Visual Mesh 2.1.0
This release upgrades and improves several parts of the Visual Mesh
Upgrades:
- Upgraded the target TensorFlow version to 2.5
- Improved the quality and reliability of seeker networks by changing the loss function and allowing blank seekers
- Removed the Radial networks as they could not pass clang-tidy and are similar in performance to ring
- Add the ability for the CPU engine to process Bayer pattern images
- Make image generation a part of the flavours system so new progress images can be added easily
Bug Fixes:
- Allowed the library to build/install without examples or the plugin
- Add k to the make_dataset script
- Output images progress individually so it can work when the dataset has images of different sizes
- Ran clang-tidy over the codebase and made many fixes