中国海拔高度（DEM）空间分布数据,1km分辨率

此程序用来绘表述工件灰度在三维空间中的形貌

C++开发的 OpenGL从高度图创建地形三维漫游，有三维模型、广告牌技术、喷泉、天空等

中国海拔高度（DEM）空间分布数据1km分辨率中国海拔高度（DEM）空间分布数据1km分辨率

视日轨迹跟踪算法的matlab仿真，输入目的地点 的经纬度，可以仿真该地的太阳高度角和方位角，包括每年的、每天的、每季度、某月份的太阳高度角方位角变化

u3d基于高度渐变色材质 unity3d版本5.6.2 可以在高度上线性混合六种颜色 也可以改造成贴图，方面缩放高度偏移等等

作者: 大卫·伊斯利(David Esley) / 乔恩·克莱因伯格(Jon Kleinberg) 出版社: 清华大学出版社 副标题: 揭示高度互联世界的行为原理与效应机制 原作名: Networks, Crowds, and Markets 译者: 李晓明 / 王卫红 / 杨韫利 出版年: 2011-10-1 页数: 511 定价: CNY 69.00 装帧: 平装 ISBN: 9787302264170

模仿微信朋友圈发布动态，输入文字支持文字多少高度自增，有一个最小输入框高度，输入文字有限制，不过这些都很easy!

基于C++开发的 OpenGL从高度图创建地形三维漫游，有三维模型、广告牌技术、喷泉、天空等

We propose a network for Congested Scene Recognition called CSRNet to provide a data-driven and deep learning method that can understand highly congested scenes and perform accurate count estimation as well as present high-quality density maps. The proposed CSRNet is composed of two major components: a convolutional neural network (CNN) as the front-end for 2D feature extraction and a dilated CNN for the back-end, which uses dilated kernels to deliver larger reception fields and to replace pooling operations. CSRNet is an easy-trained model because of its pure convolutional structure. We demonstrate CSRNet on four datasets (ShanghaiTech dataset, the UCF_CC_50 dataset, the WorldEXPO'10 dataset, and the UCSD dataset) and we deliver the state-of-the-art performance. In the ShanghaiTech Part_B dataset, CSRNet achieves 47.3% lower Mean Absolute Error (MAE) than the previous state-of-the-art method. We extend the targeted applications for counting other objects, such as the vehicle in TRANCOS dataset. Results show that CSRNet significantly improves the output quality with 15.4% lower MAE than the previous state-of-the-art approach.