Detect and decode English or Chinese text on NPU using TIM-VX.
By Laurent Ittiitti@usc.eduhttp://jevois.orgGPL v3
 Language: PythonSupports mappings with USB output: NoSupports mappings with NO USB output: No 
 Video Mapping:   JVUI 0 0 30.0 CropScale=RGB24@512x288:YUYV 1920 1080 30.0 JeVois PySceneText
This module has no screenshots and no videos

Module Documentation

This module runs on the JeVois-Pro NPU using a quantized deep neural network. It is derived from See LICENSE for license information.

By default, English is used, but you can change that to Chinese in the constructor

This module is mainly intended as a tutorial for how to run quantized int8 DNNs on the NPU using OpenCV and TIM-VX, here achieved through only small modifications of code from - in particular, the core class for this model, LPD_YuNet, was not modified at all, and only the demo code was edited to use the JeVois GUI Helper for fast OpenGL drawing as opposed to slow drawings into OpenCV images.

ParameterTypeDescriptionDefaultValid Values
This module exposes no parameter
Detailed docs:PySceneText
Copyright:Copyright (C) 2022 by Laurent Itti, iLab and the University of Southern California
License:GPL v3
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Address:University of Southern California, HNB-07A, 3641 Watt Way, Los Angeles, CA 90089-2520, USA