Video text extractor2/19/2023 From there, simply use the tree terminal command to view the project structure: $ tree -dirsfirst To start, be sure to grab the source code + images to today’s post by visiting the “Downloads” section. To build and train such a deep learning model, the EAST method utilizes novel, carefully designed loss functions.įor more details on EAST, including architecture design and training methods, be sure to refer to the publication by the authors. 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. The EAST pipeline is capable of predicting words and lines of text at arbitrary orientations on 720p images, and furthermore, can run at 13 FPS, according to the authors. We call the algorithm “EAST” because it’s an: Efficient and Accurate Scene Text detection pipeline. With the release of OpenCV 3.4.2 and OpenCV 4, we can now use a deep learning-based text detector called EAST, which is based on Zhou et al.’s 2017 paper, EAST: An Efficient and Accurate Scene Text Detector.
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