OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Updated
Aug 3, 2024 - C++
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
computer vision and sports
Image Test Time Augmentation with PyTorch!
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
Four landmark detection algorithms, implemented in PyTorch.
Multi-person Human Pose Estimation with HRNet in Pytorch
"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) & (COCO 2019 Human Keypoint Detection Challenge Winner) & (COCO 2019 Best Paper Award)
The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection
Papers for CNN, object detection, keypoint detection, semantic segmentation, medical image processing, SLAM, etc.
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)
Multi-person Human Pose Estimation with HigherHRNet in Pytorch, with TensorRT support
Fast and accurate Human Pose Estimation using ShelfNet with PyTorch
How to Train a Custom Keypoint Detection Model with PyTorch (Article on Medium)
2023年西交利物浦大学动云科技GMaster战队yolo 装甲板四点模型,能量机关五点模型,区域赛视觉识别板目标检测
Count pushups from video/webcam. Tech stack: Keypoint detection, BlazePose, action recognition.
YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.
2D keypoint detection with Pytorch Lightning and wandb
DALF is a joint image keypoint detector and descriptor for handling non-rigid deformations. It also works great under large rotations.
[IJCAI 2022] Code for the paper "Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation"
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