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Clone Repository\n```bash\ngit clone https://github.com/gbennnn/facial-landmarks-detection.git\ncd facial-landmarks-detection\n\n```\n\n### 2. Create Virtual Environment\n```bash\npython -m venv venv\nsource venv/bin/activate   # Linux / Mac\nvenv\\Scripts\\activate      # Windows\n```\n\n### 3. Install Dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### 4. Prepare Models\n\n[Download](https://github.com/spmallick/learnopencv/tree/master/AgeGender) the pre-trained models and place them in the `model/` folder:\n\n* `deploy.prototxt`\n* `res10_300x300_ssd_iter_140000.caffemodel`\n* `age_deploy.prototxt`\n* `age_net.caffemodel`\n* `gender_deploy.prototxt`\n* `gender_net.caffemodel`\n\n\n## Usage\n\n### Run the Flask App\n\n```bash\npython app.py\n```\n\nOpen your browser and go to:\n\n```\nhttp://127.0.0.1:5000/\n```\n\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgbennnn%2Ffacial-landmarks-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgbennnn%2Ffacial-landmarks-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgbennnn%2Ffacial-landmarks-detection/lists"}