RRepoGEO

REPOGEO REPORT · LITE

FORTH-ModelBasedTracker/MocapNET

Default branch master · commit 5e9cb08b · scanned 6/9/2026, 4:37:52 PM

GitHub: 939 stars · 143 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface FORTH-ModelBasedTracker/MocapNET, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a concise, problem-solution introduction to the README

    Why:

    CURRENT
    # MocapNET Project

One click deployment in Google Collab : [](https://colab.google.com/github/FORTH-ModelBasedTracker/MocapNET/blob/mnet4/mocapnet4.ipynb)

## News
    COPY-PASTE FIX
    # MocapNET Project

MocapNET is a real-time, markerless 3D human pose estimation method that converts 2D body joint estimations from monocular color images directly into the popular Bio Vision Hierarchy (BVH) format. It offers a robust, software-only solution for animators, researchers, and developers needing immediate 3D motion capture output from standard webcams, without specialized hardware.

One click deployment in Google Collab : [](https://colab.google.com/github/FORTH-ModelBasedTracker/MocapNET/blob/mnet4/mocapnet4.ipynb)

## News
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is released under a custom license detailed in the `LICENSE` file. Please refer to the `LICENSE` file for full details regarding usage and distribution.
  • lowcomparison#3
    Add a 'Why MocapNET?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why MocapNET?

Unlike hardware-based motion capture systems (e.g., Perception Neuron, Rokoko) or general-purpose computer vision libraries (e.g., OpenCV, MediaPipe) that require further processing, MocapNET provides a unique, real-time, software-only solution for 3D human pose estimation directly into the BVH format from a single monocular camera. This makes it ideal for scenarios requiring immediate 3D animation data without specialized equipment or cloud processing.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface FORTH-ModelBasedTracker/MocapNET
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMotion Animate 3D
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMotion Animate 3D · recommended 1×
  2. Plask · recommended 1×
  3. google/mediapipe · recommended 1×
  4. opencv/opencv · recommended 1×
  5. bulletphysics/bullet3 · recommended 1×
  • CATEGORY QUERY
    How to convert 2D webcam pose data into real-time 3D animation format?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion Animate 3D
    2. Plask
    3. MediaPipe Pose (google/mediapipe)
    4. OpenCV (opencv/opencv)
    5. PyBullet (bulletphysics/bullet3)
    6. Unity's IK Rigs
    7. OpenPose (CMU-Perceptual-Computing-Lab/openpose)
    8. Azure Kinect DK
    9. Body Tracking SDK
    10. Unity
    11. Unreal Engine
    12. Nuitrack SDK
    13. Rokoko Studio

    AI recommended 13 alternatives but never named FORTH-ModelBasedTracker/MocapNET. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide real-time human motion capture outputting BVH directly?
    you: not recommended
    AI recommended (in order):
    1. Perception Neuron (Noitom)
    2. Rokoko Smartsuit Pro
    3. Xsens MVN Animate
    4. OptiTrack
    5. Vicon
    6. OpenPose

    AI recommended 6 alternatives but never named FORTH-ModelBasedTracker/MocapNET. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of FORTH-ModelBasedTracker/MocapNET?
    pass
    AI named FORTH-ModelBasedTracker/MocapNET explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts FORTH-ModelBasedTracker/MocapNET in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FORTH-ModelBasedTracker/MocapNET explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo FORTH-ModelBasedTracker/MocapNET solve, and who is the primary audience?
    pass
    AI named FORTH-ModelBasedTracker/MocapNET explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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FORTH-ModelBasedTracker/MocapNET — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite