Moykul / freemocap

Free like Freedom

This is all very much a work in progress! More to come!

(FYI - This still isn't really in a state that's usable for outside users yet 😅)

( We're working on it though! Stay tuned!)

Installation

• Open an Anaconda Prompt (in Windows, or any terminal on Mac/Linux) and enter the following comands

conda create -n freemocap-env python=3.7

conda activate freemocap-env

pip install freemocap -v

ipython

import freemocap as fmc
fmc.RunMe() #this is where the magic happens. Also, as of 2021-07-08, is likely going to be pretty crashy/buggy

2021-06-12_FreeMoCap_Clips_16MB.mp4

Prerequisites -

• Install Anaconda
  • https://www.anaconda.com/products/individual#Downloads
• Install CUDA
  • https://developer.nvidia.com/cuda-downloads
• Install OpenPose (Windows Portable Demo)
  • https://github.com/CMU-Perceptual-Computing-Lab/openpose/releases/tag/v1.6.0
    • This can be complicated, so I'll need to add more instructions here!
• Install ffmpeg (to save the final animation)
  • https://www.wikihow.com/Install-FFmpeg-on-Windows
• Two or more USB webcams attached to viable USB ports
  • (USB hubs typically don't work)
• Each recording must (for now) start with an unobstructed view of a Charuco board generated with python commands (or equivalent):

   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)
   
  

Follow the GitHub Repository and/or Join the Discord (https://discord.gg/HX7MTprYsK) for updates!

Stay Tuned for more soon!