颜色分类leetcode-Traffic-Sign-Detection:实时交通标志检测和分类

上传者: 38642349 | 上传时间: 2023-04-11 14:56:53 | 文件大小: 26.78MB | 文件类型: ZIP
颜色分类leetcode 实时交通标志检测和分类 使用 SSD 的新版本将于今年夏天发布,供任何需要更高精度检测方法的人使用。 请继续关注新的更新! 1. 说明 该项目是一个使用 OpenCV 的视频交通标志检测和分类系统。 检测阶段使用图像处理技术在每个视频帧上创建轮廓并在这些轮廓中找到所有椭圆或圆。 它们被标记为交通标志的候选对象。 检测策略: 增加视频帧的对比度和动态范围 使用 HSV 颜色范围去除不必要的颜色,如绿色 使用 Laplacian of Gaussian 显示对象的边界 通过二值化制作轮廓。 检测椭圆形和圆形轮廓 在下一阶段 - 分类阶段,通过基于候选坐标从原始帧中裁剪来创建图像列表。 预训练的 SVM 模型将对这些图像进行分类,以找出它们是哪种类型的交通标志。 当前支持的交通标志(每个标志文件的名称与其在 SVM 中的类相对应): 注意: 所有属于 8 级及以上的标志都被标记为OTHERS,因为比赛需要这样做。 还有一个 0 类被标记为非交通标志 仅对当前帧中最大的标志进行裁剪和分类 每次main.py调用时都会训练 SVM 模型,在检测阶段之前,但我仍然保存模型

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