Eyegrade 0.7 has been released! This release includes two main changes from the point of view of the final user:
- Improved algorithms for the detection of manuscript digits and cell crosses, based on support vector machines. The system is much more precise now than in previous versions of Eyegrade. This feature is based on the valuable contribution of Jorge Arqüello, who developed its first version.
- Distribution of binary packages built with PyInstaller, and a Windows installer built with NSIS.
Access the binary files for this release at the downloads page.