moving nano img

README.md

@@ -21,6 +21,9 @@ Check out [this video](https://www.youtube.com/watch?v=475nlIETSkw) to see this
 ## Prerequisites
 
 - **Hardware**: You need a [NVIDIA Jetson Nano device](https://developer.nvidia.com/embedded/buy/jetson-nano-devkit) ideally with a [5V-4A barrel jack power supply like this one](https://www.adafruit.com/product/1466), which requires a jumper cable (such as [these ones](https://www.amazon.com/120pcs-Multicolor-Jumper-Arduino-Raspberry/dp/B01BAXKDN4/ref=asc_df_B01BAXKDN4/?tag=hyprod-20&linkCode=df0&hvadid=198075247191&hvpos=1o1&hvnetw=g&hvrand=12715964868364075974&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9033288&hvtargid=pla-317965496827&psc=1)) on pins J48. See the [Power Guide section of the Jetson Nano Developer Kit](https://developer.nvidia.com/embedded/dlc/jetson-nano-dev-kit-user-guide) for more details. Alternatively, a 5V-2.5A Micro-USB power supply will work without a jumper cable but may limit the performance of your Deepstream application. In all cases, please make sure to use the default `Max` power source mode (e.g. 10W). To visualize the video feeds, you'll need an HDMI monitor and cable connected to your NVIDIA Jetson Nano.
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+![Jetson Nano](./assets/JetsonNano.png "NVIDIA Jetson Nano device used to run Deepstream with IoT Edge")
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 - **Flash your Jetson Nano SD Card**: download and flash either this [JetPack version 4.3 image](https://developer.nvidia.com/embedded/jetpack) if you have an HDMI screen or the [image from this NVIDIA course](https://courses.nvidia.com/courses/course-v1:DLI+C-IV-02+V1/info) otherwise (the course is a great free learning resource anyway). The image from the course is also based on JetPack 4.3 but includes an USB Device Mode to use the Jetson Nano without HDMI screen. For the rest of this tutorial will assume that you use the device in USB Device Mode. In any cases, you can use [BalenaEtcher](https://www.balena.io/etcher/) tool to flash your SD card. Both of these images are based on Ubuntu 18.04 and already includes NVIDIA drivers version, CUDA and Nvidia-Docker. 
 
 > [!WARNING]
@@ -75,8 +78,6 @@ head -n 1 /etc/nv_tegra_release
 - **Install VS Code and its the IoT Edge extension on your developer's machine**: On your developer's machine, get [VS Code](https://code.visualstudio.com/) and its [IoT Edge extension](https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.azure-iot-tools#overview). [Configure this extension with your IoT Hub](https://docs.microsoft.com/en-us/azure/iot-edge/how-to-deploy-modules-vscode#sign-in-to-access-your-iot-hub).
 - **Install VLC to view RTSP video streams**: On your developer's machine, [install VLC](https://www.videolan.org/vlc/index.html).
 
-![Jetson Nano](./assets/JetsonNano.png "NVIDIA Jetson Nano device used to run Deepstream with IoT Edge")
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 The next sections walks you step-by-step to deploy Deepstream on an IoT Edge device and update its configuration. It explains concepts along the way. If all you want is to see the 8 video streams being processed in parallel, you can jump right to the final demo by directly deploying the deployment manifest in this repo.
 
 ## Deploy Deepstream from the Azure Marketplace