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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
PRML algorithms implemented in Python
Multi-Joint dynamics with Contact. A general purpose physics simulator.
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
links to conference publications in graph-based deep learning
CoTracker is a model for tracking any point (pixel) on a video.
Metric depth estimation from a single image
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
3D mesh stylization driven by a text input in PyTorch
Code repository for Convolutional Pose Machines, CVPR'16
Data preparation and loader for AMASS
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
[NeurIPS 2024] Code release for "Segment Anything without Supervision"
Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
Code repository for the paper "On the Benefits of 3D Pose and Tracking for Human Action Recognition", (CVPR 2023)
Code for "The One Where They Reconstructed 3D Humans and Environments in TV shows" appearing in ECCV 2022.
A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
End-to-end Recovery of Human Shape and Pose with tensorflow 2.0
Data Preparation, Processing, and Visualization for MoVi Data
Official code for "There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks"