import sys from pathlib import Path import subprocess import logging from ..utils.base_model import BaseModel logger = logging.getLogger(__name__) darkfeat_path = Path(__file__).parent / "../../third_party/DarkFeat" sys.path.append(str(darkfeat_path)) from darkfeat import DarkFeat as DarkFeat_ class DarkFeat(BaseModel): default_conf = { "model_name": "DarkFeat.pth", "max_keypoints": 1000, "detection_threshold": 0.5, "sub_pixel": False, } weight_urls = { "DarkFeat.pth": "https://drive.google.com/uc?id=1Thl6m8NcmQ7zSAF-1_xaFs3F4H8UU6HX&confirm=t", } proxy = "http://localhost:1080" required_inputs = ["image"] def _init(self, conf): model_path = darkfeat_path / "checkpoints" / conf["model_name"] link = self.weight_urls[conf["model_name"]] if not model_path.exists(): model_path.parent.mkdir(exist_ok=True) cmd_wo_proxy = ["gdown", link, "-O", str(model_path)] cmd = ["gdown", link, "-O", str(model_path), "--proxy", self.proxy] logger.info( f"Downloading the DarkFeat model with `{cmd_wo_proxy}`." ) try: subprocess.run(cmd_wo_proxy, check=True) except subprocess.CalledProcessError as e: logger.info(f"Downloading the DarkFeat model with `{cmd}`.") try: subprocess.run(cmd, check=True) except subprocess.CalledProcessError as e: logger.error(f"Failed to download the DarkFeat model.") raise e self.net = DarkFeat_(model_path) def _forward(self, data): pred = self.net({"image": data["image"]}) keypoints = pred["keypoints"] descriptors = pred["descriptors"] scores = pred["scores"] idxs = scores.argsort()[-self.conf["max_keypoints"] or None :] keypoints = keypoints[idxs, :2] descriptors = descriptors[:, idxs] scores = scores[idxs] return { "keypoints": keypoints[None], # 1 x N x 2 "scores": scores[None], # 1 x N "descriptors": descriptors[None], # 1 x 128 x N }