38 lines
992 B
Python
38 lines
992 B
Python
from abc import ABC, abstractmethod
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from typing import Tuple
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import cv2
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import numpy as np
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class MaskGenerator(ABC):
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@abstractmethod
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def name(self) -> str:
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pass
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@abstractmethod
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def generate_mask(
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self,
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face_image: np.ndarray,
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face_area_on_image: Tuple[int, int, int, int],
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**kwargs,
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) -> np.ndarray:
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pass
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@staticmethod
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def mask_non_face_areas(image: np.ndarray, face_area_on_image: Tuple[int, int, int, int]) -> np.ndarray:
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left, top, right, bottom = face_area_on_image
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image = image.copy()
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image[:top, :] = 0
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image[bottom:, :] = 0
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image[:, :left] = 0
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image[:, right:] = 0
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return image
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@staticmethod
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def calculate_mask_coverage(mask: np.ndarray):
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gray_mask = cv2.cvtColor(mask, cv2.COLOR_RGB2GRAY)
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non_black_pixels = np.count_nonzero(gray_mask)
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total_pixels = gray_mask.size
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return non_black_pixels / total_pixels
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