mystic123/tensorflow-yolo-v3
A TensorFlow implementation of YOLO v3 for real-time object detection.
Not currently ranked — collecting fresh signals.
star history
This repository provides a TensorFlow implementation of the YOLO v3 object detection architecture using TF-Slim. It includes utilities to convert pre-trained Darknet weights to TensorFlow format and a demo script for running inference on images. The project supports multiple YOLO variants including the full, tiny, and SPP versions, with COCO dataset class labels.
Frequently asked
- What is mystic123/tensorflow-yolo-v3?
- A TensorFlow implementation of YOLO v3 for real-time object detection.
- Is tensorflow-yolo-v3 open source?
- Yes — mystic123/tensorflow-yolo-v3 is open source, released under the Apache-2.0 license.
- What language is tensorflow-yolo-v3 written in?
- mystic123/tensorflow-yolo-v3 is primarily written in Python.
- How popular is tensorflow-yolo-v3?
- mystic123/tensorflow-yolo-v3 has 878 stars on GitHub.
- Where can I find tensorflow-yolo-v3?
- mystic123/tensorflow-yolo-v3 is on GitHub at https://github.com/mystic123/tensorflow-yolo-v3.