{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"}],"enrichment":{"capability":"Detects faces and facial landmarks (eyes, nose, mouth) in images using a cascaded convolutional network, returning bounding boxes and keypoint coordinates.","skillfed_tags":["computer-vision","face-detection","tensorflow"],"use_cases":["Detect faces in photos for automated cropping, tagging, or privacy masking in image processing pipelines.","Extract facial landmarks to feed into downstream face recognition or emotion detection models.","Build face-aware image galleries or applications that need to locate and align faces.","Perform batch face detection on large image datasets for training or annotation workflows.","Implement face detection in video frames for security or interactive applications."],"what_it_does":"MTCNN is a face detection and alignment library that uses a three-stage cascaded convolutional network (PNet, RNet, ONet) to locate faces in images and extract facial landmarks. It returns bounding boxes and keypoint coordinates (eyes, nose, mouth) for each detected face along with confidence scores. The package is designed for Python >= 3.10 and requires TensorFlow >= 2.12 as its primary external dependency.\n\nThe library provides a simple API: instantiate an MTCNN detector, load an image, call detect_faces(), and receive structured output with box coordinates, landmark positions, and confidence values. Maintenance is dormant but the codebase is stable; the repository has not been archived and retains 2483 stars. No known vulnerabilities are recorded.","worth_installing":"Yes, if you need face detection and landmark extraction in Python >= 3.10. The package has low install friction, permissive licensing, no known vulnerabilities, and a stable codebase with 2483 GitHub stars. The main trade-off is dormant maintenance\u2014no active development for 675 days\u2014so expect no new features or rapid bug fixes. It is suitable for production use in stable environments but not for projects requiring ongoing support."},"id":"mtcnn","links":{"html":"https://skillfed.io/packages/mtcnn","md":"https://skillfed.io/packages/mtcnn.md","pypi":"https://pypi.org/project/mtcnn/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-10-08","license_spdx":null,"license_treatment":"permissive","name":"mtcnn","python_support":"supports_current","summary":"Multitask Cascaded Convolutional Networks for face detection and alignment (MTCNN) in Python >= 3.10 and TensorFlow >= 2.12"},"popularity":{"monthly_downloads":3806628,"position":2493,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}