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RMS Errors
The solver control panel displays the root-mean-square (RMS) error for the selected camera or object, which is how many pixels, on average, each tracker is from where it should be in the image. [In more detail, the RMS average is computed by taking a bunch of error values, squaring them, dividing by the number of error values to get the average of their squares, then taking the square root of that average. It’s the usual way for measuring how big errors are, when the error can be both positive and negative. A regular average might come out to zero even if there was a lot of error!]
The RMS error should be under 1 pixel, preferably under 0.5 for well-tracked features. Note that during solving, the popup will show an RMS error that can be larger, because it is contains contributions from any constraints that have errors. Also, the error during solving is for ALL of the cameras and objects combined; it is converted from internal format to human-readable pixel error using the width of the longest shot being solved for. The field of view of that shot is also displayed during solving.
There is an RMS error number for each tracker displayed on the coordinate system and tracker panels. The tracker panel also displays the per-frame error, which is the number being averaged.
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