Changelog

v0.8.0 (05/05/2023/)

Highlights

• Refactor evaluation for MvP, mvpose_tracking, mvpose and fourdag, sharing the same super-class.

• Add smpl visualization and unit test, based on minimal_pytorch_rasterizer. Multi-person and multi-gender are supported.

• Add mmdeploy for faster human perception.

New Features

• Add PriorConstraint optimizer for 3D keypoints, filtering out poorly quality bboxes and limbs.

• Add mask in smpl_data. The person whose mask is zero will not be plotted.

• Add function auto_load_smpl_data, it chooses a correct class when you forget of which type the npz file is.

• Add class Timer for recording average time consumption.

Refactors

• Refactor evaluation metrics including MPJPE, PA-MPJPE, PCK, PCP, mAP, and recall.

v0.7.0 (23/12/2022/)

Highlights

• Add mview_mperson_end2end_estimator for learning-based method.

• Add SMPLX support and allow smpl_data initiation in mview_sperson_smpl_estimator.

• Add multiple optimizers, detailed joint weights and priors, grad clipping for better SMPLify results.

• Add mediapipe_estimator for human keypoints2d perception.

New Features

• Add mview_mperson_end2end_estimator, performing MvP estimation on customized data.

• Add mediapipe_estimator, another alternative human keypoints2d perception method like mmpose_top_down_estimator.

• Add RemoveDuplicate keypoints3d optimizer to remove duplicate MvP keypoints3d predictions.

Refactors

• Refactor mview_sperson_smpl_estimator, compatible with SMPLX.

• Refactor SMPLify, add grad clipping, joint angle priors, loss-parameter mapping, per-parameter optimizers, and body part weights.

• Refactor evaluation for learning-based methods.

v0.6.0 (14/10/2022/)

Highlights

• Add 4D Association Graph, the first Python implementation to reproduce this algorithm

• Add Multi-view multi-person top-down smpl estimation

• Add reprojection error point selector

New Features

• Add 4D Association Graph, the first Python implementation to reproduce this algorithm

• Add Multi-view multi-person top-down smpl estimation

• Add structures for mview mperson kps3d/smpl estimator

• Add reprojection error point selector

Refactors

• Refactor Deformable and ProjAttn for MvP

v0.5.0 (01/09/2022/)

Highlights

• Support HuMMan Mocap toolchain for multi-view single person SMPL estimation

• Reproduce MvP, a deep-learning-based SOTA for multi-view multi-human 3D pose estimation

• Reproduce MVPose (single frame) and MVPose (temporal tracking and filtering), two optimization-based methods for multi-view multi-human 3D pose estimation

• Support SMPLify, SMPLifyX, SMPLifyD and SMPLifyXD

New Features

• Add peception module based on mmdet, mmpose and mmtrack

• Add Shape-aware 3D Pose Optimization

• Add Keypoints3d optimizer and multi-view single-person api

• Add data_converter and data_visualization for shelf, campus and cmu panoptic datasets

• Add multiple selectors to support more point selection strategies for triangulation

• Add Keypoints and Limbs data structure

• Add multi-way matching registry

• Refactor the pictorial block (c/c++) in python