Unified Multi Task Vision Model Inference With Autobackend Runtime Abstraction

via “unified multi-task computer vision model inference”

Real-time object detection, segmentation, and pose.

Unique: Implements a single Model class that abstracts task routing through neural network architecture definitions (tasks.py) rather than separate model classes per task, enabling seamless task switching via weight loading without API changes

vs others: Simpler than TensorFlow's task-specific model APIs and more flexible than OpenCV's single-task detectors because one codebase handles detection, segmentation, classification, and pose with identical inference syntax