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频率捷变雷达
频率捷变雷达，该文件为频率捷变雷达原理电子书，对深入了解频率捷变雷达原理有极大帮助。(Frequency agile radar, this document is the e-book of frequency agile radar principle, which is of great help to understand the principle of frequency agile radar.)
- 2018-09-09 18:35:44下载
- 积分：1
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shell lab caspp 深入理解计算机系统
shell原码，很好用的，要多看书，理解才是王道，加油
- 2022-03-25 22:33:07下载
- 积分：1
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java串口调试助手
说明： 网络调试助手 打开可用
详细：见文档内readme(Network debugging assistant open available
Details: see readme in the document)
- 2020-06-08 10:47:35下载
- 积分：1
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Huawei internal procedures in designing the training program design for large
华为内部程序设计培训 对大规模程序设计很有帮助-Huawei internal procedures in designing the training program design for large-scale helpful
- 2022-02-18 15:34:30下载
- 积分：1
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numpy-1.13.3+mkl-cp27-cp27m-win32.whl
pip for Python2.7，Python的插件，用于安装其他插件(PIP for Python2.7, Python plugin, used to install other plug-ins)
- 2017-11-02 12:05:08下载
- 积分：1
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PowerBuilder9.0进阶开发篇(实例与技巧篇)源码
PowerBuilder的一些实例，适合初学者学习使用(Learning source code)
- 2020-06-16 04:00:02下载
- 积分：1
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raptor码的编译码方法 Raptor
matlab语言，raptor码的编译码方法，程序仿真正常运行(MATLAB language, raptor code generation)
- 2018-01-03 19:03:31下载
- 积分：1
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基于移动平均线的自动交易程
说明： 移动平均，基于移动平均线的自动交易程序，(move average ,the new .)
- 2020-06-18 01:40:01下载
- 积分：1
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Fatigue-damage-crack-growth
英文书籍，详细介绍疲劳失效机理，断裂力学及裂纹扩展理论，并附有相关计算程序。(Fatigue Damage,Crack Growth and
Life Prediction)
- 2017-05-02 19:38:05下载
- 积分：1
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DeepCrack
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.)
- 2021-04-09 16:58:59下载
- 积分：1
