New installation procedure: Got rid of anaconda and switch to uv project manager (much faster, smarter, lighter, flexible all around) Much more simple opensim installation, now available on Pypi (not only conda) Support for Python 3.13 and dropped support for Python 3.10 Lighter install with PySide6-essential instead of PySide6. Clearer Go further section: pass a dictionary instead of updating the Config.toml file. This installation procedure is much simpler and lighter: a full installation, Python and OpenSim included, can take less than 2 GB (instead of 4 GB or more). For the old souls, the old procedure still works. Filtering: New option: filter_IK. Should help for further force estimation New filter: acc_minimizing (Whittaker-Henderson). Inspired from the AddBiomechanics one, but with a more intuitive "cut-off frequency" parameter instead of "pose regularization" (pose_regularization = (2π fc)²). Produces smooth velocities and accelerations, which is important for force estimations but blunts the peaks. Recommended on IK rather than triangulated marker trajectories. Reminder of the supported filters: butterworth, acc_minimizing, kalman, one_euro, gcv_spline, gaussian, LOESS, median, butterworth_on_speed Updated the trc_filter.py Utility script and changed it to trc_mot_filter.py Lower-body mode Set pose_model = 'lower_body' in Config.toml. Effectively runs HALPE_26 but ignore upper-body keypoints. To support marker augmentation and kinematic optimization, we recreate the shoulder points: Hip + 0.53 m (Y direction) + 0.1 m (Hip-to-Hip direction) Simpler and more robust compute_height function. Fastest and slowest frames are not excluded anymore, we just exclude the 50% most extreme values before calculating the mean height. We also exclude the frames where the knee and hip angles are above 90° (not reliable) instead of 135° before. Also works for the lower-body: height = leg_length / 0.485 (Winter, 2009) Full Changelog: https://github.com/perfanalytics/pose2sim/compare/v0.10.43...v0.10.44

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