2021 -
CubiCasa5k Public
Forked from CubiCasa/CubiCasa5kCubiCasa5k floor plan dataset
Jupyter Notebook Other UpdatedMay 24, 2019 -
deep_sort_yolov3 Public
Forked from Qidian213/deep_sort_yolov3Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
Python GNU General Public License v3.0 UpdatedApr 25, 2019 -
emotion-recognition-neural-networks Public
Forked from isseu/emotion-recognition-neural-networksEmotion recognition using DNN with tensorflow
Python MIT License UpdatedOct 20, 2018 -
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This project is concerned in solving the Scheduling Problem (non-bipartite matching) using genetic algorithms