75 lines
1.8 KiB
Python
75 lines
1.8 KiB
Python
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import numpy as np
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import re
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from matplotlib import pyplot as plt
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### Variation de W et E
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# with open ('time.txt', 'r') as timing:
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# text = timing.read()
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# # extract the values using regular expression
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# values = re.findall(r'\d+\.\d+|\d+', text)
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# # convert values to int or float
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# values = [float(value) if '.' in value else int(value) for value in values]
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# result = np.reshape(values,(36,10))
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# # print(result)
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# # SEQ = result[0:6,3]
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# result = np.delete(result, (0,1,4,5,6,7), 1)
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# W1 = result[0:6,:]
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# W2 = result[6:12,:]
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# W5 = result[12:18,:]
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# W10 = result[18:24,:]
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# W15 = result[24:30,:]
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# W20 = result[30:36,:]
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# plt.figure()
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# plt.plot(W1[:,1],W1[:,2]+W1[:,3],'+-')
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# plt.plot(W2[:,1],W2[:,2]+W2[:,3],'+-')
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# plt.plot(W5[:,1],W5[:,2]+W5[:,3],'+-')
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# plt.plot(W10[:,1],W10[:,2]+W10[:,3],'+-')
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# plt.plot(W15[:,1],W15[:,2]+W15[:,3],'+-')
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# plt.plot(W20[:,1],W20[:,2]+W20[:,3],'+-')
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# plt.legend(["WS = 1","WS = 2","WS = 5","WS = 10","WS = 15","WS = 20"])
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# plt.xlabel("Coins")
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# plt.ylabel("t (s)")
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# plt.title("Convolution + Eigen pas opti")
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# plt.show()
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### CPP
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with open ('CPP.txt', 'r') as timing:
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text = timing.read()
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# extract the values using regular expression
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values = re.findall(r'\d+\.\d+|\d+', text)
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# convert values to int or float
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values = [float(value) if '.' in value else int(value) for value in values]
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result = np.reshape(values,(12,10))
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# print(result)
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RES = result[:6,4:6]
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X = [str(sub) for sub in RES]
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result = np.delete(result, (0,1,4,5,6,7), 1)
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OPT = result[0:6,2]+result[0:6,3]*1.1e9/(RES[:,0]*RES[:,1])
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NOPT = result[6:12,2]+result[6:12,3]*1.1e9/(RES[:,0]*RES[:,1])
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plt.figure()
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plt.plot(X,OPT,'+-')
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plt.plot(X,NOPT,'+-')
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plt.legend(["Optimisé","Non optimisé"])
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plt.xlabel("Résolution")
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plt.ylabel("CPP")
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plt.title("CPP en fonction des images")
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plt.show()
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