| 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) |
|
|
