检测面部部分︰ 检测部分的脸

cnn代码list部分，深度学习文件，图像处理(code for cnn, image ,deep learning)

abaqus中生成连接环的python程序(Python program for connecting rings in ABAQUS)

Stock：自定义的随机股票交易回测系统 URLBookmarkManage：收藏夹书签自动生成网页版本 autoinstall：自动安装未安装的模块 LazyImport：延迟加载（类实现） LazyImport2：延迟加载（重写import）(Stock: a custom random stock trading back test system URLBookmarkManage: a collection of bookmarks automatically generates a web version Autoinstall: automatic installation of an un installed module LazyImport: delay loading (Class Implementation) LazyImport2: delayed loading (Rewriting import))

轴承故障诊断python代码

说明：  基于LSTM的时间序列预测-原理-python代码(Prediction of time series based on LSTM - principles -python code)

十六进制调色板，超级无敌好用的调色板，有非常多的颜色(Sixteen tone palette)

import cv2 import numpy as np import math import matplotlib.pyplot as plt class Hog_descriptor(): def __init__(self, img, cell_size=16, bin_size=8): self.img = img self.img = np.sqrt(img / np.max(img)) self.img = img * 255 self.cell_size = cell_size self.bin_size = bin_size self.angle_unit = 360 / self.bin_size # assert type(self.bin_size) == int, "bin_size should be integer," # assert type(self.cell_size) == int, "cell_size should be integer," # assert type(self.angle_unit) == int, "bin_size should be divisible by 360" def extract(self): height, width = self.img.shape gradient_magnitude, gradient_angle = self.global_gradient() gradient_magnitude = abs(gradient_magnitude) cell_gradient_vector = np.zeros((int(height / self.cell_size), int(width / self.cell_size), self.bin_size)) for i in rang

说明：  《Python极客项目编程》里面讲解了一些很好玩的项目。 利用参数方程和turtle模块生成万花尺图案； ● 通过模拟频率泛音在计算机上创作音乐； ● 将图形图像转换为ASCII文本图形； ● 编写一个三维立体画程序，生成隐藏在随机图案下的3D图像； ● 通过探索粒子系统、透明度和广告牌技术，利用OpenGL着色器制作逼真的动画； ● 利用来自CT和MRI扫描的数据实现3D可视化； ● 将计算机连接到Arduino编程，创建响应音乐的激光秀。(Python Geek Programming explains some interesting projects. Using parametric equation and turtle module to generate a kaleidoscope pattern; Create music on computer by analog frequency overtone. Converting graphics and images to ASCII text graphics; Write a three-dimensional drawing program to generate 3D images hidden in random patterns. Through exploring particle system, transparency and billboard technology, using OpenGL shader to produce realistic animation; 3-D visualization using data from CT and MRI scans; Connect the computer to Arduino programming to create a laser show that responds to music)

基于迪杰斯特拉算法的最短路径规划，基于python平台实现(Shortest path planning based on Dijkstra algorithm and implemented on Python platform)

【实例简介】入门级实例