Yolov3 in tensorflow 2.2

A TensorFlow 2.2 implementation of YOLOv3 for real-time object detection with support for both CPU and GPU acceleration. The framework includes pre-built utilities for data annotation parsing, anchor generation, model evaluation, and an optimized tf.data input pipeline. Developers can leverage either random or pre-trained DarkNet weights for transfer learning and rapid prototyping.

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