SYMBOL INDEX (367 symbols across 48 files)

FILE: args.py
  function get_parser (line 3) | def get_parser():

FILE: dmm/dataloader/base.py
  function _load_annotation (line 24) | def _load_annotation(filename,single_object):
  function _get_num_objects (line 34) | def _get_num_objects(annotation):
  class BaseLoader (line 51) | class BaseLoader(ImageCollection):
    method __init__ (line 63) | def __init__(self,split,path,regex,load_func=None, lmdb_env=None, file...
    method __str__ (line 80) | def __str__(self):
  class Sequence (line 84) | class Sequence(BaseLoader):
    method __init__ (line 95) | def __init__(self,split,name,regex="*.jpg", lmdb_env=None, files=None):
  class SequenceClip_simple (line 102) | class SequenceClip_simple:
    method __init__ (line 112) | def __init__(self, seq, starting_frame):
    method __str__ (line 117) | def __str__(self):
  class SequenceClip (line 121) | class SequenceClip(BaseLoader):
    method __init__ (line 132) | def __init__(self,split,name,starting_frame,regex="*.jpg", lmdb_env=No...
    method __str__ (line 139) | def __str__(self):
  class Segmentation (line 143) | class Segmentation(BaseLoader):
    method __init__ (line 155) | def __init__(self,split,path,single_object,regex="*.png", lmdb_env=None):
    method iter_objects_id (line 161) | def iter_objects_id(self):
    method iter_objects (line 168) | def iter_objects(self):
  class Annotation (line 177) | class Annotation(Segmentation):
    method __init__ (line 189) | def __init__(self,split,name,single_object,regex="*.png", lmdb_env=None):
  class AnnotationClip_simple (line 195) | class AnnotationClip_simple:
    method __init__ (line 206) | def __init__(self, annot, starting_frame):
  class AnnotationClip (line 211) | class AnnotationClip(Segmentation):
    method __init__ (line 223) | def __init__(self,split,name,starting_frame,single_object,regex="*.png...

FILE: dmm/dataloader/base_youtube.py
  function _load_annotation (line 17) | def _load_annotation(filename,single_object):
  function _get_num_objects (line 27) | def _get_num_objects(annotation):
  function get_seq_path (line 43) | def get_seq_path(split):
  function get_seq (line 65) | def get_seq(split):
  class BaseLoader (line 86) | class BaseLoader(ImageCollection):
    method __init__ (line 96) | def __init__(self, split, path, regex, load_func=None, lmdb_env=None, ...
    method __str__ (line 115) | def __str__(self):
  class Sequence (line 119) | class Sequence(BaseLoader):
    method __init__ (line 127) | def __init__(self,split,name,regex="*.jpg", lmdb_env=None, files=None):
  class SequenceClip_simple (line 134) | class SequenceClip_simple:
    method __init__ (line 144) | def __init__(self, seq, starting_frame):
    method __str__ (line 151) | def __str__(self):
  class SequenceClip (line 155) | class SequenceClip(BaseLoader):
    method __init__ (line 166) | def __init__(self,split,name,starting_frame,regex="*.jpg", lmdb_env=No...
    method __str__ (line 173) | def __str__(self):
  class Segmentation (line 177) | class Segmentation(BaseLoader):
    method __init__ (line 189) | def __init__(self, split, path, single_object, regex="*.png", lmdb_env...
    method iter_objects_id (line 199) | def iter_objects_id(self):
    method iter_objects (line 206) | def iter_objects(self):
  class Annotation (line 215) | class Annotation(Segmentation):
    method __init__ (line 227) | def __init__(self,split,name,single_object,regex="*.png", lmdb_env=None):
  class AnnotationClip_simple (line 230) | class AnnotationClip_simple:
    method __init__ (line 242) | def __init__(self, annot, starting_frame):
  class AnnotationClip (line 246) | class AnnotationClip(Segmentation):
    method __init__ (line 257) | def __init__(self,split,name,starting_frame,single_object,regex="*.png...

FILE: dmm/dataloader/collate.py
  function eval_collate (line 34) | def eval_collate(batch):
  function cocotrain_collate (line 80) | def cocotrain_collate(batch):

FILE: dmm/dataloader/dataset.py
  class MyDataset (line 32) | class MyDataset(data.Dataset):
    method __init__ (line 37) | def __init__(self,
    method init_meta_data (line 80) | def init_meta_data(self):
    method get_root_dir (line 86) | def get_root_dir(self):
    method process_mask (line 96) | def process_mask(self, proposals):
    method get_classes (line 101) | def get_classes(self):
    method get_raw_sample (line 104) | def get_raw_sample(self,index):
    method init_load_proposals (line 115) | def init_load_proposals(self, vid=None):
    method _need_init (line 135) | def _need_init(self):
    method __getitem__ (line 146) | def __getitem__(self, index):
    method __len__ (line 295) | def __len__(self):
    method get_sample_list (line 298) | def get_sample_list(self):
    method sequence_from_masks (line 300) | def sequence_from_masks(self, seq_name, annot):

FILE: dmm/dataloader/dataset_utils.py
  function get_dataset (line 6) | def get_dataset(args, split, image_transforms = None, target_transforms ...
  function sequence_palette (line 20) | def sequence_palette():

FILE: dmm/dataloader/davis2017.py
  class DAVISLoader (line 40) | class DAVISLoader(MyDataset):
    method __init__ (line 53) | def __init__(self,
    method get_raw_sample (line 192) | def get_raw_sample(self, key):
    method get_raw_sample_clip (line 206) | def get_raw_sample_clip(self, key):
    method sequence_name_to_id (line 220) | def sequence_name_to_id(self,name):
    method sequence_name_to_id_clip (line 224) | def sequence_name_to_id_clip(self,name):
    method sequence_id_to_name (line 228) | def sequence_id_to_name(self,sid):
    method sequence_id_to_name_clip (line 232) | def sequence_id_to_name_clip(self,sid):
    method iternames (line 236) | def iternames(self):
    method iternames_clips (line 241) | def iternames_clips(self):
    method iteritems (line 246) | def iteritems(self):

FILE: dmm/dataloader/default_collate.py
  function default_convert (line 15) | def default_convert(data):
  function default_collate (line 43) | def default_collate(batch):

FILE: dmm/dataloader/evaluation.py
  function db_eval_sequence (line 31) | def db_eval_sequence(segmentations,annotations,measure='J',n_jobs=cfg.N_...
  function db_eval (line 60) | def db_eval(db,segmentations,measures,n_jobs=cfg.N_JOBS,verbose=True):
  function db_eval_sequence_call (line 114) | def db_eval_sequence_call(input_dict):
  function print_results (line 122) | def print_results(evaluation,method_name="-"):

FILE: dmm/dataloader/transforms/transforms.py
  function random_crop (line 14) | def random_crop(x_list, random_crop_size, orig_size, **kwargs):
  class RandomAffine (line 22) | class RandomAffine(object):
    method __init__ (line 24) | def __init__(self,
    method __call__ (line 84) | def __call__(self, *inputs):
  class Affine (line 99) | class Affine(object):
    method __init__ (line 101) | def __init__(self,
    method __call__ (line 120) | def __call__(self, *inputs):
  class AffineCompose (line 138) | class AffineCompose(object):
    method __init__ (line 140) | def __init__(self,
    method __call__ (line 166) | def __call__(self, *inputs):
  class RandomRotate (line 186) | class RandomRotate(object):
    method __init__ (line 188) | def __init__(self,
    method __call__ (line 211) | def __call__(self, *inputs):
  class RandomChoiceRotate (line 222) | class RandomChoiceRotate(object):
    method __init__ (line 224) | def __init__(self,
    method __call__ (line 258) | def __call__(self, *inputs):
  class Rotate (line 269) | class Rotate(object):
    method __init__ (line 271) | def __init__(self,
    method __call__ (line 294) | def __call__(self, *inputs):
  class RandomTranslate (line 317) | class RandomTranslate(object):
    method __init__ (line 319) | def __init__(self,
    method __call__ (line 353) | def __call__(self, *inputs):
  class RandomChoiceTranslate (line 368) | class RandomChoiceTranslate(object):
    method __init__ (line 370) | def __init__(self,
    method __call__ (line 406) | def __call__(self, *inputs):
  class Translate (line 419) | class Translate(object):
    method __init__ (line 421) | def __init__(self,
    method __call__ (line 450) | def __call__(self, *inputs):
  class RandomShear (line 475) | class RandomShear(object):
    method __init__ (line 477) | def __init__(self,
    method __call__ (line 499) | def __call__(self, *inputs):
  class RandomChoiceShear (line 510) | class RandomChoiceShear(object):
    method __init__ (line 512) | def __init__(self,
    method __call__ (line 545) | def __call__(self, *inputs):
  class Shear (line 557) | class Shear(object):
    method __init__ (line 559) | def __init__(self,
    method __call__ (line 567) | def __call__(self, *inputs):
  class RandomZoom (line 590) | class RandomZoom(object):
    method __init__ (line 592) | def __init__(self,
    method __call__ (line 621) | def __call__(self, *inputs):
  class RandomChoiceZoom (line 633) | class RandomChoiceZoom(object):
    method __init__ (line 635) | def __init__(self,
    method __call__ (line 669) | def __call__(self, *inputs):
  class Zoom (line 681) | class Zoom(object):
    method __init__ (line 683) | def __init__(self,
    method __call__ (line 709) | def __call__(self, *inputs):

FILE: dmm/dataloader/transforms/utils.py
  function th_allclose (line 12) | def th_allclose(x, y):
  function th_flatten (line 20) | def th_flatten(x):
  function th_c_flatten (line 24) | def th_c_flatten(x):
  function th_bc_flatten (line 31) | def th_bc_flatten(x):
  function th_zeros_like (line 39) | def th_zeros_like(x):
  function th_ones_like (line 42) | def th_ones_like(x):
  function th_constant_like (line 45) | def th_constant_like(x, val):
  function th_iterproduct (line 49) | def th_iterproduct(*args):
  function th_iterproduct_like (line 52) | def th_iterproduct_like(x):
  function th_uniform (line 56) | def th_uniform(lower, upper):
  function th_gather_nd (line 60) | def th_gather_nd(x, coords):
  function th_affine2d (line 67) | def th_affine2d(x, matrix, mode='bilinear', center=True):
  function th_nearest_interp2d (line 130) | def th_nearest_interp2d(input, coords):
  function th_bilinear_interp2d (line 151) | def th_bilinear_interp2d(input, coords):
  function th_affine3d (line 188) | def th_affine3d(x, matrix, mode='trilinear', center=True):
  function th_nearest_interp3d (line 226) | def th_nearest_interp3d(input, coords):
  function th_trilinear_interp3d (line 245) | def th_trilinear_interp3d(input, coords):
  function th_pearsonr (line 300) | def th_pearsonr(x, y):
  function th_corrcoef (line 314) | def th_corrcoef(x):
  function th_matrixcorr (line 336) | def th_matrixcorr(x, y):
  function th_random_choice (line 357) | def th_random_choice(a, n_samples=1, replace=True, p=None):
  function save_transform (line 400) | def save_transform(file, transform):
  function load_transform (line 409) | def load_transform(file):

FILE: dmm/dataloader/youtubeVOS.py
  class YoutubeVOSLoader (line 27) | class YoutubeVOSLoader(MyDataset):
    method __init__ (line 39) | def __init__(self,
    method get_raw_sample (line 268) | def get_raw_sample(self, key):
    method get_raw_sample_clip (line 282) | def get_raw_sample_clip(self, key):
    method sequence_name_to_id (line 296) | def sequence_name_to_id(self,name):
    method sequence_name_to_id_clip (line 300) | def sequence_name_to_id_clip(self,name):
    method sequence_id_to_name (line 304) | def sequence_id_to_name(self,sid):
    method sequence_id_to_name_clip (line 308) | def sequence_id_to_name_clip(self,sid):
    method iternames (line 312) | def iternames(self):
    method iternames_clips (line 317) | def iternames_clips(self):
    method iteritems (line 322) | def iteritems(self):

FILE: dmm/measures/f_boundary.py
  function db_eval_boundary (line 15) | def db_eval_boundary(foreground_mask,gt_mask,bound_th=0.008):
  function seg2bmap (line 80) | def seg2bmap(seg,width=None,height=None):

FILE: dmm/measures/jaccard.py
  function db_eval_iou (line 15) | def db_eval_iou(annotation,segmentation):

FILE: dmm/measures/statistics.py
  function mean (line 4) | def mean(X):
  function recall (line 11) | def recall(X,threshold=0.5):
  function decay (line 17) | def decay(X,n_bins=4):
  function std (line 32) | def std(X):
  function get (line 45) | def get(name):

FILE: dmm/measures/t_stability.py
  function get_bijective_pairs (line 15) | def get_bijective_pairs(pairs,costmat):
  function bij_pairs_one_dim (line 20) | def bij_pairs_one_dim(pairs, costmat, left_or_right):
  function hist_cost_2 (line 33) | def hist_cost_2(BH1,BH2):
  function sc_compute (line 48) | def sc_compute(Bsamp,Tsamp,mean_dist,nbins_theta,nbins_r,r_inner,r_outer...
  function db_eval_t_stab (line 99) | def db_eval_t_stab(fgmask,ground_truth,timing=True):

FILE: dmm/misc/config.py
  class phase (line 24) | class phase(Enum):
  function db_read_info (line 82) | def db_read_info():
  function db_read_attributes (line 87) | def db_read_attributes():
  function db_read_years (line 91) | def db_read_years():
  function db_read_sequences (line 95) | def db_read_sequences(year=None,db_phase=None):

FILE: dmm/misc/config_youtubeVOS.py
  class phase (line 10) | class phase(Enum):
  function db_read_sequences_train_testdev_ot (line 75) | def db_read_sequences_train_testdev_ot():
  function db_read_sequences_train (line 84) | def db_read_sequences_train():
  function db_read_sequences_val (line 91) | def db_read_sequences_val():
  function db_read_sequences_trainval (line 98) | def db_read_sequences_trainval():
  function get_img_path (line 109) | def get_img_path(split):
  function get_anno_path (line 123) | def get_anno_path(split):
  function get_db_path (line 136) | def get_db_path(split):

FILE: dmm/misc/io_aux.py
  function imread_indexed (line 6) | def imread_indexed(filename):
  function imwrite_indexed (line 14) | def imwrite_indexed(filename,array,color_palette=cfg.palette):

FILE: dmm/misc/parallel.py
  function Parallel (line 7) | def Parallel( *args, **kwargs ):
  function _pickle_method (line 11) | def _pickle_method(method):
  function _unpickle_method (line 16) | def _unpickle_method(func_name, obj):

FILE: dmm/misc/timer.py
  class Timer (line 16) | class Timer(object):
    method __init__ (line 18) | def __init__(self):
    method tic (line 22) | def tic(self):
    method toc (line 26) | def toc(self):

FILE: dmm/misc/visual.py
  function overlay (line 12) | def overlay(image,mask,colors=[255,0,0],cscale=2,alpha=0.4):

FILE: dmm/modules/base.py
  class FeatureExtractorBase (line 18) | class FeatureExtractorBase(nn.Module):
    method __init__ (line 22) | def __init__(self, args, pretrained = 1):
    method get_backbone_para (line 55) | def get_backbone_para(self):
    method get_skip_params (line 61) | def get_skip_params(self):
  class RSISMask (line 71) | class RSISMask(nn.Module):
    method __init__ (line 76) | def __init__(self, args):
    method forward (line 115) | def forward(self, skip_feats, prev_mask_list, prev_state_spatial, prev...

FILE: dmm/modules/clstm.py
  class ConvLSTMCell (line 7) | class ConvLSTMCell(nn.Module):
    method __init__ (line 9) | def __init__(self, args, input_size, hidden_size, kernel_size, padding):
    method forward (line 16) | def forward(self, input_, prev_state_spatial, hidden_state_temporal):
  class ConvLSTMCellMask (line 68) | class ConvLSTMCellMask(nn.Module):
    method __init__ (line 73) | def __init__(self, args, input_size, hidden_size, kernel_size, padding):
    method forward (line 80) | def forward(self, input_, prev_mask, prev_state_spatial, hidden_state_...

FILE: dmm/modules/dmm_model.py
  class DMM_Model (line 11) | class DMM_Model(nn.Module):
    method __init__ (line 16) | def __init__(self, cfgs, is_test=0):
    method fill_template_dict (line 22) | def fill_template_dict(self, args, proposals, features, y_mask, tplt_v...
    method inference (line 48) | def inference(self, infos, proposals, backbone_feature, mask_last_occu...
    method forward (line 88) | def forward(self, args, proposals, backbone_feature, mask_last_occuren...
    method prepare_tplt_feature (line 144) | def prepare_tplt_feature(self, tplt_valid_vid, tplt_dict, bid): #tplt_...

FILE: dmm/modules/evaluator.py
  class Evaler (line 20) | class Evaler(nn.Module):
    method __init__ (line 25) | def __init__(self, DMM, encoder, decoder, args, dmmcfgs):
    method forward (line 63) | def forward(self,batch_idx,inputs,imgs_names,targets,seq_name, args, p...
    method inference_timestep (line 151) | def inference_timestep(self, infos, tplt_dict, x, y_mask, prev_thid_li...
    method forward_timestep_init (line 215) | def forward_timestep_init(self, args, x, y_mask, predid_cur_frames, pr...
    method prepare_frame_names (line 227) | def prepare_frame_names(self, seq_name):

FILE: dmm/modules/feature_extractor.py
  class FeatureExtractor (line 5) | class FeatureExtractor(nn.Module):
    method __init__ (line 7) | def __init__(self):
    method init_pooler (line 11) | def init_pooler(self):
    method forward (line 20) | def forward(self, backbone_feature, proposals):
    method convert_to_roi_format (line 32) | def convert_to_roi_format(self, boxes):
    method roi_pooling (line 39) | def roi_pooling(self, backbone_feature, proposals):
  function make_roi_mask_feature_extractor (line 54) | def make_roi_mask_feature_extractor():
  function cat (line 57) | def cat(tensors, dim=0):

FILE: dmm/modules/match_model.py
  class MatchModel (line 13) | class MatchModel(nn.Module):
    method __init__ (line 14) | def __init__(self, cfgs={}, is_test=0):
    method forward (line 24) | def forward(self, proposed_feature, proposed_mask, template_feature, m...
    method compute_cost_matrix (line 49) | def compute_cost_matrix(self, features, mask, scores, targets=None):
    method match_with_first_frame (line 93) | def match_with_first_frame(self, sim_matrix, n_prop, n_tplt, proposed_...
    method compute_feature_score (line 150) | def compute_feature_score(self, key_feature, query_feature):

FILE: dmm/modules/model_encoder.py
  class FeatureExtractor (line 24) | class FeatureExtractor(FeatureExtractorBase):
    method __init__ (line 28) | def __init__(self, args, pretrained = 1):
    method init_pred_offline (line 56) | def init_pred_offline(self):
    method need_init (line 63) | def need_init(self):
    method get_optimizer (line 72) | def get_optimizer(self, optim_name, lr, args, weight_decay = 0, moment...
    method forward_base (line 86) | def forward_base(self, coco_input, args):
    method forward (line 97) | def forward(self,args,coco_input,predid_cur_frames=None,targets=None,p...

FILE: dmm/modules/submodules/relax_match.py
  function project_row (line 9) | def project_row(X):
  function project_col (line 21) | def project_col(X):
  function relax_matching (line 36) | def relax_matching(C, max_iter=100, proj_iter=100, lr=0.1, return_time=0):
  function test (line 108) | def test():
  function hungarian_matching (line 120) | def hungarian_matching(cost):
  function test_given_cost (line 129) | def test_given_cost(cost):

FILE: dmm/modules/trainer.py
  class Trainer (line 29) | class Trainer(nn.Module):
    method __init__ (line 34) | def __init__(self, DMM, encoder, decoder, args):
    method forward (line 66) | def forward(self,batch_idx,inputs,imgs_names,targets,seq_name,starting...
    method forward_timestep (line 132) | def forward_timestep(self, frame_idx, args, tplt_dict, x, y_mask, sw_m...
    method refine (line 236) | def refine(self, args, shapes, tplt_dict, feats, prev_thid_list, init_...
    method forward_timestep_init (line 308) | def forward_timestep_init(self, args, x, y_mask, mode='train', predid_...

FILE: dmm/modules/vision.py
  class ResNet101 (line 6) | class ResNet101(ResNet):
    method __init__ (line 8) | def __init__(self):
    method forward (line 11) | def forward(self, x):
  class ResNet50 (line 23) | class ResNet50(ResNet):
    method __init__ (line 25) | def __init__(self):
    method forward (line 28) | def forward(self, x):
  class ResNet34 (line 40) | class ResNet34(ResNet):
    method __init__ (line 42) | def __init__(self):
    method forward (line 45) | def forward(self, x):
  class VGG16 (line 57) | class VGG16(nn.Module):
    method __init__ (line 59) | def __init__(self, num_classes = 1000, features  =  [64, 64, 'M',
    method forward (line 77) | def forward(self, x):
    method _initialize_weights (line 117) | def _initialize_weights(self):

FILE: dmm/utils/Colorer.py
  function add_coloring_to_emit_windows (line 5) | def add_coloring_to_emit_windows(fn):
  function add_coloring_to_emit_ansi (line 74) | def add_coloring_to_emit_ansi(fn):

FILE: dmm/utils/boxlist_ops.py
  function _cat (line 5) | def _cat(tensors, dim=0):
  function filter_results (line 15) | def filter_results(boxlists, nms_thresh=0.8, max_proposals=0, score_fiel...
  function cat_boxlist (line 31) | def cat_boxlist(bboxes):
  function boxlist_iou (line 61) | def boxlist_iou(boxlist1, boxlist2):

FILE: dmm/utils/checker.py
  function CHECK2D (line 4) | def CHECK2D(tensor):
  function CHECK4D (line 8) | def CHECK4D(tensor):
  function CHECK5D (line 12) | def CHECK5D(tensor):
  function CHECK3D (line 16) | def CHECK3D(tensor):
  function CHECKSIZE (line 20) | def CHECKSIZE(tensor, size):
  function CHECKEQ (line 26) | def CHECKEQ(a, b,s=None):
  function CHECKABSST (line 35) | def CHECKABSST(a, b):
  function CHECKEQT (line 41) | def CHECKEQT(a,b):
  function CHECKINFO (line 45) | def CHECKINFO(tensor,mode,info):
  function CHECKBOX (line 55) | def CHECKBOX(a, b):
  function CHECKDEBUG (line 62) | def CHECKDEBUG(dmm_io, check_io, depth=0):

FILE: dmm/utils/eval_helper.py
  function compute_iou_binary_mask (line 7) | def compute_iou_binary_mask(annotation,segmentation):
  function plot_scores_map (line 22) | def plot_scores_map(mask, fname):

FILE: dmm/utils/hungarian.py
  function MaskedNLL (line 10) | def MaskedNLL(target, probs, balance_weights=None):
  function StableBalancedMaskedBCE (line 34) | def StableBalancedMaskedBCE(target, out, balance_weight = None):
  function softIoU (line 62) | def softIoU(target, out, e=1e-6, need_sigmoid=1):
  function match (line 88) | def match(masks, overlaps):
  function reorder_mask (line 120) | def reorder_mask(y_mask, permutation):

FILE: dmm/utils/masker.py
  class MaskPostProcessor (line 12) | class MaskPostProcessor(nn.Module):
    method __init__ (line 23) | def __init__(self, masker=None):
    method forward_mask_prop (line 27) | def forward_mask_prop(self, mask_prob, boxes):
    method forward (line 53) | def forward(self, x, boxes):
  function expand_boxes (line 93) | def expand_boxes(boxes, scale):
  function expand_masks (line 110) | def expand_masks(mask, padding):
  function paste_mask_in_image (line 120) | def paste_mask_in_image(mask, box, im_h, im_w, thresh=0.5, padding=1):
  function binmask_to_box (line 157) | def binmask_to_box(mask):
  class Masker (line 175) | class Masker(object):
    method __init__ (line 181) | def __init__(self, threshold, padding=1):
    method forward_single_image (line 185) | def forward_single_image(self, masks, boxes):
    method __call__ (line 214) | def __call__(self, masks, boxes):
  function make_roi_mask_post_processor (line 233) | def make_roi_mask_post_processor(padding=1, mask_threshold=0.5):

FILE: dmm/utils/match_helper.py
  function compute_iou_binary_mask_2D (line 9) | def compute_iou_binary_mask_2D(annotation, segmentation):
  function compute_matching_loss (line 30) | def compute_matching_loss(proposed_mask, targets, similarity_matrix, cfgs):
  function get_cosine_score (line 51) | def get_cosine_score(query_feature, key_feature, cfgs=None):

FILE: dmm/utils/metric_logger.py
  class SmoothedValue (line 8) | class SmoothedValue(object):
    method __init__ (line 13) | def __init__(self, window_size=20):
    method update (line 19) | def update(self, value):
    method mean_of_last (line 24) | def mean_of_last(self, window_size):
    method median (line 33) | def median(self):
    method avg (line 38) | def avg(self):
    method global_avg (line 43) | def global_avg(self):
  class MetricLogger (line 47) | class MetricLogger(object):
    method __init__ (line 48) | def __init__(self, delimiter="\t"):
    method fields (line 52) | def fields(self):
    method update (line 58) | def update(self, **kwargs):
    method load_field (line 64) | def load_field(self, k):
    method __getattr__ (line 68) | def __getattr__(self, attr):
    method __str__ (line 76) | def __str__(self):

FILE: dmm/utils/objectives.py
  class MaskedNLLLoss (line 6) | class MaskedNLLLoss(nn.Module):
    method __init__ (line 7) | def __init__(self, balance_weight=None):
    method forward (line 10) | def forward(self, y_true, y_pred, sw):
  class MaskedBCELoss (line 15) | class MaskedBCELoss(nn.Module):
    method __init__ (line 17) | def __init__(self,balance_weight=None):
    method forward (line 20) | def forward(self, y_true, y_pred,sw):
  class softIoULoss (line 25) | class softIoULoss(nn.Module):
    method __init__ (line 27) | def __init__(self):
    method forward (line 29) | def forward(self, y_true, y_pred, sw, need_sigmoid=1):

FILE: dmm/utils/pycococreatortools.py
  function resize_binary_mask (line 16) | def resize_binary_mask(array, new_size):
  function close_contour (line 21) | def close_contour(contour):
  function binary_mask_to_rle (line 26) | def binary_mask_to_rle(binary_mask):
  function binary_mask_to_polygon (line 36) | def binary_mask_to_polygon(binary_mask, tolerance=0):
  function create_image_info (line 63) | def create_image_info(image_id, file_name, image_size,
  function create_annotation_info (line 80) | def create_annotation_info(
  function create_youtube_json (line 125) | def create_youtube_json(data_path='../../datasets/youtubeVOS/train/'):

FILE: dmm/utils/utils.py
  function load_checkpoint (line 11) | def load_checkpoint(model_name,use_gpu=True):
  function get_image_transforms (line 28) | def get_image_transforms():
  function load_trainer_iter (line 40) | def load_trainer_iter(model_name, current_args):
  function load_checkpoint_iter (line 57) | def load_checkpoint_iter(model_name, current_args):
  function binmask_to_bbox_xyxy_pt (line 114) | def binmask_to_bbox_xyxy_pt(mask, pad=0, zero_pad=False):
  function binmask_to_bbox_xyxy (line 146) | def binmask_to_bbox_xyxy(mask, pad=0, zero_pad=False):
  function ohw_mask2boxlist (line 179) | def ohw_mask2boxlist(ohw_mask):
  function load_DMM_config (line 212) | def load_DMM_config(config_train, local_rank, default='dmm/configs/defau...
  function make_dir (line 235) | def make_dir(dir):
  function get_optimizer (line 238) | def get_optimizer(optim_name, lr, parameters, weight_decay = 0, momentum...
  function get_skip_dims (line 249) | def get_skip_dims(model_name):

FILE: eval.py
  function strip_prefix_if_present (line 25) | def strip_prefix_if_present(state_dict, prefix, replacement):
  class Evaluate (line 32) | class Evaluate():
    method __init__ (line 33) | def __init__(self,args):
    method run_eval (line 68) | def run_eval(self):

FILE: tools/davis_eval.py
  function davis_toolbox_evaluation (line 15) | def davis_toolbox_evaluation(output_dir, eval_split, skip_F=1, title=None):
  function calc_iou_individual (line 73) | def calc_iou_individual(pred_box, gt_box):
  function calculateTpFpFn (line 110) | def calculateTpFpFn(gt_bbox, predict_bbox, IOU_threshold):
  function calc_precision_recall (line 149) | def calc_precision_recall(true_pos, false_pos, false_neg):
  function evaluate_bbox (line 163) | def evaluate_bbox(prediction_boxes_list, gt_boxes_list, IOU_threshold = ...

FILE: tools/reduce_pth_size_by_videos.py
  function save_videos (line 65) | def save_videos(newf, target_dir):

FILE: tools/submission_check.py
  function check_seq_results (line 16) | def check_seq_results(seq_name, result_dir, json_data, anno_dir, strict):

FILE: train.py
  function save_checkpoint_iter (line 50) | def save_checkpoint_iter(model, args, it, enc_opt, dec_opt):
  function average_gradients (line 62) | def average_gradients(model, rank=-1):
  function init_dataloaders (line 69) | def init_dataloaders(args):
  function build_model (line 107) | def build_model(args):
  function trainIters (line 202) | def trainIters(args):