fix Auto focal point crop for opencv >= 4.8.x

import os

import numpy as np

from PIL import ImageDraw

from modules import paths_internal

from pkg_resources import parse_version

GREEN = "#0F0"

BLUE = "#00F"

    return w == h

def download_and_cache_models(dirname):

    download_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'

    model_file_name = 'face_detection_yunet.onnx'

model_dir_opencv = os.path.join(paths_internal.models_path, 'opencv')

if parse_version(cv2.__version__) >= parse_version('4.8'):

    model_file_path = os.path.join(model_dir_opencv, 'face_detection_yunet_2023mar.onnx')

    model_url = 'https://github.com/opencv/opencv_zoo/blob/b6e370b10f641879a87890d44e42173077154a05/models/face_detection_yunet/face_detection_yunet_2023mar.onnx?raw=true'

else:

    model_file_path = os.path.join(model_dir_opencv, 'face_detection_yunet.onnx')

    model_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'

    os.makedirs(dirname, exist_ok=True)

    cache_file = os.path.join(dirname, model_file_name)

    if not os.path.exists(cache_file):

        print(f"downloading face detection model from '{download_url}' to '{cache_file}'")

        response = requests.get(download_url)

        with open(cache_file, "wb") as f:

def download_and_cache_models():

    if not os.path.exists(model_file_path):

        os.makedirs(model_dir_opencv, exist_ok=True)

        print(f"downloading face detection model from '{model_url}' to '{model_file_path}'")

        response = requests.get(model_url)

        with open(model_file_path, "wb") as f:

            f.write(response.content)

    if os.path.exists(cache_file):

        return cache_file

    return None

    return model_file_path

class PointOfInterest:

import math

import tqdm

from modules import paths, shared, images, deepbooru

from modules import shared, images, deepbooru

from modules.textual_inversion import autocrop

            dnn_model_path = None

            try:

                dnn_model_path = autocrop.download_and_cache_models(os.path.join(paths.models_path, "opencv"))

                dnn_model_path = autocrop.download_and_cache_models()

            except Exception as e:

                print("Unable to load face detection model for auto crop selection. Falling back to lower quality haar method.", e)