:construction [landmarks] Initialize Landmark Extraction module and Base Class

Author: ishandutta0098

mukh/landmarks/__init__.py

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+from .landmark_extractor import LandmarkExtractor

mukh/landmarks/landmark_extractor.py

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+"""Landmark extraction module providing a unified interface for multiple extraction models.
+
+This module provides a factory class for creating landmark extractors with different
+underlying implementations. It supports multiple extraction models through a consistent
+interface.
+
+Example:
+    Basic usage with default settings:
+
+    >>> from mukh.landmarks import LandmarkExtractor
+    >>> extractor = LandmarkExtractor.create("blazeface")
+    >>> landmarks = extractor.extract("image.jpg")
+
+    List available models:
+
+    >>> LandmarkExtractor.list_available_models()
+    ['blazeface', 'mediapipe']
+"""
+
+from typing import List, Literal
+
+from .models.base_extractor import BaseLandmarkExtractor
+from .models.blazeface import BlazeFaceLandmarkExtractor
+
+ExtractorType = Literal["blazeface", "mediapipe"]
+
+
+class LandmarkExtractor:
+    """Factory class for creating landmark extraction model instances.
+
+    This class provides a unified interface to create and use different landmark extraction
+    models through a consistent API.
+    """
+
+    @staticmethod
+    def create(model: ExtractorType) -> BaseLandmarkExtractor:
+        """Creates a landmark extractor instance of the specified type.
+
+        Args:
+            model: The type of extractor to create. Must be one of: "blazeface" or
+                "mediapipe".
+
+        Returns:
+            A BaseLandmarkExtractor instance of the requested type.
+
+        Raises:
+            ValueError: If the specified model type is not supported.
+        """
+        detectors = {
+            "blazeface": BlazeFaceLandmarkExtractor,
+        }
+
+        if model not in detectors:
+            raise ValueError(
+                f"Unknown detector model: {model}. "
+                f"Available models: {list(detectors.keys())}"
+            )
+
+        return detectors[model]()
+
+    @staticmethod
+    def list_available_models() -> List[str]:
+        """Returns a list of available face detection model names.
+
+        Returns:
+            List of strings containing supported model names.
+        """
+        return ["blazeface", "mediapipe"]