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High-level dataflow programming for real-time image processing on smart cameras

机译:用于智能相机上实时图像处理的高级数据流编程

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We describe the application of the caph programming language to the implementation of complex real-time image processing application on a FPGA embedded in a smart camera architecture. caph is based upon the dataflow model of computation. Applications are described as networks of purely dataflow actors exchanging tokens through unidirectional channels and the behavior of each actor is defined as a set of transition rules using pattern matching. We show that this model is naturally suited to the description of applications operating on the fly on digital video streams and supports a fully automated compilation path producing efficient VHDL code. This is demonstrated on an application performing the extraction of HOG (histogram of oriented gradient) feature vectors in real time on the dreamcam smart camera, an experimental platform developed at our institute.
机译:我们描述了caph编程语言在嵌入式智能相机架构中的FPGA上实现复杂实时图像处理应用程序中的应用。 caph基于计算的数据流模型。应用被描述为通过单向通道交换令牌的纯数据流参与者网络,每个参与者的行为被定义为使用模式匹配的一组转换规则。我们证明了该模型自然适用于在数字视频流上动态运行的应用程序的描述,并支持产生高效VHDL代码的全自动编译路径。这是在一个应用程序上进行演示的,该应用程序在我所开发的实验平台Dreamcam智能相机上实时提取HOG(定向梯度直方图)特征向量。

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