XC7K480T-1FFV901I_XC7Z100FFG900 Introduction

Excellent performance and excellent specifications let consumers once again call out: AMD YES!. Today, there is a lot of breaking news about AMD. First of all, AMD officially announced the new Zen 3 CPU architecture and brought the latest generation of Ryzen 5000 series desktop processors.

In the context of accelerated heterogeneous computing, "giant annexation" has become synonymous with this year. The person stressed that the acquisition had stalled for a time, so the outcome was unpredictable, but the two sides resumed dialogue and accelerated the transaction process. The deal could be completed as soon as next week, people familiar with the matter said, but there was no guarantee the deal would happen. On October 9, the Wall Street Journal reported that the US processor AMD (Super Microelectronics) is in advanced negotiations to acquire rival chip maker Xilinx (Xilinx Semiconductor), and the transaction value may exceed $30 billion.

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Judging from the official comparison data, the new generation of Ryzen 5000 series processors is much stronger than the tenth-generation products of competitors: Ryzen 9 5900X is 13% higher than i9-10900K in single thread and 23% higher in multi-thread. %, 3% better gaming performance at 1080p. Compared with the i7-10700K, the Ryzen 7 5800X is 9% higher in single thread, 11% higher in multi-thread, and the 1080p game performance is the same. Among them, the Ryzen 9 5900X processor has been praised by AMD as "the best gaming CPU in the world" - this title has always been in the hands of Intel. Compared with the i5-10600K, the Ryzen 5 5600X is 19% higher in single thread, 20% higher in multi-threading, and 13% higher in 1080p gaming performance. The brand new architecture, the strongest game processor should come, and so on, the party has not waited in vain.

Ultimately, Softnautics uses the solution for real-time scene text detection in video pipelines and uses a robust dataset to refine the model. It runs on the processing side (PS) using the N2Cube software. Softnautics took the Xilinx Vitis AI stack and used the software to provide acceleration to develop hybrid applications while implementing LSTM functionality for efficient sequence prediction by porting/migrating TensorFlow-lite to ARM. Image pre-processing/post-processing is implemented by Vivado using HLS, while Vitis's role is to perform inference using Connected Text Proposal Network (CTPN).

. But in recent years, AMD's data center processor business has been growing, and the competition with Intel, which has long dominated the field, has become increasingly fierce. The addition of Xilinx will put AMD in a better position to compete with Intel. , and capture a larger share of the fast-growing telecom and defense markets.

Text is one of mankind's most intelligent and influential creations. The rich and precise high-level semantics contained in text can help us understand the world around us and be used to build autonomous solutions that can be deployed in real-world environments. Therefore, automatic text reading in natural environments, also known as scene text detection/recognition or Photo OCR (Optical Character Recognition), has become a research topic of increasing interest and importance in the field of computer vision.

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This equates to a successful promotion of sales, which will compete on a higher level with the likes of Intel and Nvidia. Especially in the era of artificial intelligence, Xilinx also hopes to use this advantage to achieve the inheritance of Intel and Invida. Obviously, this is for Intel and Nvidia. In the face of competitors such as Intel and Nvidia, we should focus on the core competitiveness of sales, that is, the hardware level can be very flexible and adaptable according to different workloads and efforts, rather than competing with them in the traditional field. The introduction of acap will help salespeople compete with higher-level competitors in new markets. Since larger competitor altera has fallen into Intel's pocket in 2015, new competitors in sales have become Intel, nvida, and others. Flexibility is one of the core selling points of acap.

First, develop an OpenCV-based fast corner algorithm design and validate this algorithm using OpenCV-based test-inspired simulations. Finally, the functions in the rewritten OpenCV design are replaced with video functions of the corresponding functions provided by HLS, and synthesized using VivadoHLS, implemented in FPGA programmable logic or as a Zynq SoC hardware accelerator under the Xilinx development environment. Of course, these synthesizable codes can also run on a processor or ARM. Next, establish the OpenCV processing algorithm based on the video data stream chain, and rewrite the usual design of the previous OpenCV. This rewrite is to be the same as the HLS video library processing mechanism, which is convenient for the function replacement in the following steps. We use the example of fast corners to illustrate the process of implementing OpenCV with VivadoHLS.