to use the fpga object, see Create Host Interface Script to Control and Rapidly Prototype HDL IP Core (HDL Coder). Smartsheet is an intuitive online project management tool enabling teams to increase productivity using cloud, collaboration, & mobile technologies. We achieve this through a combination of automation, tooling, and telemetry. The Xilinx FPGA and Zynq SoC devices are extremely flexible and so there. Our goal is to accelerate time-to-market, mitigate risk, and enable scalability. You can then use fpga object to create a connection from MATLAB to the ZCU102 board and read the contents of the external DDR memory into MATLAB for validation. Logicworks Consulting VS Arvato Compare Logicworks Consulting VS Arvato and see what are their differences. The Xilinx design tools are designed to cater for both hardware and software engineers. Instruct the FPGA preprocessing logic to capture an input frame and send it to the external DDR memory. From the software model, you can tune and probe the FPGA design on the hardware by using Simulink External Mode. The HDL Workflow Advisor generates a software interface subsystem during Task 4.2 Generate Software Interface Model, which you can use in your software model for interfacing with the FPGA logic. Using the standard HDL Coder hardware/software co-design workflow, you can validate that the preprocessing logic works as expected on the FPGA. Individually validate the deep learning processor IP core functionality by using the Deep Learning HDL Toolbox™ prototyping workflow.ĭeploy and validate the entire system on a ZCU102 board.ĭeploy the entire system as an executable file on the SD card on the ZCU102 board.ġ. Individually validate the preprocessing logic on the FPGA board. In Task 1.1, IP Core Generation is selected for Target workflow and ZCU102-FMC-HDMI-CAM is selected for Target platform. Start the HDL Workflow Advisor from the model by right-clicking the DLPreProcess DUT subsystem and selecting HDL Advisor Workflow. to the unsafe use Logic Works), a datapath and control signals along with a. For more details refer to the Getting Started with Targeting Xilinx Zynq Platform (HDL Coder) example.ġ. As a result of many long meetings, inter-personal fighting, and the loss of. The design uses standard Xilinx IP blocks and a custom Verilog core that outputs a signal valid that is. In this example the only difference is that this reference design contains the generated deep learning processor IP core. Testing will be done in Vivados simulator. This workflow is the standard HDL Coder workflow. Start the HDL Coder HDL Workflow Advisor and use the Zynq hardware-software co-design workflow to deploy the preprocessing logic model on Zynq hardware. To create a custom video reference design that integrates the deep learning processor IP core, see Authoring a Reference Design for Live Camera Integration with Deep Learning Processor IP Core. To implement the preprocessing logic model on a ZCU102 SoC board, create an HDL Coder™ reference design in Vivado™ which receives the live camera input and transmits the processed video data to the deep learning processor IP core.
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