MediaPipe processed pose CSVs
收藏Zenodo2026-03-28 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.19296529
下载链接
链接失效反馈官方服务：
资源简介：
This upload contains MediaPipe Pose Landmarker 3D landmark outputs as CSV files, used for bias and error evaluation against Unity ground-truth joint trajectories in a controlled multi-camera grid setup.
Archive: mediapipe_processed_csv.zip (~30.3 MB). MD5: e10454e2f88c05aeb09531f53a71c36c
Layout after extraction (match the analysis repository under 02_mediapipe_processed/): mediapipe_processed_csv/ Y=0.5/ CapturedFrames_<X>_<Y>_<Z>.csv Y=1.0/ Y=1.5/ Y=2.0/
Each filename encodes camera position as CapturedFrames_{X}_{Y}_{Z} where the middle value is camera height in metres (0.5, 1.0, 1.5, or 2.0). CSV columns: frame_id, landmark, x, y, z, visibility, image_path (MediaPipe normalised / model space as produced by the batch pipeline).
These files are the intermediate layer between raw capture images and downstream statistics (joint-angle MAE, direction-angle analysis, etc.). Raw images and Unity synced_joint_positions.csv are not included in this archive; obtain GT and images separately if full reproduction is required.
Code and documentation: see the related GitHub repository (analysis pipeline, run.py, verify_paper_data.py, docs/REPRODUCTION.md).
提供机构：
Zenodo
创建时间：
2026-03-28
