SUSTechPOINTS
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autoanatation bus or truck not accurate
After i deploy the app in ubuntu , i copy my own pcd file into dataset catogory as the example dataset fromat, when i use CTRL+ draw a rectangle enclosing the object, I found there is soming maybe not accurate。
1、draw a rectangle enclosing a car ,the result is approximately right.
2、draw a rectangle enclosing a bus or truck ,the result i see is not right. (see the screen shot)
3、i review the code simplely found the auto annotation bakend process :
- call the method ‘predict_rotation’ ---use model predict the rotation between the box and the pointcloud target ?
- use the angle generate the eular_delta ,translate box ,use strategy calculate the the fitted tartget box? Can anyone help me answer my question?
it is caused probably by the incorrect ground removal, as can be seen in the s reenshot there are points under the ground level, and a patch of extra points behind the bus. Is the point cloud combined (inaccurately) from multipe scans?
On Thu, Nov 30, 2023, 10:35 TONY SUN @.***> wrote:
After i deploy the app in ubyntu , i copy my own pcd file into dataset catogory as the example dataset fromat, when i use CTRL+ draw a rectangle enclosing the object, I found there is soming maybe not accurate。
1、draw a rectangle enclosing a car ,the result is approximately right. 2、draw a rectangle enclosing a bus or truck ,the result i see is not right. (see the screen shot) lADPJwKt6DHAnXPNC9DND8A_4032_3024.jpg (view on web) https://github.com/naurril/SUSTechPOINTS/assets/13147226/e6aa4f65-19a7-4735-abd4-efa632a766b1 lADPJw1WZCAWy4DNC9DND8A_4032_3024.jpg (view on web) https://github.com/naurril/SUSTechPOINTS/assets/13147226/f5f29f56-c2bb-465f-8b3c-1dfa263c6c81
3、i review the code simple found the auto annotation bakend process :
- call the method ‘predict_rotation’ ---use model predict the rotation between the box and the pointcloud target ?
- use the angle generate the eular_delta ,translate box ,use strategy calculate the the fitted tartget box? Can anyone help me answer my question?
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this screenshot comes with the example dataset, if draw a rectangle,the bigger the predict incorrect more happens.