本项目中包含多个Qt的Demo程序，用于各个模块的测试使用

小瓶RPA 永久免费（含商用）RPA软件系统。 像挂QQ一样使用简单的RPA软件。 显著降本增效 & 工作100%准确 & 非侵入式集成。

The innovation and advantages of our RCU-GAN structure are embodied in the adoption of the end-to-end U-shaped GAN framework for training models to produce realistic-looking data, the addition of conditional variable to guide supervised generation of data, and the application of a bidirectional Convolutional Recurrent Neural Network (CRNN) architectures between the coder and decoder of the Generator. We also describe novel evaluation methods for RCU-GAN, where we generate a synthetic laser speec

The project proposes a novel automatic Speckle Noise detection and removal method.