Peppa Pig Face Landmark项目旨在利用机器学习技术，自动识别人脸并准确地标记出Peppa Pig脸部的关键特征点，如眼睛、鼻子和嘴巴的位置。虽然项目以Peppa Pig为主题，但其实它的算法原理可以广泛应用到其他类似卡通人物或动物的脸部检测任务。
基于pytorch的人脸识别模型集成，backbone模型包含各规格的VGG、Inception、DenseNet、RestNet、NasNet模型
基于曲率优化提升模型鲁棒性
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