资源列表
simplifiedFaceDetection
- 简化的人脸检测算法，提出了不必要的干扰代码。适合初学者入门。-Simplify the face detection algorithm, unnecessary interference code. Suitable for beginner.
rotate
- 基于opencv的图像旋转程序，0到360°任意旋转不失真，初学者可以借鉴。-Image rotation program based on the opencv, 0-360 arbitrary rotation distortion, beginners can learn from.
MFC_CLASS_DLL_OPENCV
- 本程序分为两部分 第一部分,DllClassText,在MFC中创建扩展 DLL,有两个类,一个为计算加减法,另一个为使用OPENCV方式打开图片,参数为图片路径.第二部分,dllClassApp,在MFC对话框程序中,调用第一部分生成的"DllClassText.dll",实现加减法和显示图片功能-This program is divided into two parts, the first part of DllClassText create an extended DLL in
VideoDetect
- 基于OpenCV的简易目标检测跟踪程序，能够实现对每帧视频的连续编号截图，可以实现键盘对视频播放的控制，能对每一视频帧生成包含运动目标区域的前景图像，采用某种策略实现对运动目标的跟踪，并用矩形框+编号将运动目标标出。-A simple target detection program base on OpenCV , which can numbered consecutively for each frame of video screenshots, keyboard control the
ParticleFilterTracker
- Rob Hess写的一个粒子滤波跟踪程序，基于OpenCV,很好理解，跟踪效果不错。-A particle filter tracking program written by Rob Hess, based on OpenCV, a good understanding, good tracking performance.
CUDA_TH
- 图像二值化处理，函数调用，位图访问方式得到像素点灰度值-Binary image processing, function calls, the access method of the bitmap pixel gray value
pictureTest
- 这是一个通过摄像头进行摄像，并在按下键c时，进行拍照的程序，很不错，直接下载使用！-This is a camera through the camera, and press the button c, photographs, the procedure is very good, direct download!
bwareaopenTest
- 这是一个清除小对象的程序，在车牌识别，还有好多数字识别时，对图片中的杂志进行清除，下载即可使用-This is a clear program of small objects in the license plate recognition, there are a lot of digital identification, clean picture in the magazine, can be used to download
detected
- 基于opencv人脸检测的例子，可以供初学者参考-Opencv face detection example, can reference for beginners
gdal-geotiff
- gald 处理 geotiff，图像坐标文件，地理坐标坐标的转换-The gald processing geotiff, image coordinate files, coordinate conversion of geographic coordinates
vedio_store
- 基于OPENCV的图像采集以及存储程序，代码简单易懂-Based on the the OPENCV image collection and storage procedures, the code is simple and easy to understand
shipingjiankong
- 里面的算法在视频监控中非常实用，能在复杂的环境中进行高度识别。-Inside the algorithm is very useful in video surveillance, a high degree of recognition in a complex environment.