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Evaluation result OK/NG - If one branch provides a result OK
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Image - The results from all branches are mapped to the original image (image before parallelism). This works also with using preprocessing (cut, scale) in the branches when results will be adjusted to fit the original image.
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In order to use Parallelism, firstly, add it from the Modules tab, then you have 3 options to move modules around its branches:
Use the + button to add a module directly to the desired branch.
Use the arrow to move a module to Parallelism branches.
Once a module is added to a branch, you can use a side arrow to move a module to the right or left.
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In the final position we have two Modules. An evaluation from Classifier and an evaluation from Detector. In the resulting image we are going to see rectangles from both modules with their corresponding classes.