SYMBOL INDEX (85 symbols across 7 files)

FILE: data/data_utils.py
  class FunctionSet (line 11) | class FunctionSet():
    method __init__ (line 12) | def __init__(self, sample_rate=30.0, display_port=8093):
    method CHROM_method (line 15) | def CHROM_method(self, data):
    method POS_method (line 42) | def POS_method(self, data):
    method spatial_mean (line 66) | def spatial_mean(self, frames, mask):
  function butter_bandpass (line 75) | def butter_bandpass(lowcut, highcut, fs, order=5):
  function butter_bandpass_filter (line 83) | def butter_bandpass_filter(data, lowcut, highcut, fs, order=5):
  function normed (line 90) | def normed(a):
  function testing (line 99) | def testing(opt, model, testset, data_idx, epoch):
  function amp_equalize (line 116) | def amp_equalize(sig):
  function get_bpm (line 127) | def get_bpm(Sig, rate= 30.0):

FILE: data/dataload.py
  class SlideWindowDataLoader (line 11) | class SlideWindowDataLoader():
    method __init__ (line 21) | def __init__(self, opt, isTrain):
    method load_data (line 39) | def load_data(self):
    method __len__ (line 42) | def __len__(self):
    method __getitem__ (line 46) | def __getitem__(self, items):
    method quantify (line 79) | def quantify(self,rppg):
    method __call__ (line 89) | def __call__(self):

FILE: data/pre_dataload.py
  class BaselineDataset (line 17) | class BaselineDataset():
    method __init__ (line 21) | def __init__(self, opt, isTrain):
    method __getitem__ (line 57) | def __getitem__(self, items):
    method __len__ (line 102) | def __len__(self):
    method quantify (line 107) | def quantify(self, rppg):
    method baseline_procress (line 118) | def baseline_procress(self, data, mask):
    method __call__ (line 144) | def __call__(self, idx):

FILE: model/loss.py
  class ordLoss (line 15) | class ordLoss(nn.Module):
    method __init__ (line 21) | def __init__(self):
    method forward (line 25) | def forward(self, orig_ord_labels, orig_target):
  class customLoss (line 79) | class customLoss(nn.Module):
    method __init__ (line 83) | def __init__(self, device):
    method forward (line 103) | def forward(self, predict, true_rPPG):
    method torch_style_fft (line 122) | def torch_style_fft(self, sig):
  class regressLoss (line 129) | class regressLoss(nn.Module):
    method __init__ (line 130) | def __init__(self):
    method forward (line 135) | def forward(self, outputs, targets):
  class KLDivLoss (line 153) | class KLDivLoss(nn.Module):
    method __init__ (line 154) | def __init__(self, reduction="mean"):
    method forward (line 159) | def forward(self, outputs, targets):
  function torch_welch (line 170) | def torch_welch(sig, fps):

FILE: model/main_model.py
  class meta_rPPG (line 17) | class meta_rPPG(nn.Module):
    method __init__ (line 26) | def __init__(self, opt, isTrain, continue_train=False, norm_layer=nn.B...
    method print_networks (line 87) | def print_networks(self, print_net):
    method set_input (line 108) | def set_input(self, input):
    method set_input_for_test (line 115) | def set_input_for_test(self, input):
    method forward (line 120) | def forward(self, x):
    method new_theta_update (line 133) | def new_theta_update(self, epoch):
    method new_psi_phi_update (line 195) | def new_psi_phi_update(self, epoch):
    method update_prototype (line 273) | def update_prototype(self):
    method setup (line 295) | def setup(self, opt):
    method init_weights (line 309) | def init_weights(net1, net2, init_type='normal', init_gain=0.02):
    method save_networks (line 313) | def save_networks(self, suffix):
    method get_current_losses (line 331) | def get_current_losses(self, istest):
    method eval (line 338) | def eval(self):
    method train (line 347) | def train(self):
    method test (line 356) | def test(self):
    method fewshot_test (line 363) | def fewshot_test(self, epoch):
    method get_current_results (line 397) | def get_current_results(self, istest):
    method get_current_results_of_test (line 407) | def get_current_results_of_test(self):
    method load_networks (line 411) | def load_networks(self, suffix):
    method __patch_instance_norm_state_dict (line 440) | def __patch_instance_norm_state_dict(self, state_dict, module, keys, i...
    method get_param (line 455) | def get_param(self):
    method update_learning_rate (line 458) | def update_learning_rate(self, epoch):
  function init_func (line 472) | def init_func(m):  # define the initialization function

FILE: model/sub_model.py
  class Synthetic_Gradient_Generator (line 18) | class Synthetic_Gradient_Generator(nn.Module):
    method __init__ (line 19) | def __init__(self, input_channel, isTrain, device):
    method forward (line 40) | def forward(self, x):
  class Convolutional_Encoder (line 51) | class Convolutional_Encoder(nn.Module):
    method __init__ (line 52) | def __init__(self, input_channel, isTrain, device):
    method forward (line 73) | def forward(self, x):
    method return_grad (line 105) | def return_grad(self):
  class rPPG_Estimator (line 122) | class rPPG_Estimator(nn.Module):
    method __init__ (line 123) | def __init__(self, input_channel, num_layers, isTrain, device, num_cla...
    method forward (line 131) | def forward(self, x):
    method feed_hc (line 146) | def feed_hc(self, data):
    method return_grad (line 152) | def return_grad(self):
  class OrdinalRegressionLayer (line 164) | class OrdinalRegressionLayer(nn.Module):
    method __init__ (line 165) | def __init__(self):
    method forward (line 168) | def forward(self, x):

FILE: settings.py
  class TrainOptions (line 10) | class TrainOptions():
    method __init__ (line 11) | def __init__(self):
    method get_options (line 65) | def get_options(self):
    method get_parser (line 68) | def get_parser(self):
  class custom_scheduler (line 73) | class custom_scheduler():
    method __init__ (line 74) | def __init__(self, optimizer, Tmax):
    method step (line 81) | def step(self):