搜索资源列表
Chapter 7_Code
- opencv3计算机视觉基于python第七章代码（完整）(Opencv3 computer vision is based on the source code of the seventh chapter of python (complete))
Chapter_8_Code
- opencv3计算机视觉基于python第八章代码（完整）(Opencv3 computer vision is based on the source code of the eighth chapter of python (complete))
img_show
- pil,matplotlib,opencv三种方式显示图像,封装成函数,输入参数为np.array或者文件路径,包含了显示的图片文件(PIL, Matplotlib, opencv, the three ways of displaying images, encapsulated into functions, input parameters to np.array or file paths, including the displayed picture files)
liuwentaoboy-SegNet-RS-master
- 进行图像数字的识别功能，结合python语言与opencv，很强大！(The recognition of image numbers , combined with the Python language and opencv , it is powerful !)
python_face_recog
- 基于python+opencv 的 人脸识别，对一段视频进行读取，并检测出人脸，然后进行PCA 降维，最后用SVM进行人脸识别，识别率94%左右。(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 9
Histogram
- 灰度直方图和RGB直方图,采用Python-OpenCV,(Grey levelHistogram and RGB Histogram)
face_detect
- python dlib实现实时监测视频中人脸(Python Dlib for real-time monitoring of face in video)
people
- 基于python语言实现opencv自带svm检测行人(Opencv takes SVM to detect pedestrians)
opencv学习代码
- python opencv 入门学习代码，快速上手，FPS实现。
FPS
- python opencv demo ,fps demo,language python demo code us opencv
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
pyANPD-master
- car plate detection python
image transformations
- Manipulate images, and apply image transformations in OpenCV using Python
face-detection
- Normal Face detection source code using Haar Cascade Features in Python and C++
image-classification
- Object detection using HOG implemented in Python and C++ using OpenCV library
digit-recognition-master
- generateclassifier.py Python脚本来创建文件digits_cls.pkl分类器。 performrecognition.py Python脚本测试分类。 digits_cls.pkl -数字识别的分类器文件。 photo_1.jpg测试图像1号测试分类器 photo_2.jpg测试图像号码2测试分类(generateClassifier.py - Python scr ipt to create the classifier file digits_cl
OpenCV官方教程中文版（For Python）
- 主演讲解opencv库在python编程语言下的实现(The opencv library is implemented in Python programming language)
lifanko-open-circle-master
- 规定图片上的两个圆形区域，两圆之间区域向左旋转45°，小圆之间区域向右旋转45°(The two circular areas of the picture are specified. The area between the two circles rotates 45 degrees to the left, and the area between the small circles rotates 45 degrees to the right.)
opencvpython
- 图像处理python表代码。其中有一部分是基于深度学习的。(Image processing Python table code. Some of them are based on deep learning.)
sift
- 基于open cv的sift算法提取图像特征值的python程序(Python algorithm based on open CV's SIFT algorithm to extract image eigenvalues.)