* node size is an estimation of the number of element to process on a given node, that may be used for parallelization.
* replace the explicit reference to an attribute on a node (Parallelization.inputListParamName)
* size can be:
* dynamic: depends on the size of the node connected to a specific Attribute
* static
* remove non user pertinent parameters
* revamp old updateInternals into buildIntrinsics method:
* works with node's current values + optional new images
* does not update the graph, making it thread safe and does not break undo/redo when used from UI
* returns updated intrinsics and views instead
* Add chunk notion for parallelization
* Allows Node desc to implement custom updateInternals
* CameraInit node implement a specific updateInternals to update the
input image list
* FeatureExtraction, FeatureMatching, DepthMap, DepthMapFilter:
implement parallelization
Inputs and outputs Attributes are now declared in two separate lists
* no more isOutput field on Attribute description
* guarantee attributes order (was not the case in Python2 with class attributes)
* Attribute's name is now part of its description
Note: for now, input and output Attributes are still stored in a single model inside a Graph.
