29 lines
964 B
Python
29 lines
964 B
Python
# train_merged.py
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# -*- coding: utf-8 -*-
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"""
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合并数据集训练脚本
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在服务器上运行：python train_merged.py
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"""
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from ultralytics import YOLO
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# 使用标准 YOLO11l-seg 模型（不要用 YOLOE！）
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model = YOLO("/home/rongye/ProgramFiles/Yolo/yolo11l-seg.pt")
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# 开始训练
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results = model.train(
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data="/home/rongye/ProgramFiles/Yolo/datasets/blind_guidance_merged/data.yaml",
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epochs=200, # 数据量大，增加轮次
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imgsz=640, # 训练分辨率
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batch=16, # 3090 显存足够
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device=1, # 第二块 3090
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workers=16, # 多线程加载
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cache='ram', # 192GB 内存全量缓存
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optimizer='AdamW',
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close_mosaic=15, # 最后15轮关闭mosaic
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amp=False, # 混合精度 (NaN时关闭)
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patience=30, # 早停耐心值
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project="blind_guide_project",
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name="yolo11l_blind_v2" # 版本2
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)
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