| outMaskWrongSize | error |
| | outmaskset and inset have different dimensions.
|
| wholeImageUnmasked | error |
| | There are no TRUE-valued pixels in outmaskset.
|
| weightImageWrongSize | error |
| | weightset and inset have different dimensions.
|
| exposureMapWrongSize | error |
| | expimageset and inset have different dimensions.
|
| weightImageNegativeValues | error |
| | Some of the pixels of weightset have negative values.
|
| weightImageAllZero | error |
| | All the pixels of weightset are zero-valued.
|
| varianceImageWrongSize | error |
| | invarianceset and inset have different dimensions.
|
| varianceImageNegativeValues | error |
| | Some of the pixels of invarianceset have negative values.
|
| inImageNegativeValues | error |
| | No variance image was supplied, so the task has tried to use the inset as its own variance image. However this is not possible because some of the pixels of inset are negative-valued.
|
| badConvolverStyle | error |
| | The value of parameter convolverstyle was not recognized.
|
| badExpMapUse | error |
| | The value of parameter expmapuse was not recognized.
|
| badSmoothStyle | error |
| | The value of parameter smoothstyle was not recognized.
|
| badUserWidths | error |
| | The list of convolver widths userwidths was found not to be monotonically increasing, as it should be.
|
| badWidthRange | error |
| | The value of maxwidth was found to be less than or equal to minwidth.
|
| tooManyConvolvers | error |
| | More than 999 convolvers were generated while trying to calculate a library of convolvers from the template image intemplateset.
|
| badWidthScaleStyle | error |
| | The value of parameter widthliststyle was not recognized.
|
| noConvolvers | error |
| | The user has set smoothstyle=`adaptive' and withuserwidths=`yes', but hasn't supplied any convolvers in userwidths.
|
| convolverWidthsBadOrder | error |
| | The list of convolver widths userwidths was found not to be monotonically increasing, as it should be.
|
| minConvolverWidthEqualsZero | error |
| | This won't work with widthliststyle=log - in this case the user must specify a minwidth greater than zero.
|
| badIndexImage | error |
| | The maximum index found in the index image exceeds the number of convolvers.
|
| zeroNormConvolver | error |
| | The sum of the convolver elements is zero. Such convolvers are not allowed.
|
| indexImageWrongSize | error |
| | inindeximagearray and inset have different dimensions.
|
| indexImageNegativeValues | error |
| | Some of the pixels of inindeximagearray have negative values.
|
| uselessVarianceImage | warning |
| | The user has requested writevarianceset='yes', but the configuration of the task is such that no variance set has been calculated. That is, a variance set for the smoothed output is only calculated if readvarianceset=`yes' or smoothstyle=`adaptive'.
corrective action: A zero-valued variance set is written anyway.
|
| outMaskTooNarrow | warning |
| | This happens if there are substantial zero-valued areas of weightset which are not masked by outmaskset. The user can avoid this by either reducing the size of the holes in weightset or increasing the coverage of outmaskset.
corrective action: Pixels where this occurs are set to zero in outset and flagged in badmaskset.
|
| dynamicRangeTooLarge | warning |
| | The dynamic range is calculated by dividing max(abs(I)) by median(abs(I), I ne 0), where I is the weighted, exposure-corrected input image. If this value is larger than a cutoff (currently 40000), this warning is issued.
corrective action: No action.
|
| onlyOneConvolver | warning |
| | The user has set smoothstyle=`adaptive' and withuserwidths=`yes', but has only supplied one convolver in userwidths.
corrective action: Task proceeds as normal.
|
| negativeValuesInOutput | warning |
| | This warning only occurs if inset, weightset and all convolvers are everywhere non-negative. In this case one might expect that all values of the output image would also be non-negative. However, small negative values can sometimes occur if the FFT was used in the convolution. The user probably ought to check the output to make sure that it looks ok.
corrective action: Such pixels are set to zero.
|
| negativeValuesInVarianceOutput | warning |
| | Small negative values can sometimes occur if the FFT was used in the convolution. Even if this was the case, the user probably ought to check the output variance image to make sure that it looks ok. If the FFT was not used then it probably indicates a bug and you should contact the code developer.
corrective action: Such pixels are set to zero.
|
