Video Processing with FPGA

🎓 Course Title: Video Processing with FPGAs

Course Headline:

Digitronix Nepal Presents: Implementing Computer Vision Algorithms on Xilinx Zynq FPGA with VIVADO High-Level Synthesis & SDK 🚀

Course Description:

Embark on a fascinating journey into the world of Video Processing with FPGAs, where you'll learn to implement cutting-edge Computer Vision algorithms on the powerful Xilinx Zynq FPGA platform using VIVADO High-Level Synthesis (HLS) and the SDK. This course is meticulously designed for enthusiasts and professionals looking to harness the potential of hardware-accelerated video processing.

What You'll Do:

• Implement Sobel Edge Detection, Dilation, Histogram Equalization, and Fast Corner detection algorithms using HLS, which allows you to write code that maps directly onto the FPGA fabric without needing to understand the low-level hardware details. 🤖
• Simulate your algorithms with real image inputs, ensuring that your implementations work as expected before moving on to hardware integration. 🖼️
• Generate and export High-Level Synthesis (HLS) IP cores that can be easily integrated into your larger video processing pipeline. 🔍
• Integrate the HLS IP with a robust video processing pipeline, leveraging the powerful combination of TPG (Test Pattern Generator) and VDMA (Video Direct Memory Access) for seamless image stream processing on the DDR memory. 🌐
• Implement your processed video onto an actual FPGA device, witnessing the real-time execution of your algorithms in hardware. 💻➡️🔧

Debugging and Testing:

• Utilize VIVADO tools to perform comprehensive debugging on the FPGA, ensuring that your implementation is both efficient and reliable. 🛠️
• Initialize TPG IP for pattern generation and VDMA for efficient image stream processing on the DDR. 🎞️⚙️

Key Takeaways:

Upon completion of this course, you will be equipped with:

1. Mastery of HLS Video Processing Library, enabling you to implement and simulate OpenCV algorithms on HLS. ✅
2. Integration Skills: Integrate the HLS IP into a video processing pipeline, with TPG and VDMA for FPGA implementation. 🔗
3. XfOpenCV Implementation: Utilize the SDSoC library for OpenCV algorithms within HLS, migrating your implementations from standard OpenCV to XfOpenCV. 🔁
4. Advanced Debugging Techniques for hardware-accelerated video processing on FPGAs. 🕵️‍♂️

Join us at Digitronix Nepal and unlock the potential of FPGAs in Video Processing and Computer Vision! With hands-on learning and real-world applications, this course is your gateway to becoming an expert in implementing complex algorithms on FPGA hardware. 🎇

Enroll now and transform your skills in the realm of digital signal processing, computer vision, and hardware development with VIVADO HLS and Xilinx Zynq FPGAs! 💡