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The parameter “Greediness” defines a tradeoff between speed and completeness. On the one hand, the search speed can be increased by discarding candidates earlier based on a less strict criterion,…Read More
Gain ‘Deep Learning’ out of the Box with HALCON 17.12. Users will be able to train their own classifier using CNNs (Convolutional Neural Networks). After training the CNN, it can…Read More
Let’s have a look at some helpful tools that are provided to simplify the debugging process in HDevelop. Beside some well-known tools, such as “line-based breakpoints” and “stepping through the…Read More
A recommended practice for setting up classification tasks and OCR: Regularly review your growing set of training data with the HDevelop OCR Training File Browser – while developing the segmentation part, but also…Read More