def __init__(self, recorder=None, config=None, relative=""):
''' initialization '''
self.config = config
''' general settings '''
self.subdirs = self.config['used_gestures'].split(',')
self.nClasses = int(self.config['used_classes'])
self.samples_per_frame = int(self.config['samples_per_frame'])
''' preprocessing settings '''
self.slice_left = int(self.config['slice_left'])
self.slice_right = int(self.config['slice_right'])
self.wanted_frames = self.samples_per_frame - self.slice_left - self.slice_right
self.framerange = int(self.config['framerange'])
self.timeout = int(self.config['timeout'])
self.smooth = float(self.config['smooth'])
self.use_each_second = int(self.config['use_each_second'])
self.threshold = float(self.config['threshold'])
self.new_preprocess = self.config['new_preprocess'] in ["True", "true", "1"]
''' svm settings '''
self.kernel = self.config['kernel']
self.c = float(self.config['c'])
self.gamma = float(self.config['gamma'])
self.degree = int(self.config['degree'])
self.coef0 = float(self.config['coef0'])
''' static settings '''
self.gestures_path = os.path.join(os.path.dirname(__file__), '..', '..', '..', 'gestures')
self.path = os.path.join(os.path.dirname(__file__), 'svm_trained.pkl')
self.datalist = []
self.datanum = 0
self.gesturefound = 0
self.gestureindex = 0
self.X_train, self.Y_train = None, None
''' initialization methods '''
self.classifier = self.load(self.path)
# create dataloader instance
self.dataloader = Dataloader(self.config)
self.ref_frequency_frame = self.dataloader.load_ref_frequency_frame()
self.dataloader.updatePreprocessorInstance(self.ref_frequency_frame)
# create preprocessor instance
self.preprocessor = Preprocessor(self.config, self.ref_frequency_frame)
# create appstarter instance
self.appstarter = Starter()
