Update app.py
Browse files
app.py
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@@ -304,10 +304,24 @@ print(train_dataset[:2]) # 查看训练集的前两个样本
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# 如果你知道确切的子集名称,也可以直接加载它
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# train_dataset = load_dataset('fka/awesome-chatgpt-prompts', split='train')
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'''
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from datasets import load_dataset
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dataset = load_dataset("aspnet/yoloensembledata")
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#print(dataset)
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print(dataset['train'])
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print(dataset.keys())
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print(dataset['test'])
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print(dataset['validation'])
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# 如果你知道确切的子集名称,也可以直接加载它
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# train_dataset = load_dataset('fka/awesome-chatgpt-prompts', split='train')
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'''
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#############################
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'''
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from datasets import load_dataset
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dataset = load_dataset("aspnet/yoloensembledata")
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#print(dataset)
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print(dataset['train'])
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print(dataset.keys())
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print(dataset['test'])
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print(dataset['validation'])
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'''
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#########################
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from ultralytics import YOLO
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# Load a model
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model = YOLO("yolov8n.yaml") # build a new model from YAML
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model = YOLO("yolov8n.pt") # load a pretrained model (recommended for training)
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model = YOLO("yolov8n.yaml").load("yolov8n.pt") # build from YAML and transfer weights
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# Train the model
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results = model.train(data="coco8.yaml", epochs=100, imgsz=640)
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