动态定制下拉菜单2013文件夹

地磁计算软件程序，用于地磁方面的计算，geomag70_windows(The range of dates permitted with the International Geomagnetic Reference Field (IGRF-12) ranges from 1900 and 2020)

ISO 22900 1-3 道路车辆通信接口模型(ISO 22900 1-3 road vehicle communication interface model)

说明：  程序主要实现基于CV模型的目标跟踪，包括均方根误差计算(target tracking with constant velocity)

说明：  iBean Network: An Ultralow Power Wireless Sensor Network

预加重与去加重介绍；对高速信号进行补偿；(Introduction of Pre-emphasis and De-emphasis)

对程序进行皮肤更换，使界面美观大方，颜色柔和。(Skin change)

a really neat dollhouse to make

说明：  裂纹是典型的线结构，在许多计算机视觉应用中都很有趣。在实际应用中，路面裂缝等许多裂缝连续性差、对比度低，给利用低层特征进行基于图像的裂缝检测带来了很大的挑战。在本文中，我们提出了深度裂纹——一个端到端可训练的深度卷积神经网络，通过学习用于裂纹表示的高级特征来自动检测裂纹。该方法将在层次卷积阶段学习到的多尺度深度卷积特征融合在一起，以获取线路结构。更详细的表示在大比例尺的feature maps中进行，更全面的表示在小比例尺的feature maps中进行。我们在SegNet的编码器解码器架构上构建深度裂纹网，并对在相同尺度下在编码器网络和解码器网络中生成的卷积特征进行配对融合。(Cracks are typical line structures that are of interest in many computer-vision applications. In practice, many cracks, e.g., pavement cracks, show poor continuity and low contrast, which bring great challenges to image-based crack detection by using low-level features. In this paper, we propose DeepCrack---an end-to-end trainable deep convolutional neural network for automatic crack detection by learning high-level features for crack representation. In this method, multi-scale deep convolutional features learned at hierarchical convolutional stages are fused together to capture the line structures. More detailed representations are made in larger scale feature maps and more holistic representations are made in smaller scale feature maps. We build DeepCrack net on the encoder decoder architecture of SegNet and pairwisely fuse the convolutional features generated in the encoder network and in the decoder network at the same scale.)

这是经典的贪吃蛇游戏的代码，VC编的，希望对大家有帮助-This is the classic Snake game code, VC series, and they hope to help everyone

pso优化bp神经网络的权值和阈值，大家可以看看。(PSO optimization BP neural network weights and thresholds, we can see.)