HongChuang/ultralytics-ascend
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Refactor Python code (#13448)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-06-09 02:32:17 +02:00 • committed by GitHub
parent 6a234f3639
commit 1b26838def
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22 changed files with 81 additions and 101 deletions
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21
ultralytics/models/yolo/world/train_world.py
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@ -54,16 +54,15 @@ class WorldTrainerFromScratch(WorldTrainer):
batch (int, optional): Size of batches, this is for `rect`. Defaults to None.
"""
gs = max(int(de_parallel(self.model).stride.max() if self.model else 0), 32)
if mode == "train":
dataset = [
build_yolo_dataset(self.args, im_path, batch, self.data, stride=gs, multi_modal=True)
if isinstance(im_path, str)
else build_grounding(self.args, im_path["img_path"], im_path["json_file"], batch, stride=gs)
for im_path in img_path
]
return YOLOConcatDataset(dataset) if len(dataset) > 1 else dataset[0]
else:
if mode != "train":
return build_yolo_dataset(self.args, img_path, batch, self.data, mode=mode, rect=mode == "val", stride=gs)
dataset = [
build_yolo_dataset(self.args, im_path, batch, self.data, stride=gs, multi_modal=True)
if isinstance(im_path, str)
else build_grounding(self.args, im_path["img_path"], im_path["json_file"], batch, stride=gs)
for im_path in img_path
]
return YOLOConcatDataset(dataset) if len(dataset) > 1 else dataset[0]
def get_dataset(self):
"""
@ -71,7 +70,7 @@ class WorldTrainerFromScratch(WorldTrainer):
Returns None if data format is not recognized.
"""
final_data = dict()
final_data = {}
data_yaml = self.args.data
assert data_yaml.get("train", False) # object365.yaml
assert data_yaml.get("val", False) # lvis.yaml
@ -88,7 +87,7 @@ class WorldTrainerFromScratch(WorldTrainer):
grounding_data = data_yaml[s].get("grounding_data")
if grounding_data is None:
continue
grounding_data = [grounding_data] if not isinstance(grounding_data, list) else grounding_data
grounding_data = grounding_data if isinstance(grounding_data, list) else [grounding_data]
for g in grounding_data:
assert isinstance(g, dict), f"Grounding data should be provided in dict format, but got {type(g)}"
final_data[s] += grounding_data