SYMBOL INDEX (137 symbols across 11 files)

FILE: D3QN/D3QN_testing.py
  function variable_summaries (line 31) | def variable_summaries(var):
  function weight_variable (line 43) | def weight_variable(shape):
  function bias_variable (line 47) | def bias_variable(shape):
  function conv2d (line 51) | def conv2d(x, W, stride_h, stride_w):
  class QNetwork (line 55) | class QNetwork(object):
    method __init__ (line 57) | def __init__(self, sess, depth_predict):
  function updateTargetGraph (line 133) | def updateTargetGraph(tfVars,tau):
  function updateTarget (line 140) | def updateTarget(op_holder,sess):
  function TestNetwork (line 144) | def TestNetwork():
  function main (line 264) | def main():

FILE: D3QN/D3QN_training.py
  function variable_summaries (line 34) | def variable_summaries(var):
  function weight_variable (line 46) | def weight_variable(shape):
  function bias_variable (line 50) | def bias_variable(shape):
  function conv2d (line 54) | def conv2d(x, W, stride_h, stride_w):
  class QNetwork (line 58) | class QNetwork(object):
    method __init__ (line 60) | def __init__(self, sess):
  function updateTargetGraph (line 133) | def updateTargetGraph(tfVars,tau):
  function updateTarget (line 140) | def updateTarget(op_holder,sess):
  function trainNetwork (line 144) | def trainNetwork():
  function main (line 284) | def main():

FILE: D3QN/GazeboWorld.py
  class GazeboWorld (line 20) | class GazeboWorld():
    method __init__ (line 21) | def __init__(self):
    method ModelStateCallBack (line 82) | def ModelStateCallBack(self, data):
    method DepthImageCallBack (line 118) | def DepthImageCallBack(self, img):
    method RGBImageCallBack (line 121) | def RGBImageCallBack(self, img):
    method LaserScanCallBack (line 124) | def LaserScanCallBack(self, scan):
    method OdometryCallBack (line 129) | def OdometryCallBack(self, odometry):
    method BumperCallBack (line 134) | def BumperCallBack(self, bumper_data):
    method GetDepthImageObservation (line 140) | def GetDepthImageObservation(self):
    method GetRGBImageObservation (line 194) | def GetRGBImageObservation(self):
    method PublishDepthPrediction (line 211) | def PublishDepthPrediction(self, depth_img):
    method GetLaserObservation (line 220) | def GetLaserObservation(self):
    method GetSelfState (line 225) | def GetSelfState(self):
    method GetSelfLinearXSpeed (line 228) | def GetSelfLinearXSpeed(self):
    method GetSelfOdomeSpeed (line 231) | def GetSelfOdomeSpeed(self):
    method GetTargetState (line 235) | def GetTargetState(self, name):
    method GetSelfSpeed (line 238) | def GetSelfSpeed(self):
    method GetBump (line 241) | def GetBump(self):
    method SetObjectPose (line 244) | def SetObjectPose(self, name='mobile_base', random_flag=False):
    method States2State (line 257) | def States2State(self, states, name):
    method ResetWorld (line 268) | def ResetWorld(self):
    method Control (line 278) | def Control(self, action):
    method shutdown (line 293) | def shutdown(self):
    method GetRewardAndTerminate (line 299) | def GetRewardAndTerminate(self, t):

FILE: D3QN/RealWorld.py
  class RealWorld (line 20) | class RealWorld():
    method __init__ (line 21) | def __init__(self):
    method ModelStateCallBack (line 90) | def ModelStateCallBack(self, data):
    method DepthImageCallBack (line 127) | def DepthImageCallBack(self, img):
    method RGBImageCallBack (line 130) | def RGBImageCallBack(self, img):
    method LaserScanCallBack (line 133) | def LaserScanCallBack(self, scan):
    method OdometryCallBack (line 139) | def OdometryCallBack(self, odometry):
    method BumperCallBack (line 144) | def BumperCallBack(self, bumper_data):
    method sim_noise (line 150) | def sim_noise(self, depthFile, rgbFile):
    method GetDepthImageObservation (line 176) | def GetDepthImageObservation(self):
    method GetRGBImageObservation (line 218) | def GetRGBImageObservation(self):
    method PublishDepthPrediction (line 235) | def PublishDepthPrediction(self, depth_img):
    method GetLaserObservation (line 244) | def GetLaserObservation(self):
    method GetSelfState (line 249) | def GetSelfState(self):
    method GetSelfLinearXSpeed (line 252) | def GetSelfLinearXSpeed(self):
    method GetSelfOdomeSpeed (line 255) | def GetSelfOdomeSpeed(self):
    method GetTargetState (line 259) | def GetTargetState(self, name):
    method GetSelfSpeed (line 262) | def GetSelfSpeed(self):
    method GetBump (line 265) | def GetBump(self):
    method SetObjectPose (line 268) | def SetObjectPose(self, name='mobile_base', random_flag=False):
    method States2State (line 281) | def States2State(self, states, name):
    method ResetWorld (line 291) | def ResetWorld(self):
    method Control (line 301) | def Control(self, action):
    method shutdown (line 315) | def shutdown(self):
    method GetRewardAndTerminate (line 321) | def GetRewardAndTerminate(self, t):
    method GetTargetPoint (line 337) | def GetTargetPoint(self):

