matthewearl/deep-anpr
A neural network-based system that detects and recognizes vehicle number plates in images using TensorFlow.
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The project trains a CNN model to locate and read vehicle license plates from input images. It generates synthetic training data by compositing number plate images onto background photos, then uses TensorFlow for model training and inference. OpenCV is used for image preprocessing and post-processing tasks.
Frequently asked
- What is matthewearl/deep-anpr?
- A neural network-based system that detects and recognizes vehicle number plates in images using TensorFlow.
- Is deep-anpr open source?
- Yes — matthewearl/deep-anpr is open source, released under the MIT license.
- What language is deep-anpr written in?
- matthewearl/deep-anpr is primarily written in Python.
- How popular is deep-anpr?
- matthewearl/deep-anpr has 1.9k stars on GitHub.
- Where can I find deep-anpr?
- matthewearl/deep-anpr is on GitHub at https://github.com/matthewearl/deep-anpr.