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resources:eval:user-guides:ad-96tof1-ebz:ug_xavier_nx [16 Sep 2021 15:21] – [Prepare SD card] Septimiu Vana | resources:eval:user-guides:ad-96tof1-ebz:ug_xavier_nx [17 Dec 2021 13:01] (current) – Add point cloud description Septimiu Vana | ||
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===== Running the evaluation application ===== | ===== Running the evaluation application ===== | ||
- | [[https:// | + | [[https:// |
- | {{navigation AD-96TOF1-EBZ#none#.:|Overview# | + | Once Linux boots you'll see on the HDMI monitor the Linux desktop and on the top left corner a shortcut to the evaluation application. Double clicking on the icon will start the evaluation application. A console window will open to show the application' |
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+ | {{: | ||
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+ | When starting the application, | ||
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+ | The evaluation application allows to do live streaming of depth and IR data as well as recording the depth and IR data and playing back from a file. The depth data is displayed as a color map ranging from warm to cold colors as the distance from the camera increases. A point in the middle of the depth image shows the distance in mm to the target. | ||
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+ | There are 3 operating modes that determine the range of the system: | ||
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+ | * Near - 25cm to 80cm | ||
+ | * Medium - 30cm to 4.5m | ||
+ | * Far - 3m to 6m | ||
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+ | When in a certain operating mode the system will measure distances outside of the mode's range but those will not be accurate. | ||
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+ | The evaluation application also displays the temperature in deg C of the camera (AFE) and laser boards as read from the temperature sensors installed on each board. | ||
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+ | The framerate at which data is acquired from the system is constantly updated on the GUI. The camera board outputs data at 30 frames per second (fps), but due to USB connection limitations, | ||
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+ | ==== Enabling the point cloud display in aditof-demo ==== | ||
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+ | * The demo application has the capability to display a point cloud image if it detects an OpenCV module called viz. | ||
+ | Unfortunately OpenCV does not provide binaries for this module so a manual build is needed. The steps required to | ||
+ | install OpenCV and include it in the project are presented here: | ||
+ | [[https:// | ||
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+ | * If aditof-demo finds all the OpenCV required modules a button in the interface will allow you to display the point cloud. By toggling the button a separate window will appear. | ||
+ | {{ :resources: | ||