matlab不运行一段代码-Chess-piece-movement-tracker:在深度学习的帮助下跟踪棋子的运动

上传者: 38705640 | 上传时间: 2022-05-23 21:27:01 | 文件大小: 5.36MB | 文件类型: ZIP
matlab不运行一段代码棋子运动跟踪器 在深度学习的帮助下跟踪棋子的运动。 演示: 欢迎使用棋子移动追踪器! 该项目的主要目标是检测棋子的运动。 为了实现这一点,我使用深度学习模型扫描了64个空间中的每一个,以找出该空间中是否有棋子,然后将结果显示在图形界面上。 深度学习模型识别空间是否为空。 流程图 第一步是拍照棋盘。 之后,仅切出棋盘。 为此,我得到了棋盘的四个角,并在该角的基础上裁剪了棋盘并执行了透视变换,以便校正图像中的任何倾斜。 *转换后,将其分成尺寸为75x75的64张图像,并保存到名为“ img”的文件夹中。 然后从python代码中调用MATLAB函数,该函数读取“ img”文件夹中的图像并将其馈送到模型中,然后将预测结果返回到包含预测结果的python变量中。 基于该结果,将运行小型GUI,显示所有检测到的碎片。 GUI是使用pygame实现的。 深度学习模型架构 该模型是在MATLAB中实现和训练的。

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