搜索资源列表
faceCompare
- face++人脸识别API调用；openCV-python人脸检测；(Face++ face recognition API call; openCV-python face detection;)
Mycar
- 使用opencv对提取路径，计算车辆行驶状态，通过蓝牙控制小车沿线路行驶(Using OpenCV to extract the path, calculate the vehicle running state, control the car along the line through Bluetooth)
FaceRecTest1
- 人脸识别训练加识别测试程序，采用Opencv开源库(Face recognition training and recognition test program)
opencv_car_location-master
- 可以识别出图片中的车牌号码,并定位到车牌号码的牌子的方框(opencv_car_location-master)
PCA人脸识别
- opencv下，用PCA主成分分析的方式做人脸识别(Using PCA principal component analysis to do face recognition)
face
- 系统介绍：基于树莓派官方系统stretch 系统，系统内安装了opencv3.3.0以及 tensorflow1.1.0 。人脸识别门禁的代码在里面目录/home/pi/face。内安装了深度学习的案例。 程序启动说明：开机前连接树莓派摄像头或网络USB摄像头，网络摄像头无需下面的设置。如使用树莓派摄像头则在终端输入 sudo nano /etc/modules-load.d/modules.conf 在最后添加一行添加 bcm2835-v4l2 ctrl+O回车保存 ctrl
deep-learning-opencv
- opencv3.3以上的版本调用caffe模型提前训练好的模型进行图片识别。(The above version of opencv3.3 calls the Caffe model in advance training model for image recognition.)
carOpencv3.2
- 这个只是单纯的 通过对阀值还有 形态学滤波 +轮廓查找 筛选 的方式 对车牌进行 识别，特别是形态学滤波 对车牌的识别结果影响很大，这个只是找车牌的一种 普通方法，但对于初学 图像处理的图像来说 可以通过该项目去熟悉 图像处理的一般步骤 还有熟悉一些简单的图像处理方法。(This is simply based on the threshold and morphological filtering and contour search screening way on the license
simulate
- 形状是由图像的轮廓形成的，所以理论上形状识别是通常在边缘或轮廓检测后的步骤。(edge_based_matching The shape is formed by the outline of the image, so theoretically the shape recognition is usually the step after the edge or contour detection)
迭代法图像复原算法3月20日改
- 使用C#的WPF与打印机调用打印例子。使用PrintDialog 类，用打印队列实现打印。利用vc6.0+opencv实现人脸识别(Use C#'s WPF and printer to call the Print example. Use the PrintDialog class to print with a print queue. Using vc6.0+opencv to realize face recognition)
FaceDetectTest
- 使用opencv对人脸进行识别，同时跟踪所识别的人脸，最大识别数为5(Face tracking and recognition by using OpenCV)
lane-detection-master
- 使用C++、opencv进行图像处理，成功识别车道线(lane detect, opencv, digital image processing, vehicle detection.)
植棉改
- 利用霍夫圆 行太子算法进行识别乒乓球 基于opencv310 识别率高(Identify table tennis)
FingerTip
- 基于深度相机的手势识别，利用深度信息设置包围盒分割手，然后使用SVM分类器对训练数据集进行训练。在静态手势测试时，我们先计算测试图像的HOG特征，然后经SVM分类得到测试结果(Based on the gesture recognition of the depth camera, the depth information is used to set the bounding box to divide the hand, and then the training data set is
lbpcascade_animeface-master
- 利用opencv资源库里自带的lbpcascade_animeface.xml，对普通人脸进行识别，如果有数据库的话，也可以自己训练学习，提取人脸特征，进行学习(We use the lbpcascade_animeface.xml in opencv repository to recognize normal faces. If there are databases, we can also train ourselves to learn, extract facial features
FaceRecorder
- 基于Qt+OpenCV的人脸检测识别软件(Face detection and recognition software based on Qt+OpenCV)
real_time_object_detection.py
- 动态识别，深度学习和OpenCV的实时对象检测。作者 Adrian Rosebrock(https://www.pyimagesearch.com/2017/09/18/real-time-object-detection-with-deep-learning-and-opencv/)
图像处理
- 此文件包含本人学习OpenCV基础的所有练习，适合OpenCV初学者入门。(This file contains all the exercises that I learn from OpenCV, which is suitable for beginners in OpenCV.)
VLPR-master
- 车辆识别等，基于OpenCV visual studio(vehicle detection OpenCV visual studio)
simpleCNN
- 在anaconda+opencv+tensorflow平台下，利用简单的CNN卷积神经网络进行手写字符识别(Under the anaconda+opencv+tensorflow platform, we use simple CNN convolution neural network to handwritten character recognition.)