[网盘]Python深度学习目标检测实践教程
计算机视觉-目标检测-通用解决方案框架Mask-Rcnn实践课程旨在帮助学员快速掌握当前目标检测领域的主流解决方案和网络框架构建原理，并基于开源项目解读其应用领域和使用方法.通过debug的方式，详细解读项目中各个模块的核心源码，从代码的角度理解网络的实现方式和建模过程。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。实践操作的全过程通俗地解释了复杂的网络架构。(The Computer Vision-Target Detection-General Solution Framework Mask-Rcnn practical course aims to help students quickly master the current mainstream solutions and network framework construction principles in the field of target detection, and interpret their application fields and usage methods based on open source projects. Through debug method, interpret the core source code of each module in the project in detail, and understand the implementation method and modeling process of the network from the perspective of code. In order to facilitate students to apply the project to their own data and tasks, examples demonstrate how to make labels and code adjustment methods for their own data sets. The whole process of actual combat operation explains the complex network architecture in a simple way.)
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