v1.0.0-rc.179 (#90)

* Rugnux: Stills processing needs only the unit cell and space group beyond what the file records - detector distance, beam centre, tilt, panel placement, saturation level, gain and polarisation plane are found from the images - and is up to twice as fast.
* Rugnux: Stills can be indexed without a GPU, with a CPU implementation of the fast-feedback indexer (macOS, computers without a GPU).
* Rugnux: Rotation and stills data are integrated in the detector's own units with one gain model, improving data from CCD detectors.
* Web frontend: The Rugnux live page shows the placed model with its electron density and anomalous difference map in a Mol* viewer.

Reviewed-on: #90
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>

image_analysis/image_preprocessing/ImagePreprocessorGPU.cu

@@ -329,6 +329,9 @@ ImagePreprocessorGPU::ImagePreprocessorGPU(const DiffractionExperiment &experime
       copy_image_to_host(copy_image_to_host),
       gpu_stats(1),
       cpu_stats(1) {
+    if (mask.GetMask().size() != npixels)
+        throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
+                              "Pixel mask size doesn't match the image");
     // Setup mask. The byte-per-pixel form and its checksum come from the PixelMask, which derives them
     // whenever the mask changes: they are the same for every worker, and deriving them walks every
     // pixel of the detector - 18 million of them on a 16 Mpx one, per engine, with an engine built per