Gaurav Kumar Raghav
46 linhas
1.5 KiB
Python
46 linhas
1.5 KiB
Python
import cPickle
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import os
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from multiprocessing import Pool
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import sys
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import numpy as np
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chan = ['Fp1','AF3','F3','F7','FC5','FC1','C3','T7','CP5','CP1','P3','P7','PO3','O1','Oz','Pz','Fp2','AF4','Fz','F4','F8','FC6','FC2','Cz','C4','T8','CP6','CP2','P4','P8','PO4','O2']
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nLabel, nTrial, nUser, nChannel, nTime = 4, 40, 32, 32, 8064
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print "Program started \n"
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fout_labels0 = open("labels_0.dat",'w')
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fout_labels1 = open("labels_1.dat",'w')
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fout_labels2 = open("labels_2.dat",'w')
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fout_labels3 = open("labels_3.dat",'w')
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for i in range(nUser):#4, 40, 32, 32, 8064
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if i < 10:
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name = '%0*d' % (2,i+1)
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else:
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name = i+1
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fname = "/data_preprocessed_python/data_preprocessed_python/s"+str(name)+".dat"
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x = cPickle.load(open(fname, 'rb'))
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print fname
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for tr in range(nTrial):
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fout_data = open("features_raw.csv",'w')
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for ch in chan:
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fout_data.write(ch+",")
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fout_data.write("\n")
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for dat in range(nTime):
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for ch in range(nChannel):
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if ch <32:
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if ch == 31:
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fout_data.write(str(x['data'][tr][ch][dat]));
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else:
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fout_data.write(str(x['data'][tr][ch][dat])+",");
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fout_data.write("\n");
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fout_labels0.write(str(x['labels'][tr][0]) + "\n");
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fout_labels1.write(str(x['labels'][tr][1]) + "\n");
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fout_labels2.write(str(x['labels'][tr][2]) + "\n");
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fout_labels3.write(str(x['labels'][tr][3]) + "\n");
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fout_data.close()
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os.system('python creating_vector.py')
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print "user "+ str(i) +" trail"+ str(tr)
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fout_labels0.close()
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fout_labels1.close()
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fout_labels2.close()
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fout_labels3.close()
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print "\n"+"Print Successful"
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