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ultralytics 8.2.50 new Streamlit live inference Solution (#14210)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: RizwanMunawar <chr043416@gmail.com>
Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
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Glenn Jocher 2024-07-05 22:02:38 +02:00 • committed by GitHub
parent 5f0fd710a4
commit 26a664f636
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ultralytics/models/yolo/world/train_world.py
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@ -72,8 +72,8 @@ class WorldTrainerFromScratch(WorldTrainer):
"""
final_data = {}
data_yaml = self.args.data
assert data_yaml.get("train", False) # object365.yaml
assert data_yaml.get("val", False) # lvis.yaml
assert data_yaml.get("train", False), "train dataset not found" # object365.yaml
assert data_yaml.get("val", False), "validation dataset not found" # lvis.yaml
data = {k: [check_det_dataset(d) for d in v.get("yolo_data", [])] for k, v in data_yaml.items()}
assert len(data["val"]) == 1, f"Only support validating on 1 dataset for now, but got {len(data['val'])}."
val_split = "minival" if "lvis" in data["val"][0]["val"] else "val"