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

⨍ Functions 1,452◇ Types & classes 215↳ Endpoints 16
↓ 1 callersFunctionadjust_box_anns
(bbox, scale_ratio, padw, padh, w_max, h_max)
unicorn/utils/boxes.py:193
↓ 1 callersMethodafter_epoch
(self)
unicorn/core/trainer.py:397
↓ 1 callersMethodafter_train
(self)
unicorn/core/trainer.py:370
↓ 1 callersFunctionaggregate_accs
Aggregate results from each class.
external/qdtrack/qdtrack/core/evaluation/mot.py:82
↓ 1 callersFunctionaligned_bilinear
(tensor, factor)
unicorn/utils/boxes.py:212
↓ 1 callersFunctionall_gather
Run all_gather on arbitrary picklable data (not necessarily tensors). Args: data: any picklable object group: a torch proces
unicorn/utils/dist.py:186
↓ 1 callersFunctionall_reduce
Apply all reduce function for python dict object. NOTE: make sure that every py_dict has the same keys and values are in the same shape.
unicorn/utils/allreduce_norm.py:59
↓ 1 callersFunctionall_reduce_norm
All reduce norm statistics in different devices.
unicorn/utils/allreduce_norm.py:97
↓ 1 callersMethodalter_task
(self)
unicorn/data/datasets/omni_data.py:58
↓ 1 callersFunctionaverage_dict
(dict_list)
unicorn/models/unicorn.py:543
↓ 1 callersFunctionbbox_distances
Calculate the IoU distances of two sets of boxes.
external/qdtrack/qdtrack/core/evaluation/mot.py:31
↓ 1 callersMethodbefore_epoch
(self)
unicorn/core/trainer.py:377
↓ 1 callersMethodbefore_train
(self)
unicorn/core/trainer.py:292
↓ 1 callersFunctionbox_cxcywh_to_xyxy
(x)
unicorn/models/unicorn.py:536
↓ 1 callersFunctionbuild_swint
(model_name)
unicorn/models/backbone/swin_transformer.py:641
↓ 1 callersFunctioncalc_iou_overlap
(pred_bb, anno_bb)
external/lib/test/analysis/extract_results.py:28
↓ 1 callersFunctioncalc_seq_err_robust
(pred_bb, anno_bb, dataset, target_visible=None)
external/lib/test/analysis/extract_results.py:40
↓ 1 callersFunctioncheck_eval_data_is_valid
Checks if the pre-computed results are valid
external/lib/test/analysis/plot_results.py:34
↓ 1 callersFunctioncheck_forward_equal_with_pytorch_double
()
unicorn/models/ops/test.py:32
↓ 1 callersFunctioncheck_forward_equal_with_pytorch_float
()
unicorn/models/ops/test.py:48
↓ 1 callersFunctioncheck_gradient_numerical
(channels=4, grad_value=True, grad_sampling_loc=True, grad_attn_weight=True)
unicorn/models/ops/test.py:63
↓ 1 callersMethodclean_seq_list
(self)
external/lib/test/evaluation/lasotdataset.py:24
↓ 1 callersMethodclear
(self)
external/lib/train/admin/stats.py:10
↓ 1 callersMethodclear
(self)
external/lib/train/admin/stats.py:31
↓ 1 callersMethodclear_meters
(self)
unicorn/utils/metric.py:121
↓ 1 callersMethodclose_mosaic
(self)
unicorn/data/dataloading.py:96
↓ 1 callersFunctioncollect_results_cpu
(result_part, size, tmpdir=None)
external/qdtrack/qdtrack/apis/test.py:84
↓ 1 callersFunctioncollect_results_cpu
(result_part, size, tmpdir=None)
external/qdtrack/qdtrack/apis/test_omni.py:199
↓ 1 callersFunctioncolor_map
(N=256, normalized=False)
external/davis2017-evaluation/davis2017/utils.py:106
↓ 1 callersFunctioncompare_dataframes
(gts, ts)
tools/track.py:113
↓ 1 callersFunctioncompare_dataframes
(gts, ts)
tools/track_omni.py:116
↓ 1 callersFunctioncompute_locations
(h, w, stride, device)
unicorn/models/condinst/comm.py:30
↓ 1 callersMethodcompute_loss_mot_corr
(self, embed_0, embed_1, targets, bs, s, H_d, W_d)
unicorn/models/unicorn.py:407
↓ 1 callersMethodcompute_loss_vos
(self, embed_0, embed_1, fpn_outs_1, targets, images, masks, s=8, return_trans_mat=False)
unicorn/models/unicorn.py:339
↓ 1 callersFunctioncompute_pairwise_term
(mask_logits, pairwise_size, pairwise_dilation)
unicorn/models/condinst/dynamic_mask_head.py:19
↓ 1 callersFunctioncompute_project_term
(mask_scores, gt_bitmasks)
unicorn/models/condinst/dynamic_mask_head.py:7
↓ 1 callersFunctionconfigure_module
Configure pytorch module environment. setting of ulimit and cv2 will be set. Args: ulimit_value(int): default open file number on li
unicorn/utils/setup_env.py:51
↓ 1 callersFunctionconv_with_kaiming_uniform
( norm=None, activation=None, use_deformable=False, use_sep=False)
unicorn/models/condinst/conv_with_kaiming_uniform.py:6
↓ 1 callersFunctionconvert_tao
(file, classes)
external/qdtrack/tools/convert_datasets/tao2coco.py:51
↓ 1 callersMethodconvert_to_bdd_format
(self, outputs, info_imgs, ids)
unicorn/evaluators/bdd_evaluator.py:134
↓ 1 callersMethodconvert_to_coco_format
(self, outputs, outputs_mask, info_imgs, ids)
unicorn/evaluators/coco_inst_evaluator.py:159
↓ 1 callersMethodconvert_to_coco_format
(self, outputs, info_imgs, ids)
unicorn/evaluators/coco_evaluator.py:128
↓ 1 callersFunctionconvert_to_onehot
convert to one-hot
external/lib/utils/merge.py:17
↓ 1 callersFunctionconvert_to_onehot
convert to one-hot
unicorn/utils/merge.py:17
↓ 1 callersMethodconvert_to_voc_format
(self, outputs, info_imgs, ids)
unicorn/evaluators/voc_evaluator.py:132
↓ 1 callersFunctionconvnext_base
(**kwargs)
unicorn/models/backbone/convnext.py:203
↓ 1 callersFunctionconvnext_large
(**kwargs)
unicorn/models/backbone/convnext.py:208
↓ 1 callersFunctionconvnext_tiny
(**kwargs)
unicorn/models/backbone/convnext.py:198
↓ 1 callersMethoddebug_data
(self)
unicorn/core/trainer.py:97
↓ 1 callersFunctiondecode_img
(lmdb_fname, key_name)
external/lib/utils/lmdb_utils.py:23
↓ 1 callersMethoddecode_outputs
(self, outputs, dtype)
unicorn/models/yolo_head_det_mask.py:388
↓ 1 callersMethoddecode_outputs
(self, outputs, dtype)
unicorn/models/unicorn_head_mask.py:502
↓ 1 callersMethoddecode_outputs
(self, outputs, dtype)
unicorn/models/yolo_head_det.py:314
↓ 1 callersFunctiondice_coefficient
(pred_lbs, gt_lbs)
unicorn/models/unicorn.py:512
↓ 1 callersFunctiondownload
(url)
external/qdtrack/download_bdd100k.py:4
↓ 1 callersFunctiondti
(txt_path, save_path, n_min=25, n_dti=20)
tools/interpolation.py:66
↓ 1 callersMethoddynamic_k_matching
(self, cost, pair_wise_ious, gt_classes, num_gt, fg_mask)
unicorn/models/yolo_head_det_mask.py:808
↓ 1 callersMethoddynamic_k_matching
(self, cost, pair_wise_ious, gt_classes, num_gt, fg_mask)
unicorn/models/unicorn_head_mask.py:950
↓ 1 callersMethoddynamic_k_matching
(self, cost, pair_wise_ious, gt_classes, num_gt, fg_mask)
unicorn/models/yolo_head_det.py:686
↓ 1 callersMethoddynamic_k_matching
(self, cost, pair_wise_ious, gt_classes, num_gt, fg_mask)
unicorn/models/unicorn_head.py:886
↓ 1 callersMethodenable_all_frames
For YouTubeVOS: Update the frame names with (jpeg) files from the <split>_all_frames set :param dset_images_path: /path/to/train_all_frames/
external/lib/train/dataset/vos_base.py:154
↓ 1 callersFunctionencode_track_results
Encode bitmap mask to RLE code. Args: track_results (list | tuple[list]): track results. In mask scoring rcnn, mask_results i
external/qdtrack/qdtrack/apis/test_omni.py:24
↓ 1 callersMethodeval_frame
(self, frame_id, trk_tlwhs, trk_ids, rtn_events=False)
unicorn/evaluators/evaluation.py:28
↓ 1 callersFunctioneval_method_from_data
根据给定方法的预测结果来评估在davis 2016上的性能 :param method_pre_path: 模型预测结果，该路径下包含各个视频预测的结果，与Annotations文件夹布局一致 :param mask_data_root: davis 2016的Annota
external/PyDavis16EvalToolbox/eval.py:269
↓ 1 callersFunctioneval_mot
