New
Torchvision 0.23 release
Highlight - Transforming KeyPoints and Rotated boxes!
📦 This release is introducing two highly popular feature requests: Transforms support for KeyPoints and Rotated Bounding Boxes!
- Rotated Bounding Boxes provide a tighter fit and alignment with rotated and elongated objects, which improves the localization, reduces overlap in densely packed images, and improves isolation of objects in crowded scenes.
- KeyPoints offer a robust and accurate way to identify and locate specific points of interest within an image or video frame. These features aim at improving developer experience to implement use cases, including detecting & tracking objects, estimating pose, analyzing facial expressions, and creating augmented reality experiences.
We illustrated the use of Rotated Bounding Boxes below. You can expect keypoints and rotated boxes to work with all existing torchvision transforms in . You can find some examples on how to use those transformations in our .