资源列表
2D多层地图编辑器1.00
- 2D多层地图编辑器1.采用VC开发，效果非常好，快点来用吧。-2D multi-storey a map editor. Using VC, very good results and to do it quickly.
vb中的精确定时
- VB自身提供的Timer控件的定时精度太差！补充一个我认为很精确的定时方法，该方法可以 真正精确到毫秒级!-VB own Timer control of the timing accuracy bad! I think that added a very precise timing, the method can really accurate to the millisecond!
《按钮控件的使用》配套代码 按钮 20055263245357
- 按钮控件的使用，可以编写出圆形，三角形按钮，并有不同颜色-button controls the use, preparation of circular, triangular buttons, and with different colors
TGifImage.v2.2.Full.Source.BCB.836077
- 安装方法：用BCB打开CrnGifImage.bpk-->Compile-->Install，安装后在组件面板没有任何显示。在窗体上放置一个TImage，点击Picture属性旁边的按钮，可以看到支持的文件格式已经由原来的 All (*.jpg *.jpeg *.bmp *.ico *.emf *.wmf) 改变为： All (*.gif *.jpg *.jpeg *.bmp *.ico *.emf *.wmf) 这样就OK了。-installation me
ccaptionbutton
- 这个程序演示了如何用VC编写在Windows窗口标题栏上放置图标按钮的技术。据作者所述，这已经是一个很成熟的技术，实现的效果确实可以用COOL来形容！-this procedure demonstrated how to use the Windows VC prepared Biaodilanshang placed window icon button technology operation. According to the authors above, it is already a
vb_Button_ocx
- 一个在VB6下非常好用的按钮控件，可以插入图片，自定义背景色。修改按钮风格。等
虚拟仪表控件 V2.0
- 绝对逼真的虚拟仪表控件，一定需要需要vc++支持。注意了哦！-absolutely realistic virtual instrumentation control, we need to support the needs vc. Attention!
labview精美控件让你的程序前面板更加好看绚丽
- labview精美控件让你的程序前面板更加好看绚丽。 -labview can make you
Mybutton(GDIplus)
- 需要GDI+支持的MFC按钮类。自绘图片按钮，支持各种透明效果，可添加文字，支持普通、焦点、鼠标经过、鼠标按下、选中、不可用6种状态不同图片显示-Need to support GDI+ MFC button class. Since the paint picture buttons, supports a variety of transparency effects, you can add text, to support general, focus, mouse after mous
Modbus-Test
- 昆仑通态触摸屏与51单片机modbus通讯读写线圈演示功能.-Kunlun-state touch screen with 51 single-coil modbus communication literacy presentation capabilities.
蓝桥杯青少年创意编程Python组赛前集训教程包
- 蓝桥杯青少年创意编程Python组赛前集训教程包，青少年Python编程比赛官网教程。(Blue Bridge Cup youth creative programming Python group pre competition training package, youth Python Programming Competition official website tutoria)
CNN-SVM
- 卷积神经网络（CNN）用来提取特征，采用SVM分类器进行训练和分类(Convolutional Neural Network (CNN) was used to extract features, and SVM classifier was used for training and classification)