| # Uniformer | |
| # From https://github.com/Sense-X/UniFormer | |
| # # Apache-2.0 license | |
| 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 | |