FILE: D3QN/models/fcrn.py
  class ResNet50UpProj (line 3) | class ResNet50UpProj(Network):
    method setup (line 4) | def setup(self):

FILE: D3QN/models/network.py
  function get_incoming_shape (line 15) | def get_incoming_shape(incoming):
  function interleave (line 25) | def interleave(tensors, axis):
  function layer (line 31) | def layer(op):
  class Network (line 57) | class Network(object):
    method __init__ (line 59) | def __init__(self, inputs, batch, keep_prob, is_training, trainable=Fa...
    method setup (line 74) | def setup(self):
    method load (line 78) | def load(self, data_path, session, ignore_missing=False):
    method feed (line 96) | def feed(self, *args):
    method get_output (line 111) | def get_output(self):
    method get_layer_output (line 115) | def get_layer_output(self, name):
    method get_unique_name (line 118) | def get_unique_name(self, prefix):
    method make_var (line 125) | def make_var(self, name, shape, trainable=False):
    method validate_padding (line 129) | def validate_padding(self, padding):
    method conv (line 134) | def conv(self,
    method relu (line 188) | def relu(self, input_data, name):
    method max_pool (line 192) | def max_pool(self, input_data, k_h, k_w, s_h, s_w, name, padding=DEFAU...
    method avg_pool (line 201) | def avg_pool(self, input_data, k_h, k_w, s_h, s_w, name, padding=DEFAU...
    method lrn (line 210) | def lrn(self, input_data, radius, alpha, beta, name, bias=1.0):
    method concat (line 219) | def concat(self, inputs, axis, name):
    method add (line 223) | def add(self, inputs, name):
    method fc (line 227) | def fc(self, input_data, num_out, name, relu=True):
    method softmax (line 245) | def softmax(self, input_data, name):
    method batch_normalization (line 258) | def batch_normalization(self, input_data, name, scale_offset=True, rel...
    method dropout (line 291) | def dropout(self, input_data, keep_prob, name):
    method unpool_as_conv (line 295) | def unpool_as_conv(self, size, input_data, id, stride = 1, ReLU = Fals...
    method up_project (line 350) | def up_project(self, size, id, stride = 1, BN = True, trainable=False):

FILE: Depth/DataPreprocess.py
  function ismember (line 11) | def ismember(A, B):
  function rgb_data_color_aug (line 14) | def rgb_data_color_aug(rgb_images):
  function crop_img (line 25) | def crop_img(img):

FILE: Depth/FCRN/models/fcrn.py
  class ResNet50UpProj (line 3) | class ResNet50UpProj(Network):
    method setup (line 4) | def setup(self):

FILE: Depth/FCRN/models/network.py
  function get_incoming_shape (line 15) | def get_incoming_shape(incoming):
  function interleave (line 25) | def interleave(tensors, axis):
  function layer (line 31) | def layer(op):
  class Network (line 57) | class Network(object):
    method __init__ (line 59) | def __init__(self, inputs, batch, keep_prob, is_training, trainable=Fa...
    method setup (line 74) | def setup(self):
    method load (line 78) | def load(self, data_path, session, ignore_missing=False):
    method feed (line 96) | def feed(self, *args):
    method get_output (line 111) | def get_output(self):
    method get_layer_output (line 115) | def get_layer_output(self, name):
    method get_unique_name (line 118) | def get_unique_name(self, prefix):
    method make_var (line 125) | def make_var(self, name, shape, trainable=False):
    method validate_padding (line 129) | def validate_padding(self, padding):
    method conv (line 134) | def conv(self,
    method relu (line 188) | def relu(self, input_data, name):
    method max_pool (line 192) | def max_pool(self, input_data, k_h, k_w, s_h, s_w, name, padding=DEFAU...
    method avg_pool (line 201) | def avg_pool(self, input_data, k_h, k_w, s_h, s_w, name, padding=DEFAU...
    method lrn (line 210) | def lrn(self, input_data, radius, alpha, beta, name, bias=1.0):
    method concat (line 219) | def concat(self, inputs, axis, name):
    method add (line 223) | def add(self, inputs, name):
    method fc (line 227) | def fc(self, input_data, num_out, name, relu=True):
    method softmax (line 245) | def softmax(self, input_data, name):
    method batch_normalization (line 258) | def batch_normalization(self, input_data, name, scale_offset=True, rel...
    method dropout (line 291) | def dropout(self, input_data, keep_prob, name):
    method unpool_as_conv (line 295) | def unpool_as_conv(self, size, input_data, id, stride = 1, ReLU = Fals...
    method up_project (line 350) | def up_project(self, size, id, stride = 1, BN = True, trainable=False):

FILE: Depth/FCRN/testing.py
  function output_predict (line 29) | def output_predict(predict, kinect, rgb, epoch, step):
  function SetDiff (line 54) | def SetDiff(first, second):
  function normalize_rgb (line 58) | def normalize_rgb(rgb_images, value):
  function consecutive_sample (line 65) | def consecutive_sample(data, start, end):

FILE: Depth/FCRN/training.py
  function output_predict (line 28) | def output_predict(predict, kinect, rgb, epoch, step):
  function SetDiff (line 53) | def SetDiff(first, second):
  function normalize_rgb (line 57) | def normalize_rgb(rgb_images, value):
  function consecutive_sample (line 64) | def consecutive_sample(data, start, end):