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Fix model re-fuse() in inference loops (#466)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
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Glenn Jocher 2023-01-18 20:32:36 +01:00 • committed by GitHub
parent cc3c774bde
commit a86218b767
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22 changed files with 135 additions and 66 deletions
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6
ultralytics/yolo/v8/segment/predict.py
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@ -4,7 +4,7 @@ import hydra
import torch
from ultralytics.yolo.engine.results import Results
from ultralytics.yolo.utils import DEFAULT_CONFIG, ROOT, ops
from ultralytics.yolo.utils import DEFAULT_CONFIG, ROOT, is_git_directory, ops
from ultralytics.yolo.utils.plotting import colors, save_one_box
from ultralytics.yolo.v8.detect.predict import DetectionPredictor
@ -101,8 +101,8 @@ class SegmentationPredictor(DetectionPredictor):
@hydra.main(version_base=None, config_path=str(DEFAULT_CONFIG.parent), config_name=DEFAULT_CONFIG.name)
def predict(cfg):
cfg.model = cfg.model or "yolov8n-seg.pt"
cfg.source = cfg.source if cfg.source is not None else ROOT / "assets"
cfg.source = cfg.source if cfg.source is not None else ROOT / "assets" if is_git_directory() \
else "https://ultralytics.com/images/bus.jpg"
predictor = SegmentationPredictor(cfg)
predictor.predict_cli()