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Restarting java point cloud demo often fails to reacquire pose data


Restarting java point cloud demo often fails to reacquire pose data

By : user2949342
Date : November 16 2020, 06:23 AM
may help you . I think there are two possible reasons causing this issue, one is the above you mentioned(connect disconnect life cycles), the other one could be the IR frame out of sync issue, as mentioned in Project Tango known issues, as it says:
"Occasionally, or when under high CPU load, the depth flash may appear in the color image, or no depth points are returned. Let the device cool down and/or reboot"
code :


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How to mark NULL data in Point Cloud Library (PCL) when using Iterative Closest Point (ICP)

How to mark NULL data in Point Cloud Library (PCL) when using Iterative Closest Point (ICP)


By : hellohuan
Date : March 29 2020, 07:55 AM
hope this fix your issue If you are using PCL, default value of invalid data is not NULL, but is NaN. So if you want to mark a point as invalid, you should first include file and then set the positions to 'std::numeric_limits::quiet_NaN()'. It is usually done like this
code :
const float bad_point = std::numeric_limits<float>::quiet_NaN();
if( is_invalid_point )
    p.x = p.y = p.z = bad_point;
How to estimate camera pose matrix of a new image I, from a known 3D point cloud (built without I) using OpenCV

How to estimate camera pose matrix of a new image I, from a known 3D point cloud (built without I) using OpenCV


By : Ade Candra
Date : March 29 2020, 07:55 AM
this will help Well, you obviously need to establish image point correspondences between the new view and the old ones using the point cloud, e.g. by matching image descriptors (SURF, ORB, ...) associated to the projections of cloud points in the old images, and matching them to interest points extracted in the new one.
You can then go through the usual process of removing outliers using the 5 or 8 point algorithm. Once you have good correspondences, you can just use solvePnP from the cloud points to their matched locations in the new image.
Is there any way to use Point Cloud Library (or similar) to get a skeleton from point cloud data like obj?

Is there any way to use Point Cloud Library (or similar) to get a skeleton from point cloud data like obj?


By : Murage Munene
Date : March 29 2020, 07:55 AM
this will help Even if it's not explicitly mentioned in the tutorial you linked, a quick to the code suggests that you can use different data sources (e.g. PCD files), so you're not stuck with the live capture from Kinect.
All the tutorial code really does is the following:
IBM Bluemix demo from GitHub, node.js cloudant sample, "Deploy to IBM cloud" button fails with unable to find

IBM Bluemix demo from GitHub, node.js cloudant sample, "Deploy to IBM cloud" button fails with unable to find


By : Nicowillot
Date : March 29 2020, 07:55 AM
Hope that helps The issue was with a temporary problem in one of the regions.
A solution can be to switch to another region where the open toolchain is available.
Spring Cloud Data Flow, failed to follow HTTP to MySQL Demo

Spring Cloud Data Flow, failed to follow HTTP to MySQL Demo


By : user3065310
Date : March 29 2020, 07:55 AM
this one helps. What you see in the sample, though, it, unfortunately, points to an older release. It is pointing to a link that results in 404 as well - sorry about that.
Please clean-slate the demo environment and retry with the latest Einstein apps. We have had some issue on the JDBC-sink after Spring Cloud Stream 2.x upgrade, and that has been resolved in the recent releases.
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