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Functions1,452 in github.com/MasterBin-IIAU/Unicorn

⨍ Functions 1,452◇ Types & classes 215↳ Endpoints 16
↓ 3 callersFunction_run
(command)
external/lib/utils/misc.py:251
↓ 3 callersMethod_track_forward
Track head forward function used in both training and testing.
external/qdtrack/qdtrack/models/roi_heads/quasi_dense_roi_head.py:129
↓ 3 callersFunctionbox_iou
:param boxes1: (N, 4) (x1,y1,x2,y2) :param boxes2: (N, 4) (x1,y1,x2,y2) :return:
external/lib/utils/box_ops.py:36
↓ 3 callersFunctionbuild_model
Build model.
external/qdtrack/qdtrack/models/builder.py:13
↓ 3 callersFunctioncheck_and_load_precomputed_results
(trackers, dataset, report_name, force_evaluation=False, **kwargs)
external/lib/test/analysis/plot_results.py:170
↓ 3 callersFunctionconfigure_nccl
Configure multi-machine environment variables of NCCL.
unicorn/utils/setup_env.py:16
↓ 3 callersFunctionconv1x1
1x1 convolution
unicorn/models/backbone/resnet.py:33
↓ 3 callersFunctionconv3x3
3x3 convolution with padding
unicorn/models/backbone/resnet.py:27
↓ 3 callersFunctiondb_eval_iou
Compute region similarity as the Jaccard Index. Arguments: annotation (ndarray): binary annotation map. segmentation (ndarray
external/davis2017-evaluation/davis2017/metrics.py:6
↓ 3 callersFunctiondice_coefficient
(x, target)
unicorn/models/condinst/dynamic_mask_head.py:50
↓ 3 callersMethodempty
(self)
external/qdtrack/qdtrack/models/trackers/tao_tracker.py:64
↓ 3 callersMethodevaluate
(self, res_path, metric=('J', 'F'), debug=False)
external/davis2017-evaluation/davis2017/evaluation.py:66
↓ 3 callersMethodgenerate
Count the annotation mask pixels per object, per frame, in all sequences in a dataset :param dset_name: Dataset name, for prin
external/lib/train/dataset/vos_base.py:34
↓ 3 callersMethodget_ann_info
Get COCO annotation by index. Args: idx (int): Index of data. Returns: dict: Annotation info of specified in
external/qdtrack/qdtrack/datasets/coco_video_dataset.py:99
↓ 3 callersMethodget_cat_ids
(self, cat_names=[], sup_names=[], cat_ids=[])
external/qdtrack/qdtrack/datasets/parsers/coco_api.py:29
↓ 3 callersMethodget_img_ids_from_vid
(self, vidId)
external/qdtrack/qdtrack/datasets/parsers/coco_video_parser.py:61
↓ 3 callersMethodget_name
(self)
external/lib/train/dataset/vos_base.py:379
↓ 3 callersFunctionget_rank
()
unicorn/utils/dist.py:90
↓ 3 callersMethodget_sequence_info
Get sample meta data. :param sample_id: Sample to query. :return: dict of metadata: sequence: Sequence name
external/lib/train/dataset/vos_base.py:251
↓ 3 callersMethodget_sequence_info
(self, seq_id)
unicorn/data/datasets/got10k.py:152
↓ 3 callersMethodget_sequence_info
(self, seq_id)
unicorn/data/datasets/lasot.py:116
↓ 3 callersFunctionget_tracker_display_name
(tracker)
external/lib/test/analysis/plot_results.py:89
↓ 3 callersFunctionimread_indexed
Load indexed image with given filename. Used to read segmentation annotations.
external/lib/train/data/image_loader.py:83
↓ 3 callersFunctionis_dist_avail_and_initialized
()
external/lib/utils/misc.py:377
↓ 3 callersFunctionjoint_stracks
(tlista, tlistb)
unicorn/tracker/byte_tracker.py:299
↓ 3 callersMethodload_imgs
(self, ids)
external/qdtrack/qdtrack/datasets/parsers/coco_api.py:41
↓ 3 callersMethodload_resized_img
(self, index)
unicorn/data/datasets/coco_mots.py:196
↓ 3 callersMethodload_resized_img
(self, index)
unicorn/data/datasets/coco_sot.py:162
↓ 3 callersMethodload_resized_img
(self, file_name, res)
unicorn/data/datasets/mot_omni.py:120
↓ 3 callersMethodmatch
(self, bboxes, labels, track_feats, frame_id,
external/qdtrack/qdtrack/models/trackers/tao_tracker.py:126
↓ 3 callersFunctionmerge_multiple_runs
(eval_data)
external/lib/test/analysis/plot_results.py:45
↓ 3 callersMethodobject_frames
(self, seq_name, obj_id)
external/lib/train/dataset/youtubevos.py:53
↓ 3 callersMethodobject_init_data
(self, frame_num=None)
external/lib/test/evaluation/data.py:114
↓ 3 callersFunctionread_results
(filename, data_type: str, is_gt=False, is_ignore=False)
unicorn/evaluators/evaluation.py:117
↓ 3 callersFunctionrestore_result
(result, return_ids=False)
external/qdtrack/qdtrack/core/track/transforms.py:24
↓ 3 callersFunctionsingle_gpu_test
(model, data_loader, show=False, out_dir=None,
external/qdtrack/qdtrack/apis/test.py:13
↓ 3 callersFunctiontest_unsupervsied_multiple_proposals
(num_proposals=20, metric=('J', 'F'))
external/davis2017-evaluation/pytest/test_evaluation.py:109
↓ 3 callersFunctiontrack2result
(bboxes, labels, ids, num_classes)
external/qdtrack/qdtrack/core/track/transforms.py:5
↓ 3 callersFunctionunzip_objs
(objs)
unicorn/evaluators/evaluation.py:193
↓ 3 callersFunctionxyxy2xywh
(bboxes)
unicorn/utils/boxes.py:199
↓ 2 callersMethod__init__
(self, input_dimension, mosaic=True)
unicorn/data/datasets/datasets_wrapper.py:70
↓ 2 callersMethod__init__
(self, d_model=512, nhead=8, num_encoder_layers=6, dim_feedforward=2048, dropout=0.1, activat
unicorn/models/transformer_encoder.py:113
↓ 2 callersMethod__init__
(self, dim, drop_path=0., layer_scale_init_value=1e-6)
unicorn/models/backbone/convnext.py:30
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
unicorn/models/backbone/resnet.py:129
↓ 2 callersFunction_check_use_shared_memory
()
external/lib/train/data/loader.py:13
↓ 2 callersFunction_eval_summary
(track_acc, eval_name)
external/qdtrack/qdtrack/core/evaluation/mots.py:93
↓ 2 callersMethod_freeze_stages
(self)
unicorn/models/backbone/swin_transformer.py:556
↓ 2 callersMethod_get_all_elements
(self, sequence, obj_type)
external/davis2017-evaluation/davis2017/davis.py:71
↓ 2 callersMethod_get_class
(self, seq_path)
unicorn/data/datasets/lasot.py:145
↓ 2 callersMethod_get_frame
(self, seq_path, frame_id)
unicorn/data/datasets/tracking_net.py:128
↓ 2 callersMethod_get_sequence_path
(self, seq_id)
unicorn/data/datasets/tracking_net.py:132
↓ 2 callersMethod_get_voc_results_file_template
(self)
unicorn/data/datasets/voc.py:280
↓ 2 callersFunction_pad_to_largest_tensor
Returns: list[int]: size of the tensor, on each rank Tensor: padded tensor that has the max size
unicorn/utils/dist.py:156
↓ 2 callersMethod_pre_pipeline
(self, _results)
external/qdtrack/qdtrack/datasets/coco_video_dataset.py:85
↓ 2 callersMethod_read_bb_anno
(self, seq_path)
unicorn/data/datasets/tracking_net.py:99
↓ 2 callersMethod_read_image
(self, image_file: str)
external/lib/test/evaluation/tracker.py:340
↓ 2 callersMethod_read_mask
(self, sequence, frame_id)
external/davis2017-evaluation/davis2017/results.py:11
↓ 2 callersFunction_seg2bmap
From a segmentation, compute a binary boundary map with 1 pixel wide boundaries. The boundary pixels are offset by 1/2 pixel towards the
external/davis2017-evaluation/davis2017/metrics.py:122
↓ 2 callersFunction_serialize_to_tensor
(data, group)
unicorn/utils/dist.py:139
↓ 2 callersMethod_transpose_nested_dict
Permute a 2-level nested dict such that the inner and outer keys swap places.
external/lib/train/dataset/vos_base.py:122
↓ 2 callersFunction_update_config_from_file
(config, cfg_file)
unicorn/models/backbone/swin_config.py:172
↓ 2 callersMethodafter_iter
`after_iter` contains two parts of logic: * log information * reset setting of resize
unicorn/core/trainer.py:411
↓ 2 callersFunctionaligned_bilinear
(tensor, factor)
unicorn/models/condinst/comm.py:5
↓ 2 callersMethodbefore_iter
(self)
unicorn/core/trainer.py:408
↓ 2 callersFunctionbox_candidates
(box1, box2, wh_thr=2, ar_thr=20, area_thr=0.2)
unicorn/data/data_augment.py:37
↓ 2 callersFunctionbuild_conv_interact
()
unicorn/models/deformable_transformer.py:206
↓ 2 callersFunctionbuild_deforamble_transformer
(hidden_dim=256, nheads=8, enc_layers=1, dim_feedforward=1024, dropout=0.1, num_feature_levels=2, enc_n_p
unicorn/models/deformable_transformer.py:179
↓ 2 callersFunctionbuild_dynamic_mask_head
(cfg, use_raft=False, up_rate=8)
unicorn/models/condinst/dynamic_mask_head.py:90
↓ 2 callersFunctionbuild_mask_branch
(cfg, in_channels=(192, 384, 768), sem_loss_on=True, use_raft=False, up_rate=8)
unicorn/models/condinst/mask_branch.py:13
↓ 2 callersFunctionbuild_tracker
Build tracker.
external/qdtrack/qdtrack/models/builder.py:8
↓ 2 callersFunctionbuild_transformer_encoder
(d_model=256, dropout=0.1, nhead=8, dim_feedforward=2048, num_encoder_layers=1, normalize_before=False)
unicorn/models/transformer_encoder.py:151
↓ 2 callersFunctioncalc_err_center
(pred_bb, anno_bb, normalized=False)
external/lib/test/analysis/extract_results.py:16
↓ 2 callersFunctioncheck_results_similarity
(target, result)
external/davis2017-evaluation/pytest/test_evaluation.py:39
↓ 2 callersFunctioncollect_env
()
external/qdtrack/qdtrack/utils/collect_env.py:14
↓ 2 callersFunctioncompute_corr_losses
(pred_lbs, gt_lbs)
unicorn/models/unicorn.py:509
↓ 2 callersMethodcompute_loss_mot
(self, embed_0, embed_1, fpn_outs_1, targets, images, s=8, masks=None)
unicorn/models/unicorn.py:392
↓ 2 callersMethodcompute_loss_sot
(self, embed_0, embed_1, fpn_outs_1, targets, images, s=8, propagate=True)
unicorn/models/unicorn.py:315
↓ 2 callersFunctionconfigure_omp
If OMP_NUM_THREADS is not configured and world_size is greater than 1, Configure OMP_NUM_THREADS environment variables of NCCL to `num_thread
unicorn/utils/setup_env.py:28
↓ 2 callersFunctionconvert_bn_model_to_gn
Recursively traverse module and its children to replace all instances of ``torch.nn.modules.batchnorm._BatchNorm`` with :class:`torch.nn.Grou
unicorn/exp/unicorn_track.py:450
↓ 2 callersFunctionconvert_data_dict_to_table
(data_dict: dict, video_name_list: list)
external/PyDavis16EvalToolbox/eval.py:245
↓ 2 callersMethodcreate_tracker
(self, params)
external/lib/test/evaluation/tracker.py:66
↓ 2 callersMethoddecode_outputs
(self, outputs, dtype)
unicorn/models/unicorn_head.py:467
↓ 2 callersFunctiondecode_str
(lmdb_fname, key_name)
external/lib/utils/lmdb_utils.py:33
↓ 2 callersMethodeval_file
(self, filename)
unicorn/evaluators/evaluation.py:76
↓ 2 callersFunctioneval_mota
(data_root, txt_path)
tools/interpolation.py:14
↓ 2 callersMethodevaluate
COCO average precision (AP) Evaluation. Iterate inference on the test dataset and the results are evaluated by COCO API. NOT
unicorn/evaluators/mot_evaluator.py:100
↓ 2 callersFunctionextract_results
(trackers, dataset, report_name, skip_missing_seq=False, plot_bin_gap=0.05, exclude_invali
external/lib/test/analysis/extract_results.py:102
↓ 2 callersFunctionf_measure
Compute mean,recall and decay from per-frame evaluation. Calculates precision/recall for boundaries between foreground_mask and gt_mask u
external/davis2017-evaluation/davis2017/metrics.py:57
↓ 2 callersMethodforward_backbone
The input type is standard tensor - img: batched images, of shape [batch_size x 3 x H x W] - mask: a binary mask of shap
unicorn/models/unicorn.py:231
↓ 2 callersMethodframe_info
(self, frame_num)
external/lib/test/evaluation/data.py:96
↓ 2 callersMethodgating_distance
Compute gating distance between state distribution and measurements. A suitable distance threshold can be obtained from `chi2inv95`. If
unicorn/tracker/kalman_filter.py:228
↓ 2 callersFunctiongenerate_formatted_report
(row_labels, scores, table_name='')
external/lib/test/analysis/plot_results.py:291
↓ 2 callersMethodget_assignments
( self, batch_idx, num_gt, total_num_anchors, gt_bboxes_per_image,
unicorn/models/yolo_head_det_mask.py:626
↓ 2 callersMethodget_assignments
( self, batch_idx, num_gt, total_num_anchors, gt_bboxes_per_image,
unicorn/models/unicorn_head_mask.py:755
↓ 2 callersMethodget_assignments
( self, batch_idx, num_gt, total_num_anchors, gt_bboxes_per_image,
unicorn/models/yolo_head_det.py:504
↓ 2 callersMethodget_assignments
( self, batch_idx, num_gt, total_num_anchors, gt_bboxes_per_image,
unicorn/models/unicorn_head.py:691
↓ 2 callersFunctionget_auc_curve
(ave_success_rate_plot_overlap, valid_sequence)
external/lib/test/analysis/plot_results.py:199
↓ 2 callersMethodget_bboxes_per_frame
Object bounding boxes, grouped by frame names
external/lib/train/dataset/vos_base.py:188
↓ 2 callersFunctionget_cfg
Get a copy of the default config. Returns: a detectron2 CfgNode instance.
unicorn/models/condinst/config/config.py:4
↓ 2 callersFunctionget_classes
(tao_path, filter_classes=True)
external/qdtrack/tools/convert_datasets/tao2coco.py:21
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