作成したコードをGitHubに送信するtestとしてmytoool.pyをあげる。

mytool.py

# -*- coding: utf-8 -*-
"""
Created on Wed Aug 19 14:59:47 2015

@author: ryousuke
"""
import cv2
import numpy as np

def funcDouble(x):    
    return 2*x


def funcTriple(x):    
    return 3*x


def funcPower(x):
    return x*x


def funcContrust(img):
    min = 0
    max = 255
    img_dst = cv2.normalize(img, alpha=min, beta=max, norm_type=cv2.NORM_MINMAX)
    return img_dst

def funcGaussian(img,kernel = 51):
    gau_1 = cv2.GaussianBlur(funcContrust(img) , (3,3),-1)
    gau_2 = cv2.GaussianBlur(gau_1 , (kernel,kernel),-1)
    sub = cv2.subtract(gau_2 ,gau_1)
    return sub

def funcThreshold(img,kernel = 51,threshold = 100 ,max_brt = 10): 
    ret,thre = cv2.threshold(funcGaussian(img,kernel), threshold , max_brt, cv2.THRESH_BINARY)
    return thre


def funcCountNonZero(img,kernel,threshold):
    count = cv2.countNonZero(funcThreshold(img,kernel,threshold))
    return count


def funcRotation(img,angle,center_x = 256,center_y = 220,scale = 1.0):    
    ##ここから下は、アフィン変換によって画像を回転させる関数である。
    center = tuple(np.array([center_x, center_y]))
    # 画像サイズの取得(横, 縦)
    size = tuple(np.array([img.shape[1], img.shape[0]]))
    # 回転させたい角度
    # ラジアンではなく角度(°)
    
    # 回転変換行列の算出
    rotation_matrix = cv2.getRotationMatrix2D(center, angle, scale)
    # アフィン変換
    img_rot = cv2.warpAffine(img, rotation_matrix, size, flags=cv2.INTER_CUBIC)
    
    return img_rot



if __name__ == '__main__':

    
    print "testcode for funcDouble"        
    assert funcDouble(0) == 0
    assert funcDouble(-5) == -10
    assert funcDouble(3.0) == 6.0
    assert funcDouble(200.0) == 400.0    
    print "test OK"

    
    print "testcode for funcTriple"        
    assert funcTriple(0) == 0
    assert funcTriple(-5) == -15
    assert funcTriple(3.0) == 9.0
    assert funcTriple(200.0) == 600.0    
    print "test OK"
    
    
    print "testcode for funcPower"        
    assert funcPower(0) == 0
    assert funcPower(-5) == 25
    assert funcPower(3.0) == 9.0
    assert funcPower(20.0) == 400.0    
    print "test OK"