SYMBOL INDEX (45 symbols across 7 files)

FILE: leap/image_augmentation.py
  function transform_imgs (line 6) | def transform_imgs(X, theta=(-180,180), scale=1.0):
  class PairedImageAugmenter (line 47) | class PairedImageAugmenter(Sequence):
    method __init__ (line 48) | def __init__(self, X, Y, batch_size=32, shuffle=False, theta=(-180,180...
    method __len__ (line 62) | def __len__(self):
    method __getitem__ (line 65) | def __getitem__(self, batch_idx):
  class MultiInputOutputPairedImageAugmenter (line 75) | class MultiInputOutputPairedImageAugmenter(PairedImageAugmenter):
    method __init__ (line 76) | def __init__(self, input_names, output_names, *args, **kwargs):
    method __getitem__ (line 85) | def __getitem__(self, batch_idx):

FILE: leap/layers.py
  function resize_images (line 43) | def resize_images(x, height_factor, width_factor, interpolation, data_fo...
  class UpSampling2D (line 86) | class UpSampling2D(Layer):
    method __init__ (line 120) | def __init__(self, size=(2, 2), data_format=None, interpolation='neare...
    method compute_output_shape (line 132) | def compute_output_shape(self, input_shape):
    method call (line 148) | def call(self, inputs):
    method get_config (line 152) | def get_config(self):
  function _find_maxima (line 159) | def _find_maxima(x):
  function find_maxima (line 180) | def find_maxima(x, data_format):
  class Maxima2D (line 202) | class Maxima2D(Layer):
    method __init__ (line 232) | def __init__(self, data_format=None, **kwargs):
    method compute_output_shape (line 241) | def compute_output_shape(self, input_shape):
    method call (line 251) | def call(self, inputs):
    method get_config (line 254) | def get_config(self):
  function residual_bottleneck_module (line 260) | def residual_bottleneck_module(x_in, output_filters=32, bottleneck_facto...

FILE: leap/models.py
  function leap_cnn (line 9) | def leap_cnn(img_size, output_channels, filters=64, upsampling_layers=Fa...
  function hourglass (line 59) | def hourglass(img_size, output_channels, filters=64, upsampling_layers=F...
  function stacked_hourglass (line 131) | def stacked_hourglass(img_size, output_channels, filters=64, upsampling_...

FILE: leap/predict_box.py
  function tf_find_peaks (line 15) | def tf_find_peaks(x):
  function convert_to_peak_outputs (line 48) | def convert_to_peak_outputs(model, include_confmaps=False):
  function predict_box (line 62) | def predict_box(box_path, model_path, out_path, *, box_dset="/box", epoc...

FILE: leap/training.py
  function train_val_split (line 19) | def train_val_split(X, Y, val_size=0.15, shuffle=True):
  function create_run_folders (line 35) | def create_run_folders(run_name, base_path="models", clean=False):
  class LossHistory (line 65) | class LossHistory(keras.callbacks.Callback):
    method __init__ (line 66) | def __init__(self, run_path):
    method on_train_begin (line 70) | def on_train_begin(self, logs={}):
    method on_epoch_end (line 73) | def on_epoch_end(self, batch, logs={}):
  function create_model (line 85) | def create_model(net_name, img_size, output_channels, **kwargs):
  function train (line 99) | def train(data_path, *,

FILE: leap/utils.py
  function versions (line 7) | def versions(list_devices=False):
  function find_weights (line 25) | def find_weights(model_path):
  function find_best_weights (line 38) | def find_best_weights(model_path):
  function load_dataset (line 48) | def load_dataset(data_path, X_dset="box", Y_dset="confmaps", permute=(0,...
  function preprocess (line 66) | def preprocess(X, permute=(0,3,2,1)):

FILE: leap/viz.py
  function show_pred (line 6) | def show_pred(net, X, Y, joint_idx=0, alpha_pred=0.7, save_path=None, sh...
  function gallery (line 78) | def gallery(array, ncols=4):
  function show_confmap_grid (line 94) | def show_confmap_grid(net, X, Y, plot=True, save_path=None, show_figure=...
  function plot_history (line 133) | def plot_history(history, save_path=None, show_figure=False):