Natural Scene Text detection using OpenCV and Python

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Natural Scene Text detection using OpenCV and Python
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Natural Scene Text detection using OpenCV and Python

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Natural Scene Text detection using OpenCV and Python

In this project, We have used OpenCV to detect text in natural scene images using the EAST text detector. OpenCV’s EAST text detector is a deep learning model, based on a novel architecture and training pattern. It is capable of (1) running at near real-time at 13 FPS on 720p images and (2) obtains state-of-the-art text detection accuracy.We call the algorithm “EAST” because it’s an: Efficient and Accurate Scene Text detection pipeline.Perhaps most importantly, since the deep learning model is end-to-end, it is possible to sidestep computationally expensive sub-algorithms that other text detectors typically apply, including candidate aggregation and word partitioning.To build and train such a deep learning model, the EAST method utilizes novel, carefully designed loss functions.

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