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import json
import numpy as np
import os
from pyVHR.datasets.dataset import Dataset
from pyVHR.signals.bvp import BVPsignal
class PURE(Dataset):
"""
PURE dataset structure:
-----------------
datasetDIR/
|
|-- 01-01/
|---- Image...1.png
|---- Image.....png
|---- Image...n.png
|-- 01-01.json
|...
|...
|-- nn-nn/
|---- Image...1.png
|---- Image.....png
|---- Image...n.png
|-- nn-nn.json
|...
"""
name = 'PURE'
signalGT = 'BVP' # GT signal type
numLevels = 1 # depth of the filesystem collecting video and BVP files
numSubjects = 10 # number of subjects
video_EXT = 'png' # extension of the video files
frameRate = 30 # vieo frame rate
VIDEO_SUBSTRING = '-' # substring contained in the filename
SIG_EXT = 'json' # extension of the BVP files
SIG_SUBSTRING = '-' # substring contained in the filename
SIG_SampleRate = 60 # sample rate of the BVP files
skinThresh = [40,60] # thresholds for skin detection
def readSigfile(self, filename):
""" Load BVP signal.
Must return a 1-dim (row array) signal
"""
bvp = []
with open(filename) as json_file:
json_data = json.load(json_file)
for p in json_data['/FullPackage']:
bvp.append(p['Value']['waveform'])
data = np.array(bvp)
return BVPsignal(data, self.SIG_SampleRate)
def loadFilenames(self):
"""
Load dataset file names and directories of frames:
define vars videoFilenames and BVPFilenames
"""
# -- loop on the dir struct of the dataset getting directories and filenames
for root, dirs, files in os.walk(self.videodataDIR):
for f in files:
filename = os.path.join(root, f)
path, name = os.path.split(filename)
# -- select signal
if name.endswith(self.SIG_EXT) and (name.find(self.SIG_SUBSTRING)>=0):
self.sigFilenames.append(filename)
self.videoFilenames.append(filename[:-5] + '/file.' + self.video_EXT)
# -- number of videos
self.numVideos = len(self.videoFilenames)
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