Improved: The neural network behind the DL_DetectFeatures tool is now pre-trained with a large database of images.As a result, the tools is much faster (~20% faster on GPU, twice as fast on CPU) while accuracy is preserved or better (depending on the use case). We used a set of 15 industrial and non-industrial use cases as a benchmark, and performed both manual and automatic (ProxylessNAS) architecture optimization. Improved: The architecture of the neural network behind the DL_DetectFeatures tool has been re-optimized.Improved: The DL_ReadCharacters tool now comes with a new model, "Scalable", that is based on "Balanced", but supports a wide range of character height (20-100 px).Improved: The DL_ReadCharacters (Fast) tool has been further optimized, giving ~10% lower inference time.Improved: The DL_ReadCharacters tool now comes with re-designed character scoring function, yielding significantly less False Negatives for confusing characters (like 0 vs O or I vs l).Improved: The DL_ReadCharacters tool has been re-trained on an even larger database of images, now including significant amount of currency symbols ($, €, £, ¥, ¢), special characters (+, =, % etc.) and new industrial fonts (most notably the OCR A).DL_LocateText detects text at any orientation in the range of ☙0 degrees, and handles font sizes between 20 and 50 pixels. Use it to find the ROI (region of interest) for DL_ReadCharacters whenever text location cannot be determined with simpler means. It does not require any training and automatically detects text (words) in images. New: A completely new tool is available, DL_LocateText.Release Notes: Zebra Aurora Vision Studio™ 5.3
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |