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一个非常好用的Autocad工具集
- ********************************************************* * AyungerStudio AutoCAD-Tools 更新日期: 2010.02.01 * ********************************************************* 这是本人近年来独自开发的一个AutoCAD修改工具集合，现与各位共享，主要包括： 1、 绘制类： 箭头、示坡线、锥坡线、剖断线、垂线、切线、等高线加
Render
- VB+MO实现对地图图层的渲染，包括标注渲染，点密度渲染，按值渲染，分类渲染，组渲染。并实现图像的关联。-VB+ MO achieve rendering of map layers, including the mark rendering, point density rendering, according to the value of rendering, classification rendering, rendering group. And the associated ima
Image-segmentation-source
- matlab图像分割源代码，包含有各种经典的图像分割算法，并对程序进行了标注。-Image segmentation source
ReadXml
- 可以将著名的ImageNet数据集中的图片，根据其XML标注文件的标注，剪裁出图像中的目标，按标注类别进行分类。可以修改验证集图片的分类方式等。-Images can be famous ImageNet data set, according to its XML tagging file annotation, cut out the image of the target, according to the categories are classified.Can modify the
Label-Me
- 关于图像标注的源码 值得收藏matlab 代码 -image annotation
cloth_label
- 用来标注服装图像的属性，如颜色，材料等。-you can label the attribute of the clothing,such as color ,material,pattern and so on. if you are interested in clthing retri ,it is helpful.
scene_text
- c++的可执行文件，用于检测场景图像中的文本并标注出来-c++ executable file, detect scenes images and text for marked out
matching_surf
- 对输入的两幅图像进行surf特征点匹配，并标注出特征点。-Matching Surf feature points between images
LabelMeToolbox
- 用于图像的标注，人工交互的标注图像。方便进行下一步的图像分割及其他图像处理(Used for image annotation, artificial interactive tagging images. Convenient for the next step of image segmentation and other image processing)
Imagelabel windows_v1.2.2
- windows平台下的标签工具,用于图像标注，比较好用(label tool for windows)
水平垂直积分renyan
- 对人脸候选区域中眼睛特征部位采用水平垂直积分筛选出眼睛部位，并将其标注在图像中。(The eye location is selected by horizontal vertical integral in the eye area of the face candidate area, and it is labeled in the image.)
labelImg-master
- LabelImg 是一个可视化的图像标定工具。使用该工具前需配置环境python + lxml。Faster R-CNN，YOLO，SSD等目标检测网络所需要的数据集，均需要借此工具标定图像中的目标。(LabelImg is a visual image calibration tool. You need to configure the environment Python + lxml before using this tool. Faster R-CNN, YOLO, SSD and
labelme-master
- 麻省理工(MIT)的计算机科学和人工智能实验室(CSAIL)研发的图像标注工具labelme(Image annotation tool labelme developed by Computer Science and Artificial Intelligence Laboratory (CSAIL) of MIT)
patest
- 选取几幅同类目标物体的二维图像，并标注轮廓点，不断迭代，寻找标准形状，利用最小二乘法寻找每个样本形状到这个标准形状的变化，校正去噪。(Select several two-dimensional images of similar objects, mark the contour points, iterate continuously, find the standard shape, use the least square method to find the change of eac