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README.md

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# RFSoC Frequency Planner
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This RFSoC Frequency Planning tool is derived from an original tool released by Xilinx for their Zynq Ultrascale+ RFSoC line of devices. The original tool, and more information about the RFSoC can be found [here](https://www.xilinx.com/products/silicon-devices/soc/rfsoc.html).
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This repository consists of two branches. The ```main``` branch is used for the standalone web application that is hosted on [Heroku](https://rfsoc-frequency-planner.herokuapp.com/). The ```rfsoc_studio``` branch is compatible with the [PYNQ image v2.7](https://github.com/Xilinx/PYNQ/releases) for the ZCU111 and RFSoC2x2 development boards.
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This repository consists of two branches. The ```main``` branch is used for the standalone web application that is hosted on [Heroku](https://rfsoc-frequency-planner.herokuapp.com/). The ```rfsoc_studio``` branch is compatible with [PYNQ image v2.7](https://github.com/Xilinx/PYNQ/releases).
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<p align="center">
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<img src="./demonstration.gif" />
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<p/>
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## PYNQ Quick Start
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All that is required to install the RFSoC frequency planner on to your development board is running a simple line of code in the command line. **However, you will need to connect your board to the internet.** Follow the instructions below to install the frequency planner now.
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* Power on your RFSoC2x2 or ZCU111 development board with an SD Card containing a fresh PYNQ v2.7 image.
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* Power on your PYNQ enabled development board with an SD Card containing a fresh PYNQ v2.7 image.
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* Navigate to Jupyter Labs by opening a browser (preferably Chrome) and connecting to `http://<board_ip_address>:9090/lab`.
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* We need to open a terminal in Jupyter Lab. Firstly, open a launcher window as shown in the figure below:
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* Now simply run the code below that will install the frequency planner to your system.
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```sh
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pip3 install git+https://github.com/strath-sdr/rfsoc_frequency_planner@rfsoc_studio
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pip3 install git+https://github.com/strath-sdr/rfsoc_frequency_planner
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```
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Once installation has complete you will find the Frequency Planner notebooks in the Jupyter workspace directory. The folder will be named 'frequency-planner'.

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