![]() ![]() It is written in C++, we will be using its Python extensions. OpenCV – OpenCV or Open Computer Vision is the most popular tool for computer vision.You can find a list of all available models here. We will use the SSD inception v2 model as it gives us a good balance of both accuracy and speed. Tensorflow object detection API can use several models for object detection. SSD Inception v2 model – The SSD or single shot detector lets us detect and localise objects in an image with a single pass or a single shot.It lets us construct, train and deploy a variety of object detection models. This API is an open-source framework built on top of TensorFlow. Tensorflow Object Detection API – We will use this API to create a model that will identify and localise the number plate. ![]() TensorFlow – One of the most popular open source libraries for machines learning, and supported by Google.We will use the following tools to build our application We will use the number plate detector as an exercise to try features in OpenCV, tensorflow object detection API, OCR, pytesseract An automatic number plate detector has multiple applications in traffic control, traffic violation detection, parking management etc. We will use a few machine learning tools to build the detector. In this duology of blogs, we will explore how to create a custom number plate reader. ![]()
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June 2023
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