Python深度学习物体检测实践
计算机视觉-物体检测-通用解决方案框架Mask-Rcnn实践课程旨在帮助学员快速掌握物体检测领域当前主流解决方案和网络框架搭建原理，并基于开源项目解读其应用领域和使用方法 . 通过调试方法，详细解读项目中各个模块的核心源码，从代码的角度了解网络实现方法和建模过程。 为了方便同学们将项目应用到自己的数据和任务中，实例演示了如何为自己的数据集制作标签和代码调整方法，以及实践操作的全过程，并讲解了复杂的网络架构 以简单的方式。(The mask RCNN practical course of computer vision object detection general solution framework aims to help students quickly master the current mainstream solutions in the field of object detection and the construction principle of network framework, and interpret its application fields and application methods based on open source projects Through the debugging method, interpret the core source code of each module in the project in detail, and understand the network implementation method and modeling process from the perspective of code. In order to facilitate the students to apply the project to their own data and tasks, an example demonstrates how to make labels and code adjustment methods for their own data sets, as well as the whole process of practical operation, and explains the complex network architecture in a simple way.)
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