MartyG
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Recent activity by MartyG-
The camera will have difficulty reading depth detail from a flat, textureless / low texture surface such as a wall. If the IR Emitter is enabled then the semi-random dot pattern that is projected ...
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The question is outside of my Python programming knowledge. The link below describes the method that a pyrealsense2 user applied to check pixel values though. https://github.com/IntelRealSense/lib...
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Apologies for the delay in responding further. I could find very little useful information on this question of how to validate array values, unfortunately. If you plan to dump array values to a cs...
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Hi Sheethal Ng It is possible to get distance readings of up to 65 meters when calculating distance as the 16-bit depth value multiplied by the default 0.001 (meters) depth scale. It is a theoret...
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Your question is outside of my electronics knowledge, unfortunately. I recommend posting your question on the RealSense GitHub forum, as there is more likely to be someone there with the electrica...
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Hi Sara Gagliolo I considered your case very carefully. If you are going to be using non-RealSense cameras in your hardware sync setup, I highly recommend reading about the new External Synchroni...
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If the scene being observed has good lighting then the camera can use ambient light in the scene (including sunlight) to analyse surfaces for depth detail instead of using the projector's dot patte...
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I am not able to test your project, unfortunately. If you have the IR projector active during your project, you could try turning it off as doing so can reduce noise by ~30%..
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Are you using C++, C# or Pyrealsense2 to program in, please?
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If you are using the point cloud processing block, there is a known memory leak in it. The link below provides advice about dealing with it. https://github.com/IntelRealSense/librealsense/issues/2...