keimina

## cv_sample_connectedComponents2.py
from subprocess import call
from pylab import *
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.patches import Rectangle
from time import sleep
import cv2

# Read template image
templateImageGray = cv2.imread("./images/templateImage.png", cv2.IMREAD_GRAYSCALE)
templateImageGray = cv2.resize(templateImageGray, (0, 0), fx=16, fy=16, interpolation=cv2.INTER_CUBIC)

## 機械学習勉強会用_ランダムデータ作成_20191102.ipynb

      
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              November 2, 2019 06:16
            
          
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## pandas_20200205.ipynb

      
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## 20200226.ipynb

      
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## 20200304.ipynb

      
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## 20200428.ipynb

      
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## 20200506.ipynb

      
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## 20200603.ipynb

      
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## 20200610.ipynb

      
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## benkyoukai_20200620.py
import numpy as np
import pandas as pd
import time

DEBUG = False

class N():
    theta = 50
    theta_dot = 50
    tau = 10
	from subprocess import call
	from pylab import *
	from mpl_toolkits.axes_grid1 import make_axes_locatable
	from matplotlib.patches import Rectangle
	from time import sleep
	import cv2

	# Read template image
	templateImageGray = cv2.imread("./images/templateImage.png", cv2.IMREAD_GRAYSCALE)
	templateImageGray = cv2.resize(templateImageGray, (0, 0), fx=16, fy=16, interpolation=cv2.INTER_CUBIC)
	import numpy as np
	import pandas as pd
	import time

	DEBUG = False

	class N():
	theta = 50
	theta_dot = 50
	tau = 10