keypoint-estimation
There are 21 repositories under keypoint-estimation topic.
openpifpaf/openpifpaf
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
oarriaga/paz
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
GengDavid/pytorch-cpn
A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)
yuanyuanli85/FashionAI_KeyPoint_Detection_Challenge_Keras
Code for TianChi 2018 FashionAI Cloth KeyPoint Detection Challenge
xingyizhou/StarMap
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
ruiminshen/openpose-pytorch
PyTorch implementation of the OpenPose
hpc203/yolov5_pose_opencv
使用OpenCV部署yolov5-pose目标检测+人体姿态估计，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l
prasunroy/openpose-pytorch
:fire: OpenPose api wrapper in PyTorch.
sgawalsh/stvNet
6D pose estimation algorithm based on pvNet
prasunroy/rcnnpose-pytorch
:fire: Mask R-CNN and Keypoint R-CNN api wrapper in PyTorch.
solawen/FashionAI_KeyPoint_Detection_Challenge
Code for FashionAI KeyPoint Detection Challenge
amathislab/poet
End-to-end trainable model for pose estimation
Oigile/coco-keypoint-annotation
'easy way' to annotate images in COCO format for keypoints. Can be used to create a data set for pose estimation.
ajaichemmanam/simple_posenet_python
A simple and minimal posenet inference in python
Applied-Deep-Learning-Lab/Keypoints_HRNet_RK3588
Keypoint detection. Launch on RK3588. Training custom models.
ruiminshen/pyopenpose
Python components (preprocessor and postprocessor) of the OpenPose
etosworld/etos-simplepose
Real-time single person pose estimation.
ignaciohrdz/cardcut_cnn
🤖 🃏 Teaching a CNN to estimate how many cards are in a pack.
vishaal27/WorkoutEffectiveness
A machine learning model to classify workouts performed in videos and predict an effectiveness metric for evaluating the performed workout