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Running
on
Zero
File size: 1,944 Bytes
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import warnings
from typing import Union
import cv2
import numpy as np
from PIL import Image
from ..util import HWC3, resize_image
from .mediapipe_face_common import generate_annotation
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 "image" in kwargs:
warnings.warn("image is deprecated, please use `input_image=...` instead.", DeprecationWarning)
input_image = kwargs.pop("image")
if input_image is None:
raise ValueError("input_image must be defined.")
if "return_pil" in kwargs:
warnings.warn("return_pil is deprecated. Use output_type instead.", DeprecationWarning)
output_type = "pil" if kwargs["return_pil"] else "np"
if type(output_type) is bool:
warnings.warn("Passing `True` or `False` to `output_type` is deprecated and will raise an error in future versions")
if output_type:
output_type = "pil"
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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