# younesmlik/motion_estimation architecture

> Architecture diagram of the GitHub repository younesmlik/motion_estimation, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-11-14). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/younesmlik/motion_estimation
- Repository: https://github.com/younesmlik/motion_estimation

## Overview

This Python application processes a video into consecutive-frame optical-flow results and displays each original frame alongside a visualization. The main workflow runs from the command-line entry point through video reading, grayscale conversion, flow calculation, and visualization, then renders results in an OpenCV window. The flow module provides several selectable algorithms; shared types define the result and configuration contracts. Relationships are based on the sampled source; the README is empty, so undocumented capabilities are not inferred.

Main entry points: [`src/motion_estimation/pipeline.py`](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/pipeline.py) (Frame pipeline), [`src/motion_estimation/types.py`](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/types.py) (Flow contracts), [`src/motion_estimation/cli.py`](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/cli.py) (CLI runner), [`src/motion_estimation/video.py`](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/video.py) (Video reader)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_input["Video input"]
  node_video["Video reader<br/>[video.py]"]
end

subgraph group_processing["Flow processing"]
  node_contracts["Flow contracts<br/>[types.py]"]
  node_algorithms["Flow algorithms<br/>[flow.py]"]
  node_pipeline["Frame pipeline<br/>[pipeline.py]"]
  node_visualization["Flow visualization<br/>[visualization.py]"]
end

subgraph group_experience["CLI display"]
  node_cli["CLI runner<br/>[cli.py]"]
  node_renderer["Window renderer<br/>[cli.py]"]
end

node_user(("Video user"))

node_user -->|"supplies video"| node_cli
node_cli -->|"runs processing"| node_pipeline
node_pipeline -->|"reads frames"| node_video
node_pipeline -->|"calculates flow"| node_algorithms
node_pipeline -->|"visualizes flow"| node_visualization
node_pipeline -->|"yields results"| node_contracts
node_algorithms -->|"uses flow types"| node_contracts
node_video -->|"converts image types"| node_contracts
node_visualization -->|"uses result types"| node_contracts
node_cli -->|"renders results"| node_renderer

click node_cli "https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/cli.py"
click node_video "https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/video.py"
click node_contracts "https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/types.py"
click node_algorithms "https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/flow.py"
click node_pipeline "https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/pipeline.py"
click node_visualization "https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/visualization.py"
click node_renderer "https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/cli.py"

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_video,node_user toneBlue
class node_contracts,node_algorithms,node_pipeline,node_visualization toneAmber
class node_cli,node_renderer toneMint
```

## Components

### Video input

- [Video reader](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/video.py): `src/motion_estimation/video.py`

### Flow processing

- [Flow contracts](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/types.py): `src/motion_estimation/types.py`
- [Flow algorithms](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/flow.py): `src/motion_estimation/flow.py`
- [Frame pipeline](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/pipeline.py): `src/motion_estimation/pipeline.py`
- [Flow visualization](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/visualization.py): `src/motion_estimation/visualization.py`

### CLI display

- [CLI runner](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/cli.py): `src/motion_estimation/cli.py`
- [Window renderer](https://github.com/younesmlik/motion_estimation/blob/master/src/motion_estimation/cli.py): `src/motion_estimation/cli.py`

### Other components

- **Video user**

## Connections

- Video user → CLI runner: supplies video (evidence: `src/motion_estimation/cli.py`)
- CLI runner → Frame pipeline: runs processing (evidence: `src/motion_estimation/cli.py`)
- Frame pipeline → Video reader: reads frames (evidence: `src/motion_estimation/pipeline.py`)
- Frame pipeline → Flow algorithms: calculates flow (evidence: `src/motion_estimation/pipeline.py`)
- Frame pipeline → Flow visualization: visualizes flow (evidence: `src/motion_estimation/pipeline.py`)
- Frame pipeline → Flow contracts: yields results (evidence: `src/motion_estimation/pipeline.py`)
- Flow algorithms → Flow contracts: uses flow types (evidence: `src/motion_estimation/flow.py`)
- Video reader → Flow contracts: converts image types (evidence: `src/motion_estimation/video.py`)
- Flow visualization → Flow contracts: uses result types (evidence: `src/motion_estimation/visualization.py`)
- CLI runner → Window renderer: renders results (evidence: `src/motion_estimation/cli.py`)