jpeg压缩的matlab代码-ComCNN-RecCNN:论文代码“基于卷积神经网络的端到端压缩框架”。中华网

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jpeg压缩的matlab代码ComCNN-RecCNN 论文代码“基于卷积神经网络的端到端压缩框架”。 中华网 框架 要求 Windows10的 Matlab R2015b MatconvNet 1.0-beta23() CUDA 8.0(CPU正常) 怎么跑 训练 我们在文件夹ComCNN/RecCNN_model和RecCNN\data\model提供了RecCNN和ComCNN的ComCNN/RecCNN_model RecCNN\data\model 。 生成RecCNN模型的训练数据(使用预先训练的ComCNN或新建的ComCNN模型)。 训练RecCNN模型,并将生成的RecCNN模型复制到ComCNN/RecCNN_model 生成ComCNN模型的训练数据。 训练ComCNN模型(在训练过程中使用新产生的RecCNN模型),并将产生的ComCNN模型复制到RecCNN\data\model 。 重复上述四个步骤几次,直到模型稳定为止。 测验 通过培训阶段,获得了新生成的ComCNN和RecCNN模型。 执行ComCNN ComCNN/Demo_Test_Qp_30.m

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