量子遗传算法

一个小小的表白程序（python）

使用cpython进行维度所见，比传统的python脚本写出来的代码要方便，简洁。运行速度大幅提升。

1.Python编程实现一键打包游戏资源及游戏代码 2.分流实现打包不同key的小游戏 3.打包的游戏可以指定游戏名称及游戏放置的文件夹

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

Kaggle competition final submission score 0.985(Kaggle competition final submission score 0.985 fsaaddaewfew5sadf4asf)

python产生简单的动画，波形连续传递(Python produces simple animations)

蚁群算法解决TSP问题，即 旅行问题，选择最短路径(Ant Colony Algorithm for TSP Problem)

说明：  粒子群算法与支持向量机的结合，用粒子群算法快速寻找支持向量机的最优参数。(Particle swarm optimization with support vector machines with particle swarm optimization with support vector machines quickly find the optimal parameters.)

这是对refinenet的轻量级实现，可以进行实时语义分割(Light-Weight RefineNet for Real-Time Semantic Segmentation)

说明：  进行科学计算、数据处理用到的python教程,作为数据处理入门教程即可。转自嵩天老师的资料。(The course of data processing in scientific calculation)