myshow.py

说明：  这是一个用VC++写的用于数控编程的系统,内含仿真器和说明书,请不要用于商业行为。(This is a VC was made for NC programming system includes simulators and brochures, please do not for commercial activities.)

说明：  实现将二进制转换为DNA碱基，以及逆过程(Realize the conversion of binary to DNA base, and the reverse process)

说明：  Legendary server controller for game enthusiasts to study, can

我们提出了一个简单、灵活和通用的对象实例分割框架。我们的方法能有效检测图像中的对象，同时为每个实例生成高质量的 segmentation mask。这种被称为 Mask R-CNN 的方法通过添加用于预测 object mask 的分支来扩展 Faster R-CNN，该分支与用于边界框识别的现有分支并行。Mask R-CNN 训练简单，只需在以 5fps 运行的 Faster R-CNN 之上增加一个较小的 overhead。此外，Mask R-CNN 很容易推广到其他任务，例如它可以允许同一个框架中进行姿态估计。我们在 COCO 系列挑战的三个轨道任务中均取得了最佳成果，包括实例分割、边界对象检测和人关键点检测。没有任何 tricks，Mask R-CNN 的表现优于所有现有的单一模型取得的成绩，包括 COCO 2016 挑战赛的冠军。(Mask R-CNN code by HeKaiming)

首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the non-stationary fault signal is decomposed into several different frequency band components through dual-tree complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity between the component and the original signal at the same time, the correlation coefficient is bigger, the more similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was eliminated effectively, and the effective si)

光栅光谱仪利用光栅光谱仪检测不同种类镜片， 通过光栅光谱仪检测出对不同光线的透过率，从而确定其质量 (The quality of different types of lens detection using grating spectrometer, Through the grating spectrometer detected transmittance of different light, to determine its quality)

常用的三维点云数据，手的三维数据可以用MATLAB和PCL打开。(Common 3D point cloud data)

可以计算图像结构相似性，评价图像质量(Similarity of image structure can be calculated and image quality can be evaluated)

说明：  基于混合高斯模型的背景减除算法实现。matlab代码。(Gaussian mixture model-based background subtraction algorithm. matlab code.)

说明：  数字识别，能识别0到9这几个数字啊，基于matlab(Digital identification, can identify it 0-9 a few figures ah, based on matlab)