Spaces:
Sleeping
Sleeping
File size: 1,375 Bytes
a8d3381 2ab6e0a a8d3381 34b56b2 a8d3381 c57c49d 2ab6e0a 34b56b2 2ab6e0a a8d3381 34b56b2 c57c49d 34b56b2 a8d3381 2ab6e0a a8d3381 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
import os
from functools import lru_cache
from typing import Callable, Dict, Optional
from models.detectors.base import ObjectDetector
from models.detectors.detr import DetrDetector
from models.detectors.grounding_dino import GroundingDinoDetector
from models.detectors.owlv2 import Owlv2Detector
from models.detectors.yolov8 import HuggingFaceYoloV8Detector
DEFAULT_DETECTOR = "owlv2_base"
_REGISTRY: Dict[str, Callable[[], ObjectDetector]] = {
"owlv2_base": Owlv2Detector,
"hf_yolov8": HuggingFaceYoloV8Detector,
"detr_resnet50": DetrDetector,
"grounding_dino": GroundingDinoDetector,
}
def _create_detector(name: str) -> ObjectDetector:
try:
factory = _REGISTRY[name]
except KeyError as exc:
available = ", ".join(sorted(_REGISTRY))
raise ValueError(f"Unknown detector '{name}'. Available: {available}") from exc
return factory()
@lru_cache(maxsize=None)
def _get_cached_detector(name: str) -> ObjectDetector:
return _create_detector(name)
def load_detector(name: Optional[str] = None) -> ObjectDetector:
"""Return a cached detector instance selected via arg or OBJECT_DETECTOR env."""
detector_name = name or os.getenv("OBJECT_DETECTOR", DEFAULT_DETECTOR)
return _get_cached_detector(detector_name)
# Backwards compatibility for existing callers.
def load_model():
return load_detector()
|