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Recognize System On android And Web
我们实现的系统如下：
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Optimization Model Method
第一次实验 在实验中，我们基于数据集的特征和经验设计了一些超参数，展开第一次初始的训练得到了可供我们进行性能对比的基准结果。我们训练的设置如下： import warnings warnings.filterwarnings('ignore') from ultralytics import YOLO # 加载模型 model = YOLO('yolov8m.pt') # 开始训练任务 model.train(data="/data/coding/rec/data.yaml", epochs=200, batch=16, imgsz=640, lr0=0.005, device=0, weight_decay=0.0005, name='yolov8s_eucalyptus_advanced', # 可以使用focal loss处理类别不平衡 augment=True, # 启用数据增强 #fl_loss=1.5, # focal loss gamma参数 # 增加分类损失的权重，帮助更好区分背景 cls=1, box=0.08, iou=0.45, conf=0.5, hsv_h=0.1, # 色调增强 hsv_s=0.7, # 饱和度增强 hsv_v=0.4, # 明度增强...
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Welcome to Jekyll!
You’ll find this post in your _posts directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run jekyll serve, which launches a web server and auto-regenerates your site when...