The newest HALCON version has been released today and – reflecting the release date – it is named: HALCON 18.05.
最新的HALCON版本已于今天发布，并反映了发布日期——它的名字是:HALCON 18.05。
The most important highlight of this release is that customers are now able to perform deep learning inference on CPUs. This CPU inference has been highly optimized for Intel®-compatible x86 CPUs. Removing the need for a dedicated GPU greatly increases the operational flexibility. E.g., industrial PCs that usually are not designed for housing large and powerful GPUs can now easily be used for deep-learning-powered classification (inference).
这个版本最重要的亮点是，客户现在能够在cpu上执行深度学习推理。这一CPU推理已经对Intel兼容的x86 CPU进行了高度优化。消除对专用GPU的需求极大地增加了操作的灵活性。例如，通常不为大型和强大的gpu设计的工业pc现在可以很容易地用于深度学习的分类(推理)。
Additionally, HALCON 18.05 offers optimized functions for surface-based 3D matching, which can be used to determine the position of objects in 3D space more reliably.
此外，HALCON 18.05提供了基于表面的三维匹配的优化功能，可以更可靠地用于确定三维空间中物体的位置。
Furthermore, bar codes with very small line widths as well as strongly blurred codes can now be read more robustly thanks to optimized edge detection. Moreover, the quality of the bar codes is also verified in accordance with the most recent version of the ISO/IEC 15416 standard.
此外，由于优化的边缘检测，具有非常小的线宽和强模糊代码的条码现在可以更有力地读取。此外，条形码的质量也符合ISO/IEC 15416标准的最新版本。
The deflectometry functionality has also been enhanced. It now includes a new pattern type that improves the precision and robustness of error detection especially on partially specular surfaces.
偏转的功能也得到了增强。它现在包括一种新的模式类型，提高了错误检测的精度和鲁棒性，特别是在部分镜面上。
For developers, HALCON 18.05 makes it much more comfortable to work with handles by clearing these automatically once they are no longer required. This significantly reduces the risk of creating memory leaks and makes writing "safe code" much simpler.
对于开发人员来说，HALCON 18.05使他们在不再需要的时候自动清理这些处理程序更舒服。这大大降低了创建内存泄漏的风险，并使编写“安全代码”更加简单。
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