# astlejoe789/real-time-face-filter-using-opencv architecture

> Architecture diagram of the GitHub repository astlejoe789/real-time-face-filter-using-opencv, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-08-13). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/astlejoe789/real-time-face-filter-using-opencv
- Repository: https://github.com/astlejoe789/real-time-face-filter-using-opencv

## Overview

#### Purpose and execution model
This is a Python/Jupyter computer-vision demonstration that composites a transparent sunglasses asset onto a still face image. The sole implementation and effective entry point is the interactive notebook: `Face Filter.ipynb`. It is not currently a webcam or deployable application.

#### Notebook pipeline
`Face Filter.ipynb` implements the end-to-end image-processing flow:
1. Load a face image.
2. Load sunglasses as a PNG preserving its alpha channel.
3. Resize the accessory to a manually chosen eye-region size.
4. Split accessory color data from transparency/mask data.
5. Composite the accessory into a face-image region of interest (ROI).
6. Render the augmented result.

#### Image compositing boundary
The key architectural boundary is between the base face frame and the accessory overlay. The face image supplies the destination ROI; the sunglass PNG supplies color pixels plus alpha-derived masking. Blending/replacement is constrained to the ROI, avoiding modification of unrelated face-image pixels. This logic resides in `Face Filter.ipynb`.

#### Positioning and sizing model
Placement is region-based and manually parameterized rather than detection-driven. Sunglasses are resized to fit an expected eye area, then placed at explicit ROI coordinates. Therefore, input images must be compatible with the notebook’s assumed face pose, scale, and location. Automatic face/eye landmark detection is not part of the current repository.

#### Runtime and dependencies
The runtime is Python in a Jupyter environment. `Face Filter.ipynb` uses:
- OpenCV for image I/O, resizing, channel/mask manipulation, and compositing.
- NumPy for image-array operations.
- Matplotlib for displaying intermediate or final output.

No dependency manifest, packaged module, server runtime, or external service integration is present in the repository.

#### Inputs and outputs
Input assets are expected to be a face image and an alpha-enabled sunglass PNG, loaded by the notebook; asset files themselves are not included in the visible tree. The output is an in-memory augmented image displayed from `Face Filter.ipynb`, rather than a persisted API response, file pipeline, or streaming video frame.

Main entry points: [`Face Filter.ipynb`](https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb) (ROI composite)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_runtime["Jupyter Runtime"]
  node_notebook["Face Filter notebook<br/>Jupyter entry point<br/>[Face Filter.ipynb]"]
  node_opencv["OpenCV<br/>image processing library"]
  node_numpy["NumPy<br/>array library"]
  node_matplotlib["Matplotlib<br/>display library"]
end

subgraph group_assets["Image Inputs"]
  node_face["Face image<br/>input raster"]
  node_sunglasses["Sunglasses PNG<br/>alpha-enabled overlay"]
end

subgraph group_pipeline["Compositing Pipeline"]
  node_face_frame["Face frame<br/>image array<br/>[Face Filter.ipynb]"]
  node_overlay_resize["Manual resize<br/>sizing stage<br/>[Face Filter.ipynb]"]
  node_color_alpha["Color and alpha split<br/>mask preparation<br/>[Face Filter.ipynb]"]
  node_eye_roi["Explicit eye ROI<br/>destination region<br/>[Face Filter.ipynb]"]
  node_composite["ROI composite<br/>blending stage<br/>[Face Filter.ipynb]"]
  node_result["Augmented image<br/>in-memory output<br/>[Face Filter.ipynb]"]
end

node_notebook -.->|"uses"| node_opencv
node_notebook -.->|"uses"| node_numpy
node_notebook -.->|"uses"| node_matplotlib
node_face -->|"load"| node_face_frame
node_sunglasses -->|"load"| node_overlay_resize
node_opencv -.->|"image I/O"| node_face_frame
node_overlay_resize -->|"resized overlay"| node_color_alpha
node_opencv -.->|"resize"| node_overlay_resize
node_color_alpha -->|"color and mask"| node_composite
node_face_frame -->|"select region"| node_eye_roi
node_eye_roi -->|"destination ROI"| node_composite
node_numpy -.->|"array operations"| node_composite
node_composite -->|"augmented frame"| node_result
node_matplotlib -.->|"render"| node_result

click node_notebook "https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb"
click node_face_frame "https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb"
click node_overlay_resize "https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb"
click node_color_alpha "https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb"
click node_eye_roi "https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb"
click node_composite "https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb"
click node_result "https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb"

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_notebook,node_opencv,node_numpy,node_matplotlib toneBlue
class node_face,node_sunglasses toneAmber
class node_face_frame,node_overlay_resize,node_color_alpha,node_eye_roi,node_composite,node_result toneMint
```

## Components

### Jupyter Runtime

Interactive Python image-processing workflow.

- [Face Filter notebook](https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb): Jupyter entry point · Sole implementation and interactive execution surface. · `Face Filter.ipynb`
- **OpenCV**: image processing library · Loads, resizes, masks, and composites images.
- **NumPy**: array library
- **Matplotlib**: display library

### Image Inputs

- **Face image**: input raster · Destination image with an assumed compatible face pose and scale.
- **Sunglasses PNG**: alpha-enabled overlay · Supplies accessory color pixels and transparency.

### Compositing Pipeline

- [Face frame](https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb): image array · `Face Filter.ipynb`
- [Manual resize](https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb): sizing stage · Sizes sunglasses for the expected eye region. · `Face Filter.ipynb`
- [Color and alpha split](https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb): mask preparation · Separates overlay color data from alpha-derived mask data. · `Face Filter.ipynb`
- [Explicit eye ROI](https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb): destination region · Manually parameterized placement coordinates on the face frame. · `Face Filter.ipynb`
- [ROI composite](https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb): blending stage · Applies overlay only within the selected face-image region. · `Face Filter.ipynb`
- [Augmented image](https://github.com/astlejoe789/real-time-face-filter-using-opencv/blob/main/Face%20Filter.ipynb): in-memory output · Rendered interactively; not persisted or served. · `Face Filter.ipynb`

## Connections

- Face Filter notebook → OpenCV: uses
- Face Filter notebook → NumPy: uses
- Face Filter notebook → Matplotlib: uses
- Face image → Face frame: load
- Sunglasses PNG → Manual resize: load
- OpenCV → Face frame: image I/O
- Manual resize → Color and alpha split: resized overlay
- OpenCV → Manual resize: resize
- Color and alpha split → ROI composite: color and mask
- Face frame → Explicit eye ROI: select region
- Explicit eye ROI → ROI composite: destination ROI
- NumPy → ROI composite: array operations
- ROI composite → Augmented image: augmented frame
- Matplotlib → Augmented image: render