The Free Motion Capture (FreeMoCap) system leverages bleeding-edge markerless
motion capture software (e.g. OpenPose, DeepLabCut, etc) to create a streamlined
‘one-click’ pipeline for 3D kinematic reconstruction.
This system works with arbitrary camera hardware and provides methods for synchronous recording of wired cameras (e.g. USB webcams) as well as the post-hoc synchronization of independent cameras (e.g. GoPros).
The FreeMoCap project emphasizes ease-of-use, with the eventual goal of developing a system that will allow a 14-year-old with no technical training and no outside assistance to recreate a research-grade motion capture system for less than 100 US Dollars.
Become a part of the community that's contributing to this software.
import cv2 aruco_dict = cv2.aruco.Dictionary_get(cv2.aruco.DICT_4X4_250) #note `cv2.aruco` can be installed via `pip install opencv-contrib-python` board = cv2.aruco.CharucoBoard_create(7, 5, 1, .8, aruco_dict) charuco_board_image = board.draw((2000,2000)) #`2000` is the resolution of the resulting image. Increase this number if printing a large board (bigger is better! Esp for large spaces! cv2.imwrite('charuco_board_image.png',charuco_board_image)
conda create -n freemocap-env python=3.7 activate freemocap-env pip install freemocap ipython import freemocap as fmc fmc.RunMe() #this is where the magic happens.