# this file generates images from the sequences of data from data_reader import DataReader from PIL import Image import numpy as np MASTER_FILEPATH = "D:\\deep learning dataset\\MS Fall Study" # replace this with the filepath to the "MS Fall Study" directory SEGMENT_SIZE = 40 # the number of sequential data measurements that are part of each "segment" of x data SEGMENTS_PER_PATIENT = 10 # the number of segments to get from each patient reader = DataReader(MASTER_FILEPATH) data = reader.get_segmented_data(SEGMENT_SIZE, SEGMENTS_PER_PATIENT) width = 21 height = SEGMENT_SIZE img = Image.fromarray(data[0][0], 'L') img.show() img.save('example.png')
def load_data(self): reader = DataReader(self.master_filepath) data = reader.get_segmented_data(self.segment_size, self.segments_per_patient) return (data)