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The support of VivadoHLS for OpenCV does not mean that the OpenCV function library can be directly synthesized into RTL code, but the code needs to be converted into synthesizable code. These synthesizable video libraries are called HLS video libraries, provided by VivadoHLS.

Using Xilinx's VivadoHLS high-level language synthesis tool, you can easily convert OpenCV C video processing design to RTL code, output Zynq's hardware accelerator or directly implement real-time hardware video processing on FPGA. OpenCV has thousands of users, and OpenCV is designed to run on ARM processors of Zynq devices without modification, but high-definition processing using OpenCV is often limited by external memory, especially memory bandwidth can become a performance bottleneck, Memory access also limits power efficiency.

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The full programmability of the Zynq-7000 enables automakers and automotive electronics suppliers to not only accelerate time-to-market and focus on product innovation, but also reprogram products in response to changing standards and regulatory requirements. This powerful combination significantly improves performance relative to solutions that require multiple chips. The Xilinx Zynq-7000 All Programmable SoC family is the industry's first SoC family to integrate an ARM dual-core Cortex-A9 MPCore processing system and tightly integrated programmable logic on a single chip. Achieving the same level of performance with a multi-chip solution increases cost, complexity, and power consumption.

Accelize provides a DRM-enabled distribution platform for FPGA-accelerated applications and IP cores, increasing revenue for customers worldwide through instant, scalable and secure deployment. The platform supports any CSP such as AWS, Huawei, Alibaba, Nimbix or Xilinx Alveo boards for on-premises deployment.

"The automotive-grade Zynq-7000 All Programmable SoC combines an FPGA and a high-performance embedded processor, making it the most efficient solution for real-time computer vision applications," said Roberto Marzotto, a design engineer at eVS. Applications require high-intensity low-level pixel computation and advanced complex control algorithms, with optimal partitioning between software/hardware.

FPGA accelerated HEIF-to-JPEG transcoder, HEVC decoding Free version of FPGA HEVC decoder on AWS F1 instances. FPGA-Accelerated Derivatives Pricing Models This work is well suited to address the computationally intensive and high operational costs associated with derivatives portfolio and risk management services within financial institutions.

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OpenCV does not have a data structure for vectors, but when we want to represent vectors, we need to represent them with matrix data. However, CvMat is more abstract, and its element data types are not limited to basic data types, but can be any predefined data types, such as RGB or other multi-channel data. In openCV, the CvMat and IplImage types are more focused on "images", especially with a certain degree of optimization for image operations in them.

However, at 7nm, FPGA speed and density are greatly increased, and power consumption is also lower, so this competitive landscape may change, especially for ASICs and FPGAs. Intel's 10nm is still delayed, allowing Xilinx to dominate the FPGA market after acquiring Altera, in addition to the cloud market that Intel is focusing on. Split the SoC prototyping and emulation market. Flexibility and adaptability are the main selling points of ACAP. Especially in the era of artificial intelligence, Xilinx also hopes to realize the future of Intel and Nvidia through this advantage. Apparently this applies to Intel and Nvidia. The introduction of ACAP will help Xilinx compete with higher-level competitors in new markets. The competition between FPGAs and ASICs will continue.