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所在平台: Udemy |
课程主页: https://www.udemy.com/course/video-processing-with-fpga/
课程评论：没有评论
**课程名称：** FPGA视频处理 **课程概述：** 本课程专注于在FPGA上实现各种视频处理算法。我们将使用高级综合（HLS）技术来实现算法，通过输入图像进行仿真，然后生成并导出HLS IP核。接着，我们将HLS IP核与必要的视频处理流水线（块设计）集成，并在FPGA设备上实现。 课程中，我们将在HLS和FPGA上实现诸如Sobel边缘检测、膨胀、直方图均衡化、Fast角点检测等算法。为了在FPGA上调试算法，我们将初始化测试模式生成器（TPG）IP核和视频DMA（VDMA）IP核，用于在处理系统的协助下，对DDR中的图像流进行处理。 **完成课程后，您将能够：** * 熟练使用HLS视频处理库，并在HLS中实现和仿真不同的OpenCV算法。 * 将HLS IP核与包含TPG和VDMA的视频处理流水线集成，并在FPGA设备上实现。 * 在HLS中实现XfOpenCV（SDSoC）库，用于计算机视觉任务。 * 将OpenCV算法迁移到XfOpenCV。
This Course is on implementing different Video Processing algorithm on FPGA. We implement the algorithm on High Level Synthesis [HLS], simulate it with the image input, generate & export IP from the HLS. The HLS IP is integrated with the necessary video processing pipeline [block design] and implemented on the FPGA Device.We have "Implemented Sobel Edge Detection, Dilation, Histogram Equalize, Fast Corner like algorithm" on HLS and then FPGA. For the debugging the algorithm on the FPGA, we have initialized the Test Pattern Generator [TPG] IP and Video DMA [VDMA] for processing the image streams on the DDR with the Processing System involvement.After Completing this course you will be able to:Utilized the HLS Video Processing Library and Implement as well as Simulate different OpenCV Algorithm on HLSIntegrating the HLS IP with Video Processing Pipeline with TPG and VDMA and Implementing on the FPGA Device.Implementing the XfOpenCV [SDSoC] Library on HLS for Computer VisionMigrating the OpenCV algorithm into XfOpenCV
