搜索资源列表
DetectFace
- input a picture, the code will detect faces in it, and draw a rectangular around every detected face
keras-master
- 神经网络用来keras框架源码，非常的适合初学者来学习卷积神经网络(Keras neural network framework for source code)
七段数码管
- 使用python显示七段数码管。显示当前时间信息(use python to show the time)
python
- 载入caffe模型并输出结果，显示分类概率(Load the Caffe model and output the results)
Car_100_5layers_English
- 车牌识别Python程序，使用五层的CNN网络，使用TensorFlow框架编程(car license plate recongition)
py_vis_code
- python数据可视化编程实战源码，适用于初始学习python数据可视化的朋友，该源码为python2。(source code of data visualization using python)
14.SVM(代码)
- 用SVM在python平台实现手写数字的识别(using the algorithm of SVM to recognition of handwritten numerals on python)
get_yanzhengma
- 用Python编写的一个登陆验证码识别，主要用于登录时输入的验证码，需要安装类库。(Verification code identification)
手写体字符识别
- 简单的手写体字符识别，利用了k近邻和支持向量机算法(Simple handwritten character recognition, using the k nearest neighbor and support vector machine algorithm)
car-words-recognition
- 一张车的照片进行车牌分割、字符分割后，最后运用KNN算法进行字符识别。(A car photo license plate segmentation, character segmentation, the last use of KNN algorithm for character recognition.)
pyTest
- 人脸识别测试，未测试成功 VideoCapture不知从哪里安装或引用(Test of face detection)
decode_mnist
- 非常简短的mnist文件解析程序,两个函数分别解析image和label两种文件,返回为numpy的array类型,供opencv进一步处理及显示(A very short MNIST file parser. The two functions parse two files of image and label respectively, and return to the array type of numpy for OpenCV to further process and displ
keras_mnist_test
- hello Word of keras ,第一个成功实现的卷积神经网络,下载了mnist数据集,并decode,,然后,为了加快速度,训练其中的一部分数据,并用predict测试,ok,2min内出结果.(网上其它程序试过,训练太久,一晚上都没训练出结果,于是自己动手设计了这个小程序) 环境:python3.6,keras2.1,PC i5(很破的电脑)(Hello Word of keras, the first successful convolution neural network,
集装箱二维码输出项目
- 集装箱信息生成二维码图片，需要QRCODE,TKINTER这两个三方库(Container information generates two-dimensional code pictures, which requires QRCODE, TKINTER, the two three party libraries)
程序源码
- 基于CNN的手势识别，可识别五种手势，拳头，手掌，比V，OK，还有空。要求环境：opencv，keras，theano，python2.7(CNN based gesture recognition can identify five kinds of gestures, fist, palms, than V, OK, and empty. Requirements for the environment: opencv, keras, theano, python2.7)
face-Bayes-GaussianNB
- 用贝叶斯中的高斯类库实现人脸识别，结合PCA算法实现(Face recognition using the Gauss class library in Bayes, combined with PCA algorithm)
face-Bayes-BernoulliNB
- 用贝叶斯中的努伯利类实现人脸识别，结合PACK算法实现(Bayesian face recognition in Nuboli, combined with PACK algorithm)
face-Adaboost
- 用Adaboost和PCA算法实现人脸识别，用Python写的代码，根据经典的PCA和SVM算法改编(Adaboost and PCA algorithm for face recognition, code written in Python, adapted from the classic PCA and SVM algorithm)
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 !)
chinese_test
- 手写汉字识别，数据集训练，MNIST，Deep Convolutional Network识别手写汉字(Handwritten Chinese character recognition, data set training, MNIST, Deep Convolutional Network)