Updated 'asset_name' to 'filename' in downloader.py. The downloader was using the incorrect variable 'asset_name', causing failed video asset downloads. Correcting to 'filename' allows for accurate md5 check and download."
Renamed enum and variables to improve clarity for VideoAssets in asset_list.py. For instance, MILK_1 is updated to MILK_BOTTLED_PLANT and PEOPLE_WALKING_BW to PEOPLE_WALKING. Also, the VIDEO_ASSETS dictionary type hint updated to Dict. Additionally, a new method 'list' added to class VideoAssets that returns a list of all enum values.
The custom 404.html was removed as it was no longer necessary with the updates to the Mkdocs.yml file. Upgraded the project version from 0.16.0rc2 to 0.16.0rc3 in the pyproject.toml file. Various updates were added to the changelog.md to reflect improvements and bug fixes in the new project release. This includes new annotations, utility improvements, and bug-fixes to improve project functionality.
Expanded the drawing functionality by adding new utility methods 'draw_image', 'draw_line' and 'draw_rectangle' and imported them in supervision/__init__.py. Updated the documentation of draw/utils, to include 'draw_image'. Improved type hinting in draw/color.py and draw/utils.py. Also, some redundant comments and unnecessary immediate memory freeing line are removed from draw/utils.py to enhance code readability.
The hyperlink to images in the example blocks in `supervision/annotators/core.py`, and `docs/annotators.md` was modified to reflect recent updates to the annotated heat map image.
Code examples in `supervision/annotators/core.py` and `docs/annotators.md` have been updated for clarity and consistency. The changes include renaming variables more appropriately and elaborating on the video processing steps which now includes tracking and annotating frames using a YOLO model. This revision aims to make examples more understandable and consistent for users following the documentation.
A HeatMapAnnotator class has been added for visualization purposes. This class can be used to draw heatmaps on an image based on provided detections, where the heat accumulates over time and is drawn as a semi-transparent overlay of blurred circles.
SkalskiP