| import os | |
| from modules import devices | |
| from annotator.annotator_path import models_path | |
| from .api import make_detectron2_model, semantic_run | |
| class OneformerDetector: | |
| model_dir = os.path.join(models_path, "oneformer") | |
| configs = { | |
| "coco": { | |
| "name": "150_16_swin_l_oneformer_coco_100ep.pth", | |
| "config": 'configs/coco/oneformer_swin_large_IN21k_384_bs16_100ep.yaml' | |
| }, | |
| "ade20k": { | |
| "name": "250_16_swin_l_oneformer_ade20k_160k.pth", | |
| "config": 'configs/ade20k/oneformer_swin_large_IN21k_384_bs16_160k.yaml' | |
| } | |
| } | |
| def __init__(self, config): | |
| self.model = None | |
| self.metadata = None | |
| self.config = config | |
| self.device = devices.get_device_for("controlnet") | |
| def load_model(self): | |
| remote_model_path = "https://huggingface.co/lllyasviel/Annotators/resolve/main/" + self.config["name"] | |
| modelpath = os.path.join(self.model_dir, self.config["name"]) | |
| if not os.path.exists(modelpath): | |
| from basicsr.utils.download_util import load_file_from_url | |
| load_file_from_url(remote_model_path, model_dir=self.model_dir) | |
| config = os.path.join(os.path.dirname(__file__), self.config["config"]) | |
| model, self.metadata = make_detectron2_model(config, modelpath) | |
| self.model = model | |
| def unload_model(self): | |
| if self.model is not None: | |
| self.model.model.cpu() | |
| def __call__(self, img): | |
| if self.model is None: | |
| self.load_model() | |
| self.model.model.to(self.device) | |
| return semantic_run(img, self.model, self.metadata) | |