wizyoung/YOLOv3_TensorFlow
A pure TensorFlow implementation of the YOLOv3 deep learning object detection model with full training and inference pipeline.
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This repository provides a complete implementation of YOLOv3 in TensorFlow, including model architecture, training pipeline, and evaluation tools. It supports training on custom datasets via an efficient tf.data pipeline, converts pretrained Darknet weights to TensorFlow checkpoints, and includes GPU-accelerated non-maximum suppression for fast inference. The project also provides a K-means algorithm for selecting prior anchor boxes.
Frequently asked
- What is wizyoung/YOLOv3_TensorFlow?
- A pure TensorFlow implementation of the YOLOv3 deep learning object detection model with full training and inference pipeline.
- Is YOLOv3_TensorFlow open source?
- Yes — wizyoung/YOLOv3_TensorFlow is open source, released under the MIT license.
- What language is YOLOv3_TensorFlow written in?
- wizyoung/YOLOv3_TensorFlow is primarily written in Python.
- How popular is YOLOv3_TensorFlow?
- wizyoung/YOLOv3_TensorFlow has 1.6k stars on GitHub.
- Where can I find YOLOv3_TensorFlow?
- wizyoung/YOLOv3_TensorFlow is on GitHub at https://github.com/wizyoung/YOLOv3_TensorFlow.