The package version has been updated from 0.17.0rc8 to 0.17.0. Alongside the version, the changelog has also been updated to reflect the newly introduced or modified features, improvements in existing features, and bug fixes.
Added a new function scale_boxes to the detection utilities in order to scale the dimensions of bounding boxes. This function accepts bounding boxes and a scaling factor as input and returns the scaled bounding boxes. It can enlarge or shrink the input bounding boxes based on the value of the passed factor. The function was also documented in the utils.md file and necessary tests were added to assure its correctness.
Implemented the PolygonAnnotator class in the core.py file under the supervision/annotators directory to support drawing polygons over detected objects. This was done by dividing the masks into multiple polygons and drawing them on the image.
Revise the contents of the 'How to Track Objects' documentation covering the use of supervision for object tracking in video analysis. The revision offers a more detailed guide, including running inference, tracking objects, annotating videos with unique tracking IDs, and annotating videos with traces. The new guide provides a structured walkthrough and tutorial on using Supervision's functionalities, aimed at helping users to annotate videos more effectively and understand the movement patterns and interactions of objects in the videos.
Expanded the documentation to include instructions on how to install and use the Supervision assets utility. Instructions include steps for performing the installation using pip, allowing users to easily download video files for their demos.
The file asset_list.py has been renamed to list.py for better readability and simplicity. In the VideoAssets enumeration, additional information has been included. This includes specific details for each member of the enum, notably the filename of the related video and its URL.
James