SYMBOL INDEX (405 symbols across 81 files)

FILE: DenseFusion/datasets/warehouse/dataset.py
  class PoseDataset (line 18) | class PoseDataset(data.Dataset):
    method __init__ (line 19) | def __init__(self, mode, num_pt, add_noise, root, noise_trans, refine):
    method __getitem__ (line 98) | def __getitem__(self, index):
    method __len__ (line 238) | def __len__(self):
    method get_sym_list (line 241) | def get_sym_list(self):
    method get_num_points_mesh (line 244) | def get_num_points_mesh(self):
  function get_bbox (line 255) | def get_bbox(label):

FILE: DenseFusion/lib/extractors.py
  function load_weights_sequential (line 8) | def load_weights_sequential(target, source_state):
  function conv3x3 (line 14) | def conv3x3(in_planes, out_planes, stride=1, dilation=1):
  class BasicBlock (line 18) | class BasicBlock(nn.Module):
    method __init__ (line 21) | def __init__(self, inplanes, planes, stride=1, downsample=None, dilati...
    method forward (line 29) | def forward(self, x):
  class Bottleneck (line 46) | class Bottleneck(nn.Module):
    method __init__ (line 48) | def __init__(self, inplanes, planes, stride=1, downsample=None, dilati...
    method forward (line 58) | def forward(self, x):
  class ResNet (line 78) | class ResNet(nn.Module):
    method __init__ (line 79) | def __init__(self, block, layers=(3, 4, 23, 3)):
    method _make_layer (line 99) | def _make_layer(self, block, planes, blocks, stride=1, dilation=1):
    method forward (line 114) | def forward(self, x):
  function resnet18 (line 127) | def resnet18(pretrained=False):
  function resnet34 (line 131) | def resnet34(pretrained=False):
  function resnet50 (line 135) | def resnet50(pretrained=False):
  function resnet101 (line 139) | def resnet101(pretrained=False):
  function resnet152 (line 143) | def resnet152(pretrained=False):

FILE: DenseFusion/lib/knn/__init__.py
  class KNearestNeighbor (line 9) | class KNearestNeighbor(Function):
    method __init__ (line 12) | def __init__(self, k):
    method forward (line 15) | def forward(self, ref, query):
  class TestKNearestNeighbor (line 26) | class TestKNearestNeighbor(unittest.TestCase):
    method test_forward (line 28) | def test_forward(self):

FILE: DenseFusion/lib/knn/knn_pytorch.py
  function __bootstrap__ (line 1) | def __bootstrap__():

FILE: DenseFusion/lib/knn/setup.py
  function get_extensions (line 16) | def get_extensions():

FILE: DenseFusion/lib/knn/src/cpu/knn_cpu.cpp
  function knn_cpu (line 4) | void knn_cpu(float* ref_dev, int ref_width, float* query_dev, int query_...

FILE: DenseFusion/lib/knn/src/knn.h
  function knn (line 12) | int knn(at::Tensor& ref, at::Tensor& query, at::Tensor& idx)

FILE: DenseFusion/lib/knn/src/vision.cpp
  function PYBIND11_MODULE (line 3) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {

FILE: DenseFusion/lib/loss.py
  function loss_calculation (line 12) | def loss_calculation(pred_r, pred_t, pred_c, target, model_points, idx, ...
  class Loss (line 74) | class Loss(_Loss):
    method __init__ (line 76) | def __init__(self, num_points_mesh, sym_list):
    method forward (line 81) | def forward(self, pred_r, pred_t, pred_c, target, model_points, idx, p...

FILE: DenseFusion/lib/loss_refiner.py
  function loss_calculation (line 12) | def loss_calculation(pred_r, pred_t, target, model_points, idx, points, ...
  class Loss_refine (line 67) | class Loss_refine(_Loss):
    method __init__ (line 69) | def __init__(self, num_points_mesh, sym_list):
    method forward (line 75) | def forward(self, pred_r, pred_t, target, model_points, idx, points):

FILE: DenseFusion/lib/network.py
  class ModifiedResnet (line 27) | class ModifiedResnet(nn.Module):
    method __init__ (line 29) | def __init__(self, usegpu=True):
    method forward (line 35) | def forward(self, x):
  class PoseNetFeat (line 39) | class PoseNetFeat(nn.Module):
    method __init__ (line 40) | def __init__(self, num_points):
    method forward (line 53) | def forward(self, x, emb):
  class PoseNet (line 70) | class PoseNet(nn.Module):
    method __init__ (line 71) | def __init__(self, num_points, num_obj):
    method forward (line 95) | def forward(self, img, x, choose, obj):
  class PoseRefineNetFeat (line 136) | class PoseRefineNetFeat(nn.Module):
    method __init__ (line 137) | def __init__(self, num_points):
    method forward (line 151) | def forward(self, x, emb):
  class PoseRefineNet (line 170) | class PoseRefineNet(nn.Module):
    method __init__ (line 171) | def __init__(self, num_points, num_obj):
    method forward (line 187) | def forward(self, x, emb, obj):

FILE: DenseFusion/lib/pspnet.py
  class PSPModule (line 7) | class PSPModule(nn.Module):
    method __init__ (line 8) | def __init__(self, features, out_features=1024, sizes=(1, 2, 3, 6)):
    method _make_stage (line 15) | def _make_stage(self, features, size):
    method forward (line 20) | def forward(self, feats):
  class PSPUpsample (line 27) | class PSPUpsample(nn.Module):
    method __init__ (line 28) | def __init__(self, in_channels, out_channels):
    method forward (line 36) | def forward(self, x):
  class PSPNet (line 40) | class PSPNet(nn.Module):
    method __init__ (line 41) | def __init__(self, n_classes=21, sizes=(1, 2, 3, 6), psp_size=2048, de...
    method forward (line 64) | def forward(self, x):

FILE: DenseFusion/lib/transformations.py
  function identity_matrix (line 207) | def identity_matrix():
  function translation_matrix (line 222) | def translation_matrix(direction):
  function translation_from_matrix (line 235) | def translation_from_matrix(matrix):
  function reflection_matrix (line 247) | def reflection_matrix(point, normal):
  function reflection_from_matrix (line 273) | def reflection_from_matrix(matrix):
  function rotation_matrix (line 302) | def rotation_matrix(angle, direction, point=None):
  function rotation_from_matrix (line 346) | def rotation_from_matrix(matrix):
  function scale_matrix (line 386) | def scale_matrix(factor, origin=None, direction=None):
  function scale_from_matrix (line 420) | def scale_from_matrix(matrix):
  function projection_matrix (line 461) | def projection_matrix(point, normal, direction=None,
  function projection_from_matrix (line 523) | def projection_from_matrix(matrix, pseudo=False):
  function clip_matrix (line 596) | def clip_matrix(left, right, bottom, top, near, far, perspective=False):
  function shear_matrix (line 648) | def shear_matrix(angle, direction, point, normal):
  function shear_from_matrix (line 679) | def shear_from_matrix(matrix):
  function decompose_matrix (line 724) | def decompose_matrix(matrix):
  function compose_matrix (line 809) | def compose_matrix(scale=None, shear=None, angles=None, translate=None,
  function orthogonalization_matrix (line 862) | def orthogonalization_matrix(lengths, angles):
  function affine_matrix_from_points (line 889) | def affine_matrix_from_points(v0, v1, shear=True, scale=True, usesvd=True):
  function superimposition_matrix (line 998) | def superimposition_matrix(v0, v1, scale=False, usesvd=True):
  function euler_matrix (line 1049) | def euler_matrix(ai, aj, ak, axes='sxyz'):
  function euler_from_matrix (line 1112) | def euler_from_matrix(matrix, axes='sxyz'):
  function euler_from_quaternion (line 1170) | def euler_from_quaternion(quaternion, axes='sxyz'):
  function quaternion_from_euler (line 1181) | def quaternion_from_euler(ai, aj, ak, axes='sxyz'):
  function quaternion_about_axis (line 1238) | def quaternion_about_axis(angle, axis):
  function quaternion_matrix (line 1254) | def quaternion_matrix(quaternion):
  function quaternion_from_matrix (line 1281) | def quaternion_from_matrix(matrix, isprecise=False):
  function quaternion_multiply (line 1366) | def quaternion_multiply(quaternion1, quaternion0):
  function quaternion_conjugate (line 1383) | def quaternion_conjugate(quaternion):
  function quaternion_inverse (line 1397) | def quaternion_inverse(quaternion):
  function quaternion_real (line 1411) | def quaternion_real(quaternion):
  function quaternion_imag (line 1421) | def quaternion_imag(quaternion):
  function quaternion_slerp (line 1431) | def quaternion_slerp(quat0, quat1, fraction, spin=0, shortestpath=True):
  function random_quaternion (line 1472) | def random_quaternion(rand=None):
  function random_rotation_matrix (line 1500) | def random_rotation_matrix(rand=None):
  class Arcball (line 1515) | class Arcball(object):
    method __init__ (line 1538) | def __init__(self, initial=None):
    method place (line 1563) | def place(self, center, radius):
    method setaxes (line 1576) | def setaxes(self, *axes):
    method constrain (line 1584) | def constrain(self):
    method constrain (line 1589) | def constrain(self, value):
    method down (line 1593) | def down(self, point):
    method drag (line 1603) | def drag(self, point):
    method next (line 1616) | def next(self, acceleration=0.0):
    method matrix (line 1621) | def matrix(self):
  function arcball_map_to_sphere (line 1626) | def arcball_map_to_sphere(point, center, radius):
  function arcball_constrain_to_axis (line 1639) | def arcball_constrain_to_axis(point, axis):
  function arcball_nearest_axis (line 1655) | def arcball_nearest_axis(point, axes):
  function vector_norm (line 1688) | def vector_norm(data, axis=None, out=None):
  function unit_vector (line 1727) | def unit_vector(data, axis=None, out=None):
  function random_vector (line 1771) | def random_vector(size):
  function vector_product (line 1786) | def vector_product(v0, v1, axis=0):
  function angle_between_vectors (line 1807) | def angle_between_vectors(v0, v1, directed=True, axis=0):
  function inverse_matrix (line 1839) | def inverse_matrix(matrix):
  function concatenate_matrices (line 1855) | def concatenate_matrices(*matrices):
  function is_same_transform (line 1871) | def is_same_transform(matrix0, matrix1):
  function is_same_quaternion (line 1887) | def is_same_quaternion(q0, q1):
  function _import_module (line 1894) | def _import_module(name, package=None, warn=True, prefix='_py_', ignore=...

FILE: DenseFusion/lib/utils.py
  function setup_logger (line 3) | def setup_logger(logger_name, log_file, level=logging.INFO):

FILE: DenseFusion/tools/iliad.py
  function get_bbox (line 56) | def get_bbox(label):

FILE: DenseFusion/tools/train.py
  function main (line 51) | def main():

FILE: Mask_RCNN/mrcnn/config.py
  class Config (line 17) | class Config(object):
    method __init__ (line 213) | def __init__(self):
    method display (line 230) | def display(self):

FILE: Mask_RCNN/mrcnn/model.py
  function log (line 38) | def log(text, array=None):
  class BatchNorm (line 52) | class BatchNorm(KL.BatchNormalization):
    method call (line 60) | def call(self, inputs, training=None):
  function compute_backbone_shapes (line 70) | def compute_backbone_shapes(config, image_shape):
  function identity_block (line 94) | def identity_block(input_tensor, kernel_size, filters, stage, block,
  function conv_block (line 129) | def conv_block(input_tensor, kernel_size, filters, stage, block,
  function resnet_graph (line 170) | def resnet_graph(input_image, architecture, stage5=False, train_bn=True):
  function apply_box_deltas_graph (line 212) | def apply_box_deltas_graph(boxes, deltas):
  function clip_boxes_graph (line 236) | def clip_boxes_graph(boxes, window):
  class ProposalLayer (line 254) | class ProposalLayer(KE.Layer):
    method __init__ (line 269) | def __init__(self, proposal_count, nms_threshold, config=None, **kwargs):
    method call (line 275) | def call(self, inputs):
    method compute_output_shape (line 330) | def compute_output_shape(self, input_shape):
  function log2_graph (line 338) | def log2_graph(x):
  class PyramidROIAlign (line 343) | class PyramidROIAlign(KE.Layer):
    method __init__ (line 363) | def __init__(self, pool_shape, **kwargs):
    method call (line 367) | def call(self, inputs):
    method compute_output_shape (line 448) | def compute_output_shape(self, input_shape):
  function overlaps_graph (line 456) | def overlaps_graph(boxes1, boxes2):
  function detection_targets_graph (line 485) | def detection_targets_graph(proposals, gt_class_ids, gt_boxes, gt_masks,...
  class DetectionTargetLayer (line 622) | class DetectionTargetLayer(KE.Layer):
    method __init__ (line 647) | def __init__(self, config, **kwargs):
    method call (line 651) | def call(self, inputs):
    method compute_output_shape (line 667) | def compute_output_shape(self, input_shape):
    method compute_mask (line 676) | def compute_mask(self, inputs, mask=None):
  function refine_detections_graph (line 684) | def refine_detections_graph(rois, probs, deltas, window, config):
  class DetectionLayer (line 782) | class DetectionLayer(KE.Layer):
    method __init__ (line 791) | def __init__(self, config=None, **kwargs):
    method call (line 795) | def call(self, inputs):
    method compute_output_shape (line 822) | def compute_output_shape(self, input_shape):
  function rpn_graph (line 830) | def rpn_graph(feature_map, anchors_per_location, anchor_stride):
  function build_rpn_model (line 874) | def build_rpn_model(anchor_stride, anchors_per_location, depth):
  function fpn_classifier_graph (line 900) | def fpn_classifier_graph(rois, feature_maps, image_meta,
  function build_fpn_mask_graph (line 956) | def build_fpn_mask_graph(rois, feature_maps, image_meta,
  function smooth_l1_loss (line 1012) | def smooth_l1_loss(y_true, y_pred):
  function rpn_class_loss_graph (line 1022) | def rpn_class_loss_graph(rpn_match, rpn_class_logits):
  function rpn_bbox_loss_graph (line 1047) | def rpn_bbox_loss_graph(config, target_bbox, rpn_match, rpn_bbox):
  function mrcnn_class_loss_graph (line 1076) | def mrcnn_class_loss_graph(target_class_ids, pred_class_logits,
  function mrcnn_bbox_loss_graph (line 1112) | def mrcnn_bbox_loss_graph(target_bbox, target_class_ids, pred_bbox):
  function mrcnn_mask_loss_graph (line 1143) | def mrcnn_mask_loss_graph(target_masks, target_class_ids, pred_masks):
  function load_image_gt (line 1186) | def load_image_gt(dataset, config, image_id, augment=False, augmentation...
  function build_detection_targets (line 1289) | def build_detection_targets(rpn_rois, gt_class_ids, gt_boxes, gt_masks, ...
  function build_rpn_targets (line 1445) | def build_rpn_targets(image_shape, anchors, gt_class_ids, gt_boxes, conf...
  function generate_random_rois (line 1556) | def generate_random_rois(image_shape, count, gt_class_ids, gt_boxes):
  function data_generator (line 1630) | def data_generator(dataset, config, shuffle=True, augment=False, augment...
  class MaskRCNN (line 1819) | class MaskRCNN():
    method __init__ (line 1825) | def __init__(self, mode, config, model_dir):
    method build (line 1838) | def build(self, mode, config):
    method find_last (line 2065) | def find_last(self):
    method load_weights (line 2094) | def load_weights(self, filepath, by_name=False, exclude=None):
    method get_imagenet_weights (line 2138) | def get_imagenet_weights(self):
    method compile (line 2152) | def compile(self, learning_rate, momentum):
    method set_trainable (line 2200) | def set_trainable(self, layer_regex, keras_model=None, indent=0, verbo...
    method set_log_dir (line 2237) | def set_log_dir(self, model_path=None):
    method train (line 2275) | def train(self, train_dataset, val_dataset, learning_rate, epochs, lay...
    method mold_inputs (line 2377) | def mold_inputs(self, images):
    method unmold_detections (line 2416) | def unmold_detections(self, detections, mrcnn_mask, original_image_shape,
    method detect (line 2481) | def detect(self, images, verbose=0):
    method detect_molded (line 2540) | def detect_molded(self, molded_images, image_metas, verbose=0):
    method get_anchors (line 2598) | def get_anchors(self, image_shape):
    method ancestor (line 2620) | def ancestor(self, tensor, name, checked=None):
    method find_trainable_layer (line 2648) | def find_trainable_layer(self, layer):
    method get_trainable_layers (line 2657) | def get_trainable_layers(self):
    method run_graph (line 2669) | def run_graph(self, images, outputs, image_metas=None):
  function compose_image_meta (line 2725) | def compose_image_meta(image_id, original_image_shape, image_shape,
  function parse_image_meta (line 2750) | def parse_image_meta(meta):
  function parse_image_meta_graph (line 2774) | def parse_image_meta_graph(meta):
  function mold_image (line 2798) | def mold_image(images, config):
  function unmold_image (line 2806) | def unmold_image(normalized_images, config):
  function trim_zeros_graph (line 2815) | def trim_zeros_graph(boxes, name=None):
  function batch_pack_graph (line 2827) | def batch_pack_graph(x, counts, num_rows):
  function norm_boxes_graph (line 2837) | def norm_boxes_graph(boxes, shape):
  function denorm_boxes_graph (line 2854) | def denorm_boxes_graph(boxes, shape):

FILE: Mask_RCNN/mrcnn/parallel_model.py
  class ParallelModel (line 22) | class ParallelModel(KM.Model):
    method __init__ (line 30) | def __init__(self, keras_model, gpu_count):
    method __getattribute__ (line 41) | def __getattribute__(self, attrname):
    method summary (line 48) | def summary(self, *args, **kwargs):
    method make_parallel (line 54) | def make_parallel(self):
  function build_model (line 128) | def build_model(x_train, num_classes):

FILE: Mask_RCNN/mrcnn/utils.py
  function extract_bboxes (line 33) | def extract_bboxes(mask):
  function compute_iou (line 59) | def compute_iou(box, boxes, box_area, boxes_area):
  function compute_overlaps (line 80) | def compute_overlaps(boxes1, boxes2):
  function compute_overlaps_masks (line 99) | def compute_overlaps_masks(masks1, masks2):
  function non_max_suppression (line 121) | def non_max_suppression(boxes, scores, threshold):
  function apply_box_deltas (line 158) | def apply_box_deltas(boxes, deltas):
  function box_refinement_graph (line 182) | def box_refinement_graph(box, gt_box):
  function box_refinement (line 208) | def box_refinement(box, gt_box):
  class Dataset (line 238) | class Dataset(object):
    method __init__ (line 254) | def __init__(self, class_map=None):
    method add_class (line 261) | def add_class(self, source, class_id, class_name):
    method add_image (line 275) | def add_image(self, source, image_id, path, **kwargs):
    method image_reference (line 284) | def image_reference(self, image_id):
    method prepare (line 293) | def prepare(self, class_map=None):
    method map_source_class_id (line 331) | def map_source_class_id(self, source_class_id):
    method get_source_class_id (line 339) | def get_source_class_id(self, class_id, source):
    method image_ids (line 346) | def image_ids(self):
    method source_image_link (line 349) | def source_image_link(self, image_id):
    method load_image (line 356) | def load_image(self, image_id):
    method load_mask (line 369) | def load_mask(self, image_id):
  function resize_image (line 388) | def resize_image(image, min_dim=None, max_dim=None, min_scale=None, mode...
  function resize_mask (line 495) | def resize_mask(mask, scale, padding, crop=None):
  function minimize_mask (line 517) | def minimize_mask(bbox, mask, mini_shape):
  function expand_mask (line 537) | def expand_mask(bbox, mini_mask, image_shape):
  function mold_mask (line 556) | def mold_mask(mask, config):
  function unmold_mask (line 560) | def unmold_mask(mask, bbox, image_shape):
  function generate_anchors (line 583) | def generate_anchors(scales, ratios, shape, feature_stride, anchor_stride):
  function generate_pyramid_anchors (line 622) | def generate_pyramid_anchors(scales, ratios, feature_shapes, feature_str...
  function trim_zeros (line 646) | def trim_zeros(x):
  function compute_matches (line 656) | def compute_matches(gt_boxes, gt_class_ids, gt_masks,
  function compute_ap (line 715) | def compute_ap(gt_boxes, gt_class_ids, gt_masks,
  function compute_ap_range (line 754) | def compute_ap_range(gt_box, gt_class_id, gt_mask,
  function compute_recall (line 778) | def compute_recall(pred_boxes, gt_boxes, iou):
  function batch_slice (line 803) | def batch_slice(inputs, graph_fn, batch_size, names=None):
  function download_trained_weights (line 840) | def download_trained_weights(coco_model_path, verbose=1):
  function norm_boxes (line 853) | def norm_boxes(boxes, shape):
  function denorm_boxes (line 870) | def denorm_boxes(boxes, shape):
  function resize (line 887) | def resize(image, output_shape, order=1, mode='constant', cval=0, clip=T...

FILE: Mask_RCNN/mrcnn/visualize.py
  function display_images (line 35) | def display_images(images, titles=None, cols=4, cmap=None, norm=None,
  function random_colors (line 59) | def random_colors(N, bright=True):
  function apply_mask (line 72) | def apply_mask(image, mask, color, alpha=0.5):
  function display_instances (line 83) | def display_instances(image, boxes, masks, class_ids, class_names,
  function display_differences (line 171) | def display_differences(image,
  function draw_rois (line 209) | def draw_rois(image, rois, refined_rois, mask, class_ids, class_names, l...
  function draw_box (line 271) | def draw_box(image, box, color):
  function display_top_masks (line 283) | def display_top_masks(image, mask, class_ids, class_names, limit=4):
  function plot_precision_recall (line 306) | def plot_precision_recall(AP, precisions, recalls):
  function plot_overlaps (line 321) | def plot_overlaps(gt_class_ids, pred_class_ids, pred_scores,
  function draw_boxes (line 360) | def draw_boxes(image, boxes=None, refined_boxes=None,
  function display_table (line 463) | def display_table(table):
  function display_weight_stats (line 477) | def display_weight_stats(model):

FILE: Mask_RCNN/samples/warehouse/eval.py
  class WarehouseConfig (line 34) | class WarehouseConfig(Config):
  function color_map (line 54) | def color_map():
  function get_masks (line 79) | def get_masks(image, mask, class_ids):
  function detect_and_get_masks (line 103) | def detect_and_get_masks(model):
  class InferenceConfig (line 142) | class InferenceConfig(WarehouseConfig):

FILE: Mask_RCNN/samples/warehouse/iliad.py
  class WarehouseConfig (line 28) | class WarehouseConfig(Config):
  function seq_get_masks (line 48) | def seq_get_masks(image, cur_detection):
  function detect_and_get_masks (line 74) | def detect_and_get_masks(model, data_path, num_frames, num_keyframes):
  class InferenceConfig (line 151) | class InferenceConfig(WarehouseConfig):

FILE: Mask_RCNN/samples/warehouse/train.py
  class WarehouseConfig (line 45) | class WarehouseConfig(Config):
  class WarehouseDataset (line 70) | class WarehouseDataset(utils.Dataset):
    method load_Warehouse (line 72) | def load_Warehouse(self, dataset_dir, subset):
    method load_mask (line 127) | def load_mask(self, image_id):
    method image_reference (line 155) | def image_reference(self, image_id):
  function train (line 163) | def train(model):

FILE: Mask_RCNN/setup.py
  function _parse_requirements (line 16) | def _parse_requirements(file_path):

FILE: obj_pose_est/include/obj_pose_est/kalman_filter.h
  type Eigen (line 17) | typedef Eigen::Matrix<float, 6, 1> Vector6f;
  type Eigen (line 18) | typedef Eigen::Matrix<float, 6, 6> Matrix6f;
  function class (line 23) | class kalman_filter

FILE: obj_pose_est/include/obj_pose_est/model_to_scene.h
  type boundingBBox (line 40) | struct boundingBBox
  type ObjectModel (line 50) | struct ObjectModel
  type ObjectInstance (line 58) | struct ObjectInstance
  function class (line 65) | class model_to_scene

FILE: obj_pose_est/mapping/Core/src/Cuda/containers/device_array.hpp
  class DeviceArray (line 51) | class DeviceArray : public DeviceMemory
  class DeviceArray2D (line 148) | class DeviceArray2D : public DeviceMemory2D

FILE: obj_pose_est/mapping/Core/src/Cuda/containers/device_array_impl.hpp
  function T (line 68) | inline       T* DeviceArray<T>::ptr()       { return DeviceMemory::ptr<T...
  function T (line 69) | inline const T* DeviceArray<T>::ptr() const { return DeviceMemory::ptr<T...
  function T (line 103) | inline       T* DeviceArray2D<T>::ptr(int y)       { return DeviceMemory...
  function T (line 104) | inline const T* DeviceArray2D<T>::ptr(int y) const { return DeviceMemory...

FILE: obj_pose_est/mapping/Core/src/Cuda/containers/device_memory.cpp
  function _Tp (line 69) | static inline _Tp CV_XADD(_Tp* addr, _Tp delta)
  function DeviceMemory (line 88) | DeviceMemory& DeviceMemory::operator = (const DeviceMemory& other_arg)
  function DeviceMemory2D (line 193) | DeviceMemory2D& DeviceMemory2D::operator = (const DeviceMemory2D& other_...

FILE: obj_pose_est/mapping/Core/src/Cuda/containers/device_memory.hpp
  class DeviceMemory (line 50) | class DeviceMemory
  class DeviceMemory2D (line 138) | class DeviceMemory2D

FILE: obj_pose_est/mapping/Core/src/Cuda/containers/device_memory_impl.hpp
  function T (line 42) | inline       T* DeviceMemory::ptr()       { return (      T*)data_; }
  function T (line 43) | inline const T* DeviceMemory::ptr() const { return (const T*)data_; }
  function T (line 55) | T* DeviceMemory2D::ptr(int y_arg)       { return (      T*)((      char*...
  function T (line 56) | const T* DeviceMemory2D::ptr(int y_arg) const { return (const T*)((const...

FILE: obj_pose_est/mapping/Core/src/Cuda/containers/kernel_containers.hpp
  type DevPtr (line 49) | struct DevPtr
    method GPU_HOST_DEVICE__ (line 56) | GPU_HOST_DEVICE__ DevPtr() : data(0) {}
    method GPU_HOST_DEVICE__ (line 57) | GPU_HOST_DEVICE__ DevPtr(T* data_arg) : data(data_arg) {}
    method GPU_HOST_DEVICE__ (line 59) | GPU_HOST_DEVICE__ size_t elemSize() const { return elem_size; }
    method GPU_HOST_DEVICE__ (line 60) | GPU_HOST_DEVICE__ operator       T*()       { return data; }
    method GPU_HOST_DEVICE__ (line 61) | GPU_HOST_DEVICE__ operator const T*() const { return data; }
  type PtrSz (line 64) | struct PtrSz : public DevPtr<T>
    method GPU_HOST_DEVICE__ (line 66) | GPU_HOST_DEVICE__ PtrSz() : size(0) {}
  type PtrStep (line 72) | struct PtrStep : public DevPtr<T>
    method GPU_HOST_DEVICE__ (line 74) | GPU_HOST_DEVICE__ PtrStep() : step(0) {}
    method GPU_HOST_DEVICE__ (line 80) | GPU_HOST_DEVICE__       T* ptr(int y = 0)       { return (      T*)( (...
    method GPU_HOST_DEVICE__ (line 81) | GPU_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (...
  type PtrStepSz (line 84) | struct PtrStepSz : public PtrStep<T>

FILE: obj_pose_est/mapping/Core/src/Deformation.h
  function class (line 34) | class Deformation

FILE: obj_pose_est/mapping/Core/src/ElasticFusion.cpp
  function IndexMap (line 1265) | IndexMap & ElasticFusion::getIndexMap()
  function GlobalModel (line 1270) | GlobalModel & ElasticFusion::getGlobalModel()
  function Ferns (line 1275) | Ferns & ElasticFusion::getFerns()
  function Deformation (line 1280) | Deformation & ElasticFusion::getLocalDeformation()
  function RGBDOdometry (line 1295) | const RGBDOdometry & ElasticFusion::getModelToModel()

FILE: obj_pose_est/mapping/Core/src/ElasticFusion.h
  function class (line 40) | class ElasticFusion

FILE: obj_pose_est/mapping/Core/src/Ferns.h
  function class (line 33) | class Ferns

FILE: obj_pose_est/mapping/Core/src/GPUTexture.h
  function class (line 34) | class GPUTexture

FILE: obj_pose_est/mapping/Core/src/GlobalModel.h
  function class (line 35) | class GlobalModel

FILE: obj_pose_est/mapping/Core/src/IndexMap.h
  function class (line 33) | class IndexMap

FILE: obj_pose_est/mapping/Core/src/PoseMatch.h
  function class (line 25) | class PoseMatch

FILE: obj_pose_est/mapping/Core/src/Shaders/ComputePack.h
  function class (line 27) | class ComputePack

FILE: obj_pose_est/mapping/Core/src/Shaders/FeedbackBuffer.h
  function class (line 32) | class FeedbackBuffer

FILE: obj_pose_est/mapping/Core/src/Shaders/FillIn.h
  function class (line 28) | class FillIn

FILE: obj_pose_est/mapping/Core/src/Shaders/Resize.h
  function class (line 30) | class Resize

FILE: obj_pose_est/mapping/Core/src/Shaders/Shaders.h
  function class (line 27) | class Shader : public pangolin::GlSlProgram
  function std (line 69) | static inline std::shared_ptr<Shader> loadProgramGeomFromFile(const std:...
  function std (line 80) | static inline std::shared_ptr<Shader> loadProgramFromFile(const std::str...
  function std (line 90) | static inline std::shared_ptr<Shader> loadProgramFromFile(const std::str...
  function std (line 101) | static inline std::shared_ptr<Shader> loadProgramFromFile(const std::str...

FILE: obj_pose_est/mapping/Core/src/Shaders/Uniform.h
  function class (line 25) | class Uniform

FILE: obj_pose_est/mapping/Core/src/Shaders/Vertex.h
  function class (line 26) | class Vertex

FILE: obj_pose_est/mapping/Core/src/Utils/CholeskyDecomp.h
  function class (line 27) | class CholeskyDecomp

FILE: obj_pose_est/mapping/Core/src/Utils/DeformationGraph.h
  function class (line 34) | class DeformationGraph

FILE: obj_pose_est/mapping/Core/src/Utils/GPUConfig.h
  function class (line 30) | class GPUConfig

FILE: obj_pose_est/mapping/Core/src/Utils/GraphNode.h
  function class (line 24) | class GraphNode

FILE: obj_pose_est/mapping/Core/src/Utils/Intrinsics.cpp
  function Intrinsics (line 9) | const Intrinsics & Intrinsics::getInstance(float fx,float fy,float cx,fl...

FILE: obj_pose_est/mapping/Core/src/Utils/Intrinsics.h
  function class (line 26) | class Intrinsics

FILE: obj_pose_est/mapping/Core/src/Utils/Jacobian.h
  function class (line 26) | class Jacobian
  function reset (line 65) | void reset()

FILE: obj_pose_est/mapping/Core/src/Utils/OdometryProvider.h
  function class (line 26) | class OdometryProvider
  function computeUpdateSE3 (line 73) | static inline void computeUpdateSE3(Eigen::Matrix<double, 4, 4, Eigen::R...

FILE: obj_pose_est/mapping/Core/src/Utils/OrderedJacobianRow.h
  function class (line 25) | class OrderedJacobianRow
  function append (line 43) | void append(const int index, const double value)
  function addTo (line 54) | void addTo(const int index, const double value, const double weight)
  function nonZeros (line 60) | int nonZeros()

FILE: obj_pose_est/mapping/Core/src/Utils/Parse.cpp
  function Parse (line 26) | const Parse & Parse::get()

FILE: obj_pose_est/mapping/Core/src/Utils/Parse.h
  function class (line 40) | class Parse

FILE: obj_pose_est/mapping/Core/src/Utils/RGBDOdometry.h
  function class (line 31) | class RGBDOdometry

FILE: obj_pose_est/mapping/Core/src/Utils/Resolution.cpp
  function Resolution (line 9) | const Resolution & Resolution::getInstance(int width,int height)

FILE: obj_pose_est/mapping/Core/src/Utils/Resolution.h
  function class (line 26) | class Resolution

FILE: obj_pose_est/mapping/Core/src/Utils/Stopwatch.h
  type stopwatchPacketType (line 53) | typedef char stopwatchPacketType;
  type stopwatchPacketType (line 55) | typedef unsigned char stopwatchPacketType;
  function class (line 92) | class Stopwatch
  function printAll (line 119) | void printAll()
  function pulse (line 129) | void pulse(std::string name)
  function sendAll (line 134) | void sendAll()
  function getCurrentSystemTime (line 150) | static unsigned long long int getCurrentSystemTime()
  function tick (line 158) | void tick(std::string name, unsigned long long int start)
  function tock (line 163) | void tock(std::string name, unsigned long long int end)
  function virtual (line 189) | virtual ~Stopwatch()
  type sockaddr_in (line 228) | struct sockaddr_in

FILE: obj_pose_est/mapping/Core/src/Utils/WindowsExtras.cpp
  function gettimeofday (line 17) | int gettimeofday(struct timeval * tp,struct timezone * tzp)

FILE: obj_pose_est/mapping/Core/src/Utils/WindowsExtras.h
  type timeval (line 13) | struct timeval
  type timezone (line 13) | struct timezone

FILE: obj_pose_est/mapping/app/src/Main.cpp
  function main (line 21) | int main(int argc, char * argv[])

FILE: obj_pose_est/mapping/app/src/MainController.h
  function class (line 39) | class MainController

FILE: obj_pose_est/mapping/app/src/Tools/CameraInterface.h
  function class (line 10) | class CameraInterface

FILE: obj_pose_est/mapping/app/src/Tools/GUI.h
  function class (line 32) | class GUI
  function virtual (line 171) | virtual ~GUI()
  function preCall (line 223) | void preCall()
  function drawFrustum (line 234) | inline void drawFrustum(const Eigen::Matrix4f & pose)
  function displayImg (line 254) | void displayImg(const std::string & id, GPUTexture * img)
  function postCall (line 267) | void postCall()
  function drawFXAA (line 281) | void drawFXAA(pangolin::OpenGlMatrix mvp,

FILE: obj_pose_est/mapping/app/src/Tools/GroundTruthOdometry.h
  function class (line 36) | class GroundTruthOdometry

FILE: obj_pose_est/mapping/app/src/Tools/JPEGLoader.h
  function jpegFail (line 30) | static void jpegFail(j_common_ptr cinfo)
  function doNothing (line 35) | static void doNothing(j_decompress_ptr)
  function class (line 40) | class JPEGLoader

FILE: obj_pose_est/mapping/app/src/Tools/LiveLogReader.h
  function class (line 36) | class LiveLogReader : public LogReader

FILE: obj_pose_est/mapping/app/src/Tools/LogReader.h
  function class (line 38) | class LogReader

FILE: obj_pose_est/mapping/app/src/Tools/OpenNI2Interface.h
  function class (line 32) | class OpenNI2Interface : public CameraInterface

FILE: obj_pose_est/mapping/app/src/Tools/RawLogReader.h
  function class (line 35) | class RawLogReader : public LogReader

FILE: obj_pose_est/mapping/app/src/Tools/RealSenseInterface.h
  function class (line 15) | class RealSenseInterface : public CameraInterface

FILE: obj_pose_est/mapping/app/src/Tools/ThreadMutexObject.h
  function assign (line 39) | void assign(T newValue)
  function assignAndNotifyAll (line 58) | void assignAndNotifyAll(T newValue)
  function notifyAll (line 69) | void notifyAll()
  function T (line 78) | T getValue()
  function T (line 89) | T waitForSignal()

FILE: obj_pose_est/scripts/ObjectRPE_srv.py
  function handle_ObjectRPE (line 7) | def handle_ObjectRPE(req):
  function ObjectRPE_server (line 51) | def ObjectRPE_server():

FILE: obj_pose_est/src/iliad_rpe_cam_node.cpp
  class rpeCamNode (line 20) | class rpeCamNode
  function main (line 613) | int main(int argc, char** argv)

FILE: obj_pose_est/src/iliad_rpe_node.cpp
  function depthToClould (line 55) | bool depthToClould()
  function colorMap (line 91) | void colorMap(int i, pcl::PointXYZRGB &point)
  function overlapPortion (line 158) | double overlapPortion(const pcl::PointCloud<pcl::PointXYZRGB> &source,
  function processModels (line 188) | void processModels()
  function getCalibrationParas (line 270) | void getCalibrationParas(std::string dataset)
  function extract_transform_from_quaternion (line 284) | void extract_transform_from_quaternion(std::string line, Eigen::Matrix4f...
  function extract_cam_pose (line 301) | void extract_cam_pose(std::string line)
  function main (line 319) | int main(int argc, char** argv)

FILE: obj_pose_est/src/kalman_filter.cpp
  function Vector6f (line 13) | inline Vector6f kalman_filter::subPose(const Vector6f &origin, const Vec...
  function Vector6f (line 37) | inline Vector6f kalman_filter::addPose(const Vector6f &origin, const Vec...