Movement-classification/convert.py at master · Shaashwat05/Movement-classification · GitHub

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import os
import glob
import pandas as pd
import numpy as np
import pickle


for path in glob.glob('/home/shaashwatlobnikki/Desktop/movement_classification/data/*/'):
    for bvh in glob.glob(path+'*.bvh'):
        bvh = bvh[bvh.index('data'):]
        #if(bvh[bvh.rindex('/')+1:-7] in arr):
        os.system("bvh-converter "+ bvh)


for path in glob.glob('/home/shaashwatlobnikki/Desktop/movement_classification/data/*/'):
    for path2 in glob.glob(path+'*.csv'):

        if(path2 not in path):
            print(path2)
            dat = pd.read_csv(path2)
            dat = dat.drop(['Time'], axis=1)

            coors = []
            coors_final = []

            for col in dat.columns:
                if col.endswith('.Z'):
                    continue
                else:
                    coors.append(dat[col].values.tolist())

            ind = [27, 28, 29, 33, 34, 35, 5, 6, 7, 14, 15, 16, 23]

            for i in range(len(coors[0])):
                coord = []
                for j in range(len(coors)//2):
                    if(j in ind):
                        coord.append([int(coors[j*2][i]*15), int(coors[j*2+1][i]*15)])
                coors_final.append(coord),


            pickle_out = open('pickle_data'+path2[path2.rindex('/'):len(path2)-3]+'pickle',"wb")
            pickle.dump(coors_final, pickle_out)
            pickle_out.close()