allanzelener/YAD2K
A converter that ports the YOLO_v2 real-time object detection neural network from Darknet to Keras format.
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YAD2K implements the YOLO_v2 (You Only Look Once) object detection architecture by converting Darknet model weights and configuration files into Keras format. The converter handles the different layer definitions and weight storage conventions between the two frameworks, enabling users to run YOLO_v2 inference in a Keras/TensorFlow environment. The repository includes test scripts to validate the converted model on images.
Frequently asked
- What is allanzelener/YAD2K?
- A converter that ports the YOLO_v2 real-time object detection neural network from Darknet to Keras format.
- Is YAD2K open source?
- Yes — allanzelener/YAD2K is an open-source project tracked on heatdrop.
- What language is YAD2K written in?
- allanzelener/YAD2K is primarily written in Python.
- How popular is YAD2K?
- allanzelener/YAD2K has 2.7k stars on GitHub.
- Where can I find YAD2K?
- allanzelener/YAD2K is on GitHub at https://github.com/allanzelener/YAD2K.