原创 python numpy 3

import numpy as np x = 3 print(type(x)) # Prints "<class 'int'>" print(x) # Prints "3" print(x + 1) # Additio

原创 python opencv圖像處理

# -*- coding: utf-8 -*- import numpy as np from matplotlib import pyplot as plt import cv2 def roiProcess(): file =

原创 python opencv調色板

# -*- coding: utf-8 -*- import numpy as np import cv2 def nothing(x): pass def palette(): img=np.zeros((300,1378

原创 python opencv圖像融合

# -*- coding: utf-8 -*- import numpy as np from matplotlib import pyplot as plt import cv2 def addWeight(): pic1 =

原创 keras Regressor 迴歸

import numpy as np np.random.seed(1337) # for reproducibility from keras.models import Sequential from keras.layers i

原创 python numpy 2

import numpy as np # Create a new array from which we will select elements a = np.array([[1,2,3], [4,5,6], [7,8,9], [

原创 python Fuzzy C-means

from __future__ import division, print_function import numpy as np from numpy.linalg import cholesky import matplotlib

原创 mxnet教程1

import mxnet as mx #%matplotlib inline import os import subprocess import numpy as np import matplotlib.pyplot as plt

原创 基於mxnet的BP神經網絡識別26個英文小寫字母

import logging logging.getLogger().setLevel(logging.INFO) import mxnet as mx import numpy as np fname = mx.test_utils

原创 python opencv載入圖片

# -*- coding: utf-8 -*- """ Created on Sun Oct 14 19:58:58 2018 @author: lin """ import numpy as np import cv2 # Lo

原创 matplotlib畫圖 2

import numpy as np import matplotlib.pyplot as plt # Compute the x and y coordinates for points on sine and cosine cu

原创 python讀取圖片並且顯示

使用python-opencv讀取圖片,利用opencv或matplotlib顯示圖片。 # -*- coding: utf-8 -*- import numpy as np from matplotlib import pyplot

原创 python文件和目錄

# -*- coding: utf-8 -*- import os def printFile(rootDir): allFiles = os.listdir(rootDir) #列出文件夾下所有文件和目錄 for i in r

原创 python opencv圖像濾波

# -*- coding: utf-8 -*- import numpy as np from matplotlib import pyplot as plt import cv2 def medianBlurTest(file):

原创 keras mnist 1

from __future__ import print_function import numpy as np np.random.seed(1337) from keras.datasets import mnist from ke