import os from annotator.uniformer.mmseg.apis import init_segmentor, inference_segmentor, show_result_pyplot from annotator.uniformer.mmseg.core.evaluation import get_palette from annotator.util import annotator_ckpts_path checkpoint_file = "https://huggingface.co./lllyasviel/ControlNet/resolve/main/annotator/ckpts/upernet_global_small.pth" class UniformerDetector: def __init__(self): modelpath = os.path.join(annotator_ckpts_path, "upernet_global_small.pth") if not os.path.exists(modelpath): from basicsr.utils.download_util import load_file_from_url load_file_from_url(checkpoint_file, model_dir=annotator_ckpts_path) config_file = os.path.join(os.path.dirname(annotator_ckpts_path), "uniformer", "exp", "upernet_global_small", "config.py") self.model = init_segmentor(config_file, modelpath).cuda() def __call__(self, img): result = inference_segmentor(self.model, img) res_img = show_result_pyplot(self.model, img, result, get_palette('ade'), opacity=1) return res_img