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

autocrop.download_and_cache_models
in opencv >= 4.8 the face detection model was updated
download the base on opencv version
returns the model path or raise exception
This commit is contained in:
w-e-w
2023-11-27 17:26:16 +09:00
parent f0f100e67b
commit 03ee297aa2
2 changed files with 18 additions and 15 deletions

View File

@@ -3,6 +3,8 @@ import requests
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"
@@ -294,22 +296,23 @@ def is_square(w, h):
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: