SYMBOL INDEX (132 symbols across 15 files)

FILE: _tf_compat_import.py
  function _compat_tf_import (line 3) | def _compat_tf_import(enable_gpu: bool = True):

FILE: faster_rcnn_wrapper.py
  class FasterRCNNSlim (line 8) | class FasterRCNNSlim:
    method __init__ (line 10) | def __init__(self):
    method _resnet_arg_scope (line 164) | def _resnet_arg_scope():
    method _reshape (line 184) | def _reshape(bottom, num_dim, name):
    method _softmax (line 193) | def _softmax(bottom, name):
    method test_image (line 201) | def test_image(self, sess, image, im_info):

FILE: main.py
  function detect (line 12) | def detect(sess, rcnn_cls, image):
  function load_file_from_dir (line 60) | def load_file_from_dir(dir_path):
  function fmt_time (line 71) | def fmt_time(dtime):
  function main (line 83) | def main():

FILE: nms/py_cpu_nms.py
  function py_cpu_nms (line 10) | def py_cpu_nms(dets, thresh):

FILE: nms_wrapper.py
  class NMSType (line 4) | class NMSType(Enum):
  class NMSWrapper (line 13) | class NMSWrapper:
    method __init__ (line 14) | def __init__(self, nms_type=default_nms_type):
    method __call__ (line 28) | def __call__(self, *args, **kwargs):

FILE: setup.py
  class custom_build_ext (line 24) | class custom_build_ext(build_ext):
    method build_extensions (line 25) | def build_extensions(self):

FILE: tf_contrib/arg_scope.py
  function _get_arg_stack (line 79) | def _get_arg_stack():
  function current_arg_scope (line 87) | def current_arg_scope():
  function arg_scope_func_key (line 92) | def arg_scope_func_key(op):
  function _name_op (line 96) | def _name_op(op):
  function _kwarg_names (line 100) | def _kwarg_names(func):
  function _add_op (line 105) | def _add_op(op):
  function arg_scope (line 111) | def arg_scope(list_ops_or_scope, **kwargs):
  function add_arg_scope (line 165) | def add_arg_scope(func):
  function has_arg_scope (line 189) | def has_arg_scope(func):
  function arg_scoped_arguments (line 201) | def arg_scoped_arguments(func):

FILE: tf_contrib/initializers.py
  function xavier_initializer (line 31) | def xavier_initializer(uniform=True, seed=None, dtype=dtypes.float32):
  function variance_scaling_initializer (line 62) | def variance_scaling_initializer(factor=2.0, mode='FAN_IN', uniform=False,

FILE: tf_contrib/layers.py
  function avg_pool2d (line 78) | def avg_pool2d(inputs,
  function avg_pool3d (line 127) | def avg_pool3d(inputs,
  function _fused_batch_norm (line 175) | def _fused_batch_norm(inputs,
  function batch_norm (line 431) | def batch_norm(inputs,
  function bias_add (line 841) | def bias_add(inputs,
  function convolution (line 918) | def convolution(inputs,
  function convolution1d (line 1074) | def convolution1d(inputs,
  function convolution2d (line 1120) | def convolution2d(inputs,
  function convolution3d (line 1166) | def convolution3d(inputs,
  function convolution2d_in_plane (line 1212) | def convolution2d_in_plane(
  function convolution2d_transpose (line 1318) | def convolution2d_transpose(
  function convolution3d_transpose (line 1434) | def convolution3d_transpose(
  function dense_to_sparse (line 1548) | def dense_to_sparse(tensor, eos_token=0, outputs_collections=None, scope...
  function dropout (line 1573) | def dropout(inputs,
  function flatten (line 1617) | def flatten(inputs, outputs_collections=None, scope=None):
  function _sparse_inner_flatten (line 1638) | def _sparse_inner_flatten(inputs, new_rank):
  function _dense_inner_flatten (line 1655) | def _dense_inner_flatten(inputs, new_rank):
  function _inner_flatten (line 1683) | def _inner_flatten(inputs, new_rank, output_collections=None, scope=None):
  function _model_variable_getter (line 1717) | def _model_variable_getter(
  function _build_variable_getter (line 1755) | def _build_variable_getter(rename=None):
  function _add_variable_to_collections (line 1766) | def _add_variable_to_collections(variable, collections_set, collections_...
  function fully_connected (line 1780) | def fully_connected(inputs,
  function layer_norm (line 2204) | def layer_norm(inputs,
  function images_to_sequence (line 2337) | def images_to_sequence(inputs,
  function max_pool2d (line 2372) | def max_pool2d(inputs,
  function max_pool3d (line 2422) | def max_pool3d(inputs,
  function pool (line 2472) | def pool(inputs,
  function one_hot_encoding (line 2541) | def one_hot_encoding(labels,
  function _apply_activation (line 2569) | def _apply_activation(y, activation_fn, output_collections):
  function repeat (line 2577) | def repeat(inputs, repetitions, layer, *args, **kwargs):
  function _scale_gradient_shape (line 2623) | def _scale_gradient_shape(op):
  function _scale_gradient_grad (line 2628) | def _scale_gradient_grad(op, grad):
  function scale_gradient (line 2635) | def scale_gradient(inputs, gradient_multiplier):
  function separable_convolution2d (line 2666) | def separable_convolution2d(
  function sequence_to_images (line 2855) | def sequence_to_images(inputs,
  function softmax (line 2889) | def softmax(logits, scope=None):
  function spatial_softmax (line 2914) | def spatial_softmax(features,
  function stack (line 3010) | def stack(inputs, layer, stack_args, **kwargs):
  function unit_norm (line 3066) | def unit_norm(inputs, dim, epsilon=1e-7, scope=None):
  function maxout (line 3104) | def maxout(inputs, num_units, axis=-1, scope=None):
  function poincare_normalize (line 3150) | def poincare_normalize(x, axis=1, epsilon=1e-5, name=None):
  function legacy_fully_connected (line 3187) | def legacy_fully_connected(x,

FILE: tf_contrib/loader.py
  function load_op_library (line 30) | def load_op_library(path):

FILE: tf_contrib/regularizers.py
  function l1_regularizer (line 37) | def l1_regularizer(scale, scope=None):
  function l2_regularizer (line 76) | def l2_regularizer(scale, scope=None):
  function l1_l2_regularizer (line 112) | def l1_l2_regularizer(scale_l1=1.0, scale_l2=1.0, scope=None):
  function sum_regularizer (line 141) | def sum_regularizer(regularizer_list, scope=None):
  function apply_regularization (line 170) | def apply_regularization(regularizer, weights_list=None):

FILE: tf_contrib/resnet_utils.py
  class Block (line 55) | class Block(collections.namedtuple('Block', ['scope', 'unit_fn', 'args'])):
  function subsample (line 68) | def subsample(inputs, factor, scope=None):
  function conv2d_same (line 86) | def conv2d_same(inputs, num_outputs, kernel_size, stride, rate=1, scope=...
  function stack_blocks_dense (line 149) | def stack_blocks_dense(net,
  function resnet_arg_scope (line 224) | def resnet_arg_scope(weight_decay=0.0001,

FILE: tf_contrib/resnet_v1.py
  function bottleneck (line 74) | def bottleneck(inputs,
  function resnet_v1 (line 127) | def resnet_v1(inputs,
  function resnet_v1_block (line 226) | def resnet_v1_block(scope, base_depth, num_units, stride):
  function resnet_v1_50 (line 250) | def resnet_v1_50(inputs,
  function resnet_v1_101 (line 276) | def resnet_v1_101(inputs,
  function resnet_v1_152 (line 302) | def resnet_v1_152(inputs,
  function resnet_v1_200 (line 328) | def resnet_v1_200(inputs,

FILE: tf_contrib/utils.py
  function collect_named_outputs (line 42) | def collect_named_outputs(collections, alias, outputs):
  function append_tensor_alias (line 65) | def append_tensor_alias(tensor, alias):
  function gather_tensors_aliases (line 85) | def gather_tensors_aliases(tensors):
  function get_tensor_aliases (line 100) | def get_tensor_aliases(tensor):
  function convert_collection_to_dict (line 123) | def convert_collection_to_dict(collection, clear_collection=False):
  function constant_value (line 142) | def constant_value(value_or_tensor_or_var, dtype=None):
  function static_cond (line 171) | def static_cond(pred, fn1, fn2):
  function smart_cond (line 197) | def smart_cond(pred, fn1, fn2, name=None):
  function get_variable_collections (line 220) | def get_variable_collections(variables_collections, name):
  function _get_dimension (line 228) | def _get_dimension(shape, dim, min_rank=1):
  function channel_dimension (line 256) | def channel_dimension(shape, data_format, min_rank=1):
  function last_dimension (line 275) | def last_dimension(shape, min_rank=1):
  function two_element_tuple (line 292) | def two_element_tuple(int_or_tuple):
  function n_positive_integers (line 323) | def n_positive_integers(n, value):

FILE: tf_contrib/variables.py
  function zero_initializer (line 71) | def zero_initializer(ref, use_locking=True, name="zero_initializer"):
  function assert_global_step (line 96) | def assert_global_step(global_step_tensor):
  function assert_or_get_global_step (line 100) | def assert_or_get_global_step(graph=None, global_step_tensor=None):
  function get_global_step (line 125) | def get_global_step(graph=None):
  function create_global_step (line 130) | def create_global_step(graph=None):
  function get_or_create_global_step (line 149) | def get_or_create_global_step(graph=None):
  function local_variable (line 162) | def local_variable(initial_value,
  function global_variable (line 186) | def global_variable(initial_value,
  function variable (line 211) | def variable(name,
  function model_variable (line 286) | def model_variable(name,
  function add_model_variable (line 356) | def add_model_variable(var):
  function get_variables (line 366) | def get_variables(scope=None,
  function get_model_variables (line 390) | def get_model_variables(scope=None, suffix=None):
  function get_local_variables (line 403) | def get_local_variables(scope=None, suffix=None):
  function get_trainable_variables (line 416) | def get_trainable_variables(scope=None, suffix=None):
  function get_variables_to_restore (line 429) | def get_variables_to_restore(include=None, exclude=None):
  function get_variables_by_suffix (line 465) | def get_variables_by_suffix(suffix, scope=None):
  function get_variables_by_name (line 478) | def get_variables_by_name(given_name, scope=None):
  function get_unique_variable (line 492) | def get_unique_variable(var_op_name):
  function assign_from_values (line 515) | def assign_from_values(var_names_to_values):
  function assign_from_values_fn (line 570) | def assign_from_values_fn(var_names_to_values):
  function get_variable_full_name (line 598) | def get_variable_full_name(var):
  function assign_from_checkpoint (line 623) | def assign_from_checkpoint(model_path, var_list, ignore_missing_vars=Fal...
  function assign_from_checkpoint_fn (line 710) | def assign_from_checkpoint_fn(model_path,
  class VariableDeviceChooser (line 770) | class VariableDeviceChooser(object):
    method __init__ (line 777) | def __init__(self,
    method __call__ (line 807) | def __call__(self, op):
  function filter_variables (line 820) | def filter_variables(var_list,