# itsyournafiz/pose-estimation-realtime-24-fps-using-cpu architecture

> Architecture diagram of the GitHub repository itsyournafiz/pose-estimation-realtime-24-fps-using-cpu, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-06-27). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu
- Repository: https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu

## Overview

1. This repository is a small Python-based pose-estimation demo focused on real-time CPU execution at about 24 FPS. It is not a multi-service system; the architecture is centered on a few runnable scripts plus one shared helper module.

2. The main architectural boundary is between the application entrypoints and the reusable pose logic. `PoseModule.py` appears to be the core abstraction layer, while `AwesomePoseDetection.py` and `PoseEstimationMin.py` are the executable demos built on top of it.

3. `PoseModule.py` is the shared subsystem that likely handles pose model setup, frame processing, landmark extraction, and drawing/overlay helpers. Any diagram should place this as the internal engine used by the scripts rather than a standalone app.

4. `AwesomePoseDetection.py` is likely the richer demo or reference application. It probably consumes live camera or video frames, runs pose detection through `PoseModule.py`, and renders annotated output back to the screen.

5. `PoseEstimationMin.py` looks like a minimal or stripped-down variant of the same pipeline. Architecturally, this suggests two presentation layers over the same core: one for a fuller demo and one for a lightweight example or simplified benchmark.

6. The data flow is straightforward: frame source in, pose inference and landmark processing in the module, annotated frame out. The repo’s value is in that single processing loop rather than in persistent storage, APIs, or background jobs.

7. The `PoseVideos Sample/` folder is an input asset boundary, not a code subsystem. It contains example MP4 files (`Pose6.mp4`, `Pose9.mp4`, `Pose10.mp4`) that likely drive offline testing or demo playback instead of a live webcam feed.

8. There is no evidence of a database, message queue, web server, or cloud dependency. The architecture is therefore local and synchronous: Python script -> video/frame source -> pose processing -> visualization.

9. `requirements.txt` defines the external runtime dependencies needed to execute the scripts. In the diagram, this should sit outside the application boundary as the environment layer that enables the pose pipeline.

10. The repository’s operational emphasis is performance on CPU rather than distributed scalability. That means the key non-functional boundary is compute efficiency in the frame-processing loop, not system integration.

11. If you are drawing an architecture diagram, the clearest boxes are: input media/camera, Python demo script, shared pose module, rendered output, and local dependencies. The sample videos belong on the input side, while `requirements.txt` belongs beneath the runtime.

12. Overall, this is a compact single-process computer-vision project with one reusable core and two thin executable front ends. The main design intent is reuse of pose-processing code across demos while keeping the runtime simple and CPU-friendly.

Main entry points: [`AwesomePoseDetection.py`](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/AwesomePoseDetection.py) (Awesome demo), [`PoseEstimationMin.py`](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/PoseEstimationMin.py) (Minimal demo), [`PoseModule.py`](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/PoseModule.py) (Pose module), [`PoseVideos Sample`](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/tree/HEAD/PoseVideos%20Sample) (Sample videos)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_inputs["Input media"]
  node_camera(("Camera<br/>frame source"))
  node_sample_videos["Sample videos<br/>media assets"]
  node_pose10["Pose10<br/>video asset<br/>[Pose10.mp4]"]
  node_pose6["Pose6<br/>video asset<br/>[Pose6.mp4]"]
  node_pose9["Pose9<br/>video asset<br/>[Pose9.mp4]"]
end

subgraph group_app["Demo apps"]
  node_awesome_demo["Awesome demo<br/>entrypoint"]
  node_minimal_demo["Minimal demo<br/>entrypoint"]
end

subgraph group_core["Pose core"]
  node_pose_module["Pose module<br/>shared core<br/>[PoseModule.py]"]
  node_infer_loop(("Frame loop<br/>processing loop"))
  node_landmarks(("Landmarks<br/>pose output"))
  node_overlay(("Overlay render<br/>visualization"))
end

subgraph group_env["Runtime"]
  node_requirements["Requirements<br/>dependencies<br/>[requirements.txt]"]
end

node_rendered_output(("Rendered output<br/>display"))

node_camera -->|"frames"| node_awesome_demo
node_sample_videos -->|"frames"| node_awesome_demo
node_sample_videos -->|"frames"| node_minimal_demo
node_awesome_demo -->|"uses"| node_pose_module
node_minimal_demo -->|"uses"| node_pose_module
node_pose_module -->|"drives"| node_infer_loop
node_infer_loop -->|"extracts"| node_landmarks
node_landmarks -->|"feeds"| node_overlay
node_overlay -->|"outputs"| node_rendered_output
node_awesome_demo -->|"displays"| node_rendered_output
node_minimal_demo -->|"displays"| node_rendered_output
node_requirements -->|"enables"| node_awesome_demo
node_requirements -->|"enables"| node_minimal_demo

click node_sample_videos "https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/tree/main/PoseVideos Sample"
click node_pose10 "https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/PoseVideos Sample/Pose10.mp4"
click node_pose6 "https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/PoseVideos Sample/Pose6.mp4"
click node_pose9 "https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/PoseVideos Sample/Pose9.mp4"
click node_awesome_demo "https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/AwesomePoseDetection.py"
click node_minimal_demo "https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/PoseEstimationMin.py"
click node_pose_module "https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/PoseModule.py"
click node_requirements "https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/requirements.txt"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_camera,node_sample_videos,node_pose10,node_pose6,node_pose9 toneBlue
class node_awesome_demo,node_minimal_demo toneAmber
class node_pose_module,node_infer_loop,node_landmarks,node_overlay toneMint
class node_requirements toneRose
class node_rendered_output toneNeutral
```

## Components

### Input media

Camera or sample videos used as frame sources.

- **Camera**: frame source · Live video input for real-time pose estimation.
- [Sample videos](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/tree/HEAD/PoseVideos%20Sample): media assets · Offline MP4 inputs for playback and demo testing. · `PoseVideos Sample`
- [Pose10](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/HEAD/PoseVideos%20Sample/Pose10.mp4): video asset · Sample MP4 input file. · `PoseVideos Sample/Pose10.mp4`
- [Pose6](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/HEAD/PoseVideos%20Sample/Pose6.mp4): video asset · Sample MP4 input file. · `PoseVideos Sample/Pose6.mp4`
- [Pose9](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/HEAD/PoseVideos%20Sample/Pose9.mp4): video asset · Sample MP4 input file. · `PoseVideos Sample/Pose9.mp4`

### Demo apps

Executable entrypoints for the pose-estimation pipeline.

- [Awesome demo](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/AwesomePoseDetection.py): entrypoint · Richer pose-estimation application and visualization loop. · `AwesomePoseDetection.py`
- [Minimal demo](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/PoseEstimationMin.py): entrypoint · Stripped-down pose-estimation example built on the shared core. · `PoseEstimationMin.py`

### Pose core

Shared pose-processing engine reused by the demos.

- [Pose module](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/PoseModule.py): shared core · Reusable pose setup, frame processing, landmark extraction, and drawing helpers. · `PoseModule.py`
- **Frame loop**: processing loop · Consumes frames, runs pose inference, and advances the demo.
- **Landmarks**: pose output · Extracted body keypoints and pose coordinates.
- **Overlay render**: visualization · Draws annotated pose output onto the frame.

### Runtime

Local dependencies and execution environment.

- [Requirements](https://github.com/itsyournafiz/pose-estimation-realtime-24-fps-using-cpu/blob/main/requirements.txt): dependencies · Python packages needed to run the demos. · `requirements.txt`

### Other components

- **Rendered output**: display · Annotated video shown back to the user.

## Connections

- Camera → Awesome demo: frames · Live frames enter the richer demo.
- Sample videos → Awesome demo: frames · Sample MP4s can drive the demo pipeline.
- Sample videos → Minimal demo: frames · Sample MP4s can drive the minimal pipeline.
- Awesome demo → Pose module: uses · The demo delegates pose logic to the shared module.
- Minimal demo → Pose module: uses · The minimal demo delegates pose logic to the shared module.
- Pose module → Frame loop: drives · Core module provides the processing workflow.
- Frame loop → Landmarks: extracts · Pose inference produces landmark data.
- Landmarks → Overlay render: feeds · Landmarks are rendered onto frames.
- Overlay render → Rendered output: outputs · Annotated frames are shown or emitted.
- Awesome demo → Rendered output: displays · Richer demo presents annotated output.
- Minimal demo → Rendered output: displays · Minimal demo presents annotated output.
- Requirements → Awesome demo: enables · Dependencies support the richer demo runtime.
- Requirements → Minimal demo: enables · Dependencies support the minimal demo runtime.