yolov3-tf2
Leveraging TensorFlow 2.0, this YOLOv3 implementation offers efficient object detection models with pre-trained weights ready for deployment and customizable training. Supporting both eager and graph modes, and enhanced with GPU acceleration and absl-py integration, it adheres to industry best practices. It facilitates transfer learning, inference, and video detection, supported by detailed training resources. Darknet weight conversion and TensorFlow Serving integration make it suitable for academic and practical use.
