XC7Z035-1FBG484C_XC7Z012S-1CLG485C Introduction

Below are details on specific product portfolio capabilities, silicon process advantages and benchmark comparisons. Xilinx devices enable high power efficiency for all product portfolios, including Spartan-6 series and 7 series, UltraScale™ and UltraScale+™ FPGAs and SoCs, through select silicon processes and power architectures. With each product generation, Xilinx continues to enhance its power-saving features, including process improvements, architectural innovations, voltage scaling strategies, and advanced software optimization strategies. Power estimates, thermal models, full software support and demo boards are now publicly available for all product families.

In particular, the Ryzen and Xiaolong processors have achieved fruitful results from notebooks to desktops to data centers. "AMD Yes" is the biggest comment by netizens on AMD's gradual entry into a high-profile moment. Since October 2014, Su Zifeng has been promoted to president and CEO. Su Zifeng, who has a strong and friendly style, is also affectionately called by fans. "Mom Su". In terms of graphics cards, it has also fought with NVIDIA, and has won the favor of Sony, Microsoft consoles and Samsung mobile phones.

XC7Z035-1FBG484C_XC7Z012S-1CLG485C

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XC7Z035-1FBG484C_XC7Z012S-1CLG485C

The VivadoHLS video processing library uses the hls::Mat<> data type, which is used to model the processing of video pixel streams, and is essentially equivalent to the hls::steam<> stream type, rather than stored in external memory in OpenCV. matrix matrix type. Therefore, in the design of OpenCV with VivadoHLS, it is necessary to modify the input and output HLS synthesizable video design interface to the Video stream interface, that is, use the video interface provided by HLS to synthesize the function to realize AXI4 video stream to VivadoHLS in hls ::Mat<> type conversion.

In the OpenCV type relationship, we can say that the IplImage type inherits from the CvMat type, and of course other variables are included to parse it into image data. The IplImage type has many more parameters than CvMat, such as depth and nChannels. Another optimization of IplImage for images is the variable origin, to compensate for this, OpenCV allows users to define their own origin settings.