UniTO/anno2/YearI/SecondSem/BDM/progetto/source/gesture.py
Francesco Mecca 5e286062f8 MCAD 2019
2018-11-22 13:09:11 +01:00

65 lines
2.2 KiB
Python
Executable file

#!/usr/bin/python3
import parser
from series_util import discretize_series, extract_series
from multiprocessing import Pool, Manager
import pandas as pd
class Gesture:
# mantain data relative to gesture
# files, parser, normalization
def __init__(self, gestureId, parser, files):
manager = Manager()
self.pool = Pool()
self.id = gestureId
self.parser = parser
self.files = files
# to allow concurrent update
self.norm = manager.dict()
self.discretized = manager.dict()
self.wordSet = manager.dict()
# parallelization using map
def normalize_files(self):
results = []
for i in range(0, 4):
results.append(self.pool.map(self.parser.normalize, self.files[i]))
self.norm= {"w":results[0], "x":results[1], "y":results[2], "z":results[3]}
def print_normalized(self):
if not self.norm:
self.normalize_files()
print(self.norm)
# TODO improve complexity
def discretize(self, gaussianInterval):
for coord in self.norm.keys():
# for each x,y,w,z
frameList = []
for frame in self.norm.get(coord):
# for each dataframe in x,y,w,z
discFrame = []
for i in range(0, frame.shape[0]):
# for each row (series) of the dataframe
series = extract_series(frame.as_matrix(), i)
discFrame.append(discretize_series(series, gaussianInterval))
frameList.append(pd.DataFrame(discFrame))
self.discretized[coord] = frameList
# TODO improve complexity
def get_words(self, window, step):
for coord in self.norm.keys():
# for each x,y,w,z
wordFrameList = []
for frame in self.discretized.get(coord):
# for each dataframe in x,y,w,z
wordFrame = []
for i in range(0, frame.shape[0]):
# for each series of the dataframe
words = get_gesture_words(extract_series(frame.as_matrix(), i))
wordFrame.append(words)
wordFrameList.append(pd.DataFrame(wordList))
self.wordSet[coord] = wordFrameList