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Release Notes for HALCON 20.05.0.1 Progress

Hotfix for HALCON 20.05.0.0 Progress

This document provides the release notes for MVTec HALCON 20.05.0.1 Progress, as released in July 2020, which is a Hotfix for HALCON 20.05.0.0 Progress. For general information like licensing or supported operating systems, see the release notes of HALCON 20.05.0.0 Progress.

Detailed Description of Changes in HALCON 20.05.0.1 Progress (Hotfix)

The changes in HALCON 20.05.0.1 Progress are described with respect to HALCON 20.05.0.0 Progress.

Deep Learning

  • If the system parameter "cudnn_deterministic" was specified as "true" and the model parameter "optimize_for_inference" was also "true", the training of this deep learning model did not use the corresponding deterministic cuDNN backward algorithm for convolution layers as required. Hence, the training of such a model was most likely not deterministic on a GPU. This problem has been fixed.

Matching

  • find_shape_model, find_shape_models, find_scaled_shape_model, find_scaled_shape_models, find_aniso_shape_model, find_aniso_shape_models, and find_shape_model_3d did not abort in a timeout error in rare cases where the operator was parallelized and a timeout was set. This problem has been fixed.

Licensing

  • When using a license bound to a dongle, HDevelop could periodically fail to communicate with the dongle and complain about a licensing error in response. This problem has been fixed.

Follow this link to read about the changes of previous HALCON versions.