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from typing import Union
import cv2
import numpy as np
from PIL import Image
from modules.control.util import HWC3, resize_image
checked_ok = False
def check_dependencies():
global checked_ok # pylint: disable=global-statement
from installer import installed, install, log
packages = [('mediapipe', 'mediapipe')]
for pkg in packages:
if not installed(pkg[1], reload=True, quiet=True):
install(pkg[0], pkg[1], ignore=False)
try:
import mediapipe as mp # pylint: disable=unused-import
checked_ok = True
return True
except Exception as e:
log.error(f'MediaPipe: {e}')
return False
class MediapipeFaceDetector:
def __call__(self,
input_image: Union[np.ndarray, Image.Image] = None,
max_faces: int = 1,
min_confidence: float = 0.5,
output_type: str = "pil",
detect_resolution: int = 512,
image_resolution: int = 512,
**kwargs):
if not checked_ok:
if not check_dependencies():
return
from .mediapipe_face_util import generate_annotation
if input_image is None:
raise ValueError("input_image must be defined.")
if not isinstance(input_image, np.ndarray):
input_image = np.array(input_image, dtype=np.uint8)
input_image = HWC3(input_image)
input_image = resize_image(input_image, detect_resolution)
detected_map = generate_annotation(input_image, max_faces, min_confidence)
detected_map = HWC3(detected_map)
img = resize_image(input_image, image_resolution)
H, W, _C = img.shape
detected_map = cv2.resize(detected_map, (W, H), interpolation=cv2.INTER_LINEAR)
if output_type == "pil":
detected_map = Image.fromarray(detected_map)
return detected_map
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