nudenet_onnx

pip install onnxruntime>=1.18.0
# For GPU acceleration (optional):
# pip install onnxruntime-gpu>=1.18.0
pip install dghs-imgutils

from imgutils.detect.nudenet import detect_with_nudenet
from PIL import Image

# Load and process image
image = Image.open('your_image.jpg')
detections = detect_with_nudenet(
    image, 
    topk=100,
    iou_threshold=0.45,
    score_threshold=0.25
)

# Process results
for bbox, label, confidence in detections:
    x1, y1, x2, y2 = bbox
    print(f"Detected {label} with confidence {confidence:.3f} at [{x1:.1f}, {y1:.1f}, {x2:.1f}, {y2:.1f}]")