Use samples in calibration node to determine the reference exposure for each grouped views. Write results in a text file in the same directory as the response file.
In the merge node, read the file containing the reference indexes and use them to compute the HDR image.

…ode refactoring.

LdrToHdrMerging: Use offsetRefBracketIndex parameter if it is in a suitable range regarding the number of views in a group. If not, use the indexes computed in the calibration node.

… image merging

merging: take bypass mode into account
calibration: compute a ref index for final exposure in linear mode

code simplification

Co-authored-by: Fabien Castan <[email protected]>

Remove useless ofstream closing

Compute reference index for merging within the merging node after reading luminance statistics provided by the calibration node through a text file.

Manage bypass mode by computing luminance statistics from images at the calibration stage.
Adjust the targeted luminance level for the output HDR image in case of non sRGB working space.

Code adjustment and cleaning.

Add bypass and calibrationMethod as parameters of sampling.cpp.
Move calibration method definition in brackets.hpp.
Redispatch luminance statistics computation between sampling and calib.
Create a simplified sampling mode.
Update luminance statistics file format.

make sure the luminance stat curve is monotonic before searching the best exposure.

…ror if non consistent group of exposures are detected.

Accept unaligned exposures between poses.
Add origin viewID in image samples.

Remove monotonicity check of the mean luminance curve. Such a check is done for every poses when the luminance statistic file is built.