Detect Expressions

Open-source scaffolding for a facial/expression recognition project built around MediaPipe Face Mesh. This repository includes a clean workspace layout with packages, scripts, config files, and documentation placeholders. No implementations are provided—just structure to help you start fast and keep it organized.

Highlights

• Scripts to train and run inference (placeholders)
• Scripts to create and annotate datasets (placeholders)
• Modular Python package layout under src/
• Config files for dataset, training, and inference
• Docs and contribution guides to look good in public

Repository Layout

detect-expressions/
├─ src/expression_recognition/
│  ├─ data/
│  ├─ models/
│  ├─ training/
│  ├─ inference/
│  ├─ utils/
│  ├─ config/
│  └─ evaluation/
├─ scripts/
├─ configs/
├─ data/
├─ notebooks/
├─ docs/
├─ tests/
├─ assets/
└─ .github/workflows/

Getting Started

• Create a virtual environment.
• Install dependencies from requirements.txt (edit as needed).
• Fill in code inside src/ and scripts/ as desired.

Notes

• All files are placeholders; implement functionality where appropriate.
• No license file is included—add one before publishing.