PyQt与Panda3d

用python语言编写蛇和梯子基础程序，可使用processing运行，内含一个地图。

ansys 用于分析纤维增强复合材料的专用模块ACP。非常好的内部培训资料。(ansys fiber reinforced composites for analysis of specific modules ACP. Very good internal training materials.)

【实例简介】

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

py数据分析numpy, pandas, matplotlib, pyecharts, seaborn...(py data analysis: numpy, pandas, matplotlib, pyecharts, seaborn...)

通过拉格朗日方程模拟仿真双摆系统的运动过程，并生成poincare映射图(The motion process of double pendulum system is simulated by Lagrange equation, and Poincare map is generated.)

说明：  python随机纤维生成纤维束进行有限元分析（周期性边界条件）(Generate random fiber)

提供了Python笔记本代码。PCA可以通过特征值分解或奇异值分解技术执行。此代码通过特征值分解执行PCA

说明：  粒子群优化SVM参数 遗传算法优化SVM参数(Particle Swarm Optimization of SVM Parameters)

调用matlab中的随机森林算法实现预测(Call the random forest algorithm in MATLAB to realize the prediction)