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    Open source software for multiple bodies and streams OSC

    Third Party Software
    tracking skeleton tensorflow motion tracking motion capture
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    • Armando
      Armando Beta Gold last edited by Armando

      Hello all, I just found a tool I think you'll love that was given me by the author. Colin Clark, an incredible person, a composer and software developer (and much more !) based in Toronto. He created a software called Movement OSC, (mac PC and linux) that does pose estimation and sends osc. Movement OSC detects body keypoints using Tensorflow.js' MoveNet models and sends data over OSC. It can also compare Movenet and MediaPipe so you can compare them ! The software formats the osc messages 4 ways Bundeled messages per axis, messages per axis, and bundled xyz array. I use just the latter then parse it in the Json parser 

      Here are the keypoints and the keypoints diagram 

      Enjoy !

      MovementOSC provides a normalized keypoint format that is consistent across all its supported models:

      • 33 keypoints in total
      • the first 16 keypoints are the COCO set
      • the remaining 17 keypoints are those unique to BlazePose, in order from head to toe
      • regardless of which model you use, all 33 keypoints will be provided; keypoints that aren't supported by the model, or which don't meet the specified minimum score, will be set to NaN

      Keypoints

      0: nose
      1: left_eye
      2: right_eye
      3: left_ear
      4: right_ear
      5: left_shoulder
      6: right_shoulder
      7: left_elbow
      8: right_elbow
      9: left_wrist
      10: right_wrist
      11: left_hip
      12: right_hip
      13: left_knee
      14: right_knee
      15: left_ankle
      16: right_ankle
      17: left_eye_inner
      18: left_eye_outer
      19: right_eye_inner
      20: right_eye_outer
      21: mouth_left
      22: mouth_right
      23: left_pinky
      24: right_pinky
      25: left_index
      26: right_index
      27: left_thumb
      28: right_thumb
      29: left_heel
      30: right_heel
      31: left_foot_index
      32: right_foot_index

      Armando Menicacci
      www.studiosit.ca
      MacBook Pro 16-inch, 2021 Apple M1 Max, RAM 64 GB, 4TB SSD, Mac OS Sonoma 14.4.1 (23E224)

      mark_m jfg 2 Replies Last reply Reply Quote 6
      • mark_m
        mark_m @Armando last edited by

        @armando

        Hey Armando,

        Thanks for sharing this.Seems to work very well, but am having a little issue getting data into Isadora.Do you have an example patch using Movement OSC that you could share, please?
        Thanks
        Mark (not that Mark...)

        Intel NUC8i7HVK Hades Canyon VR Gaming NUC, i7-8809G w/ Radeon RX Vega M GH 4GB Graphics, 32GB RAM, 2 x NVMe SSD
        Gigabyte Aero 15 OLED XD. Intel Core i7-11800H, NVidia RTX3070, 32GB RAM 2 x NVMe SSD
        PC Specialist Desktop: i9-14900K, RTX4070Ti, 64GB RAM, Win11Pro
        www.natalieinsideout.com

        dbini Armando 2 Replies Last reply Reply Quote 2
        • dbini
          dbini @mark_m last edited by

          @mark_m

          Hi Mark, I downloaded Movement OSC and it runs smoothly on my Intel Mac. OSC out to Isadora works for me in bundled xyz mode, with a change of port number. I'm teaching a session with some robotics students today, so looking forward to testing it out with them. Thanks @Armando - this is a great resource.

          John Collingswood
          taikabox.com
          2019 MBPT 2.6GHZ i7 OSX15.3.2 16GB
          plus an old iMac and assorted Mac Minis for installations

          1 Reply Last reply Reply Quote 0
          • jfg
            jfg @Armando last edited by

            @armando

            A thousand thanks. It works fantastic. Do you have an idea how to change the standard port and the format ? By every start it go back to 7500 and bundled Message per Axis and I cannot found how to change it.

            Again a thousand thanks for this found.

            Best regards, 

            Jean-François 

            • Izzy 3.2.6
            - MacBook Pro M1 Max 16" 64GB RAM, Mac OS 15.3.2 Sequoia
            - Mac Pro 5.1 middle 2012 (3,33 GHz 6-Core Intel Xeon, 32GB RAM, Radeon RX 580 8 GB ),
            Mac OS 10.14.6 (Mojave)
            - Mac mini Pro M4, Mac OS 15.3.2 Sequoia

            • A range of deployable older Macs
              Located in Bremen, Germany
            Armando 1 Reply Last reply Reply Quote 0
            • Armando
              Armando Beta Gold @mark_m last edited by Armando

              @mark_m 

              Here is a test patch. It works In fact the software is even more interesting than what I see, apparently. It is a framework for testing different models that can live parallel lifestyles and be alternated and studied. Please enable from the menu the developer panel Astonishing. 

              movement-osc-test.izz

              Armando Menicacci
              www.studiosit.ca
              MacBook Pro 16-inch, 2021 Apple M1 Max, RAM 64 GB, 4TB SSD, Mac OS Sonoma 14.4.1 (23E224)

              1 Reply Last reply Reply Quote 1
              • Armando
                Armando Beta Gold @jfg last edited by

                @jfg aven't found the way but look around the developer more you can control pretty much everything. I just shared as soon as I have found out through the developer. I'll invite him on the forum

                Armando Menicacci
                www.studiosit.ca
                MacBook Pro 16-inch, 2021 Apple M1 Max, RAM 64 GB, 4TB SSD, Mac OS Sonoma 14.4.1 (23E224)

                1 Reply Last reply Reply Quote 0
                • colinbdclark
                  colinbdclark last edited by

                  Hi all, I'm the creator of MovementOSC. I'm super excited to see that it's useful to you all.

                  First, @Armando, thank you so much for posting about it and sharing how you've set up Isadora with it. 

                  I actually designed the "Bundled Message Per Axis" format with @princeCarlosthe5 specifically for Isadora, and we used it extensively in a residency at Jacob's Pillow a couple weeks ago to track dancers (both from archival footage and live), visualize the data, and transform it into a format suitable for a cable robot. I'm not an Isadora expert (yet!), but as far as I know you should be able to use that format directly without having to use the JSON Parser actor or do any other kind of string parsing that might slow things down. Hopefully Carlos might be able to share what his configuration looked like.

                  I responded to @jfg in the other thread about how settings aren't yet saved when you quit the application, but it is a feature I'm planning to add when I have some time. 

                  @dbini, I'm glad to hear it was interesting to you, and I'd love to hear how your robotics students used it!

                  1 Reply Last reply Reply Quote 2
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