Evaluation CLEAR MOT metrics. Args: results (list[list[list[ndarray]]]): The first list indicates videos, The second list ind
external/qdtrack/qdtrack/core/evaluation/mot.py:124
↓ 1 callersFunctioneval_mot_pcan
(anns, all_results, split_camera=False, class_average=False)
external/qdtrack/qdtrack/core/evaluation/mot_pcan.py:188
↓ 1 callersFunctioneval_mots
(api, anns, all_results, split_camera=False, class_average=False)
external/qdtrack/qdtrack/core/evaluation/mots.py:23
↓ 1 callersMethodevaluate
(self, results, metric=['bbox', 'track'], logger=None,
external/qdtrack/qdtrack/datasets/coco_video_dataset.py:242
↓ 1 callersMethodevaluate
COCO average precision (AP) Evaluation. Iterate inference on the test dataset and the results are evaluated by COCO API. NOT
unicorn/evaluators/coco_inst_evaluator.py:68
↓ 1 callersMethodevaluate
COCO average precision (AP) Evaluation. Iterate inference on the test dataset and the results are evaluated by COCO API. NOT
unicorn/evaluators/coco_evaluator.py:52
↓ 1 callersMethodevaluate_and_save_model
(self)
unicorn/core/trainer.py:503
↓ 1 callersMethodevaluate_detections
all_boxes is a list of length number-of-classes. Each list element is a list of length number-of-images. Each of those list e
unicorn/data/datasets/voc.py:256
↓ 1 callersMethodevaluate_mots
(self, results, metric=['bbox', 'track'], logger=None,
external/qdtrack/qdtrack/datasets/coco_video_dataset.py:316
↓ 1 callersMethodevaluate_omni
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:924
↓ 1 callersMethodevaluate_omni_mots
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:702
↓ 1 callersMethodevaluate_prediction
(self, data_dict, statistics)
unicorn/evaluators/coco_inst_evaluator.py:214
↓ 1 callersMethodevaluate_prediction
(self, data_dict, statistics)
unicorn/evaluators/voc_evaluator.py:156
↓ 1 callersMethodevaluate_prediction
(self, data_dict, statistics)
unicorn/evaluators/coco_evaluator.py:160
↓ 1 callersMethodformat_results
(self, results, resfile_path=None, metric
external/qdtrack/qdtrack/datasets/mot17_dataset.py:131
↓ 1 callersMethodforward
(self, x)
unicorn/models/condinst/conv_with_kaiming_uniform.py:75
↓ 1 callersMethodforward_conv_interact
(self, feat_dict1, feat_dict2)
unicorn/models/unicorn.py:300
↓ 1 callersMethodforward_deform_interact
(self, feat_dict1, feat_dict2)
unicorn/models/unicorn.py:260
↓ 1 callersMethodforward_features
(self, x)
unicorn/models/backbone/convnext.py:141
↓ 1 callersMethodforward_ffn
(self, src)
unicorn/models/deformable_transformer.py:116
↓ 1 callersMethodforward_full_attention
full attention
unicorn/models/unicorn.py:278
↓ 1 callersMethodforward_post
(self, src, src_mask: Optional[Tensor] = None,
unicorn/models/transformer_encoder.py:73
↓ 1 callersMethodforward_pre
(self, src, src_mask: Optional[Tensor] = None, src_key_padding_mask: O
unicorn/models/transformer_encoder.py:88
↓ 1 callersMethodforward_upsample
(self, x)
unicorn/models/unicorn.py:311
↓ 1 callersFunctionfuse_conv_and_bn
(conv, bn)
unicorn/utils/model_utils.py:31
↓ 1 callersFunctiongeneralized_box_iou
Generalized IoU from https://giou.stanford.edu/ The boxes should be in [x0, y0, x1, y1] format boxes1: (N, 4) boxes2: (N, 4)
external/lib/utils/box_ops.py:61
↓ 1 callersFunctionget_activation
(name="silu", inplace=True)
unicorn/models/backbone/network_blocks.py:17
↓ 1 callersMethodget_actor
(self, model)
unicorn/exp/unicorn_track.py:195
↓ 1 callersMethodget_ann_ids
(self, img_ids=[], cat_ids=[], area_rng=[], iscrowd=None)
external/qdtrack/qdtrack/datasets/parsers/coco_api.py:26
↓ 1 callersMethodget_aspect_ratio
Sequence aspect ratio
external/lib/train/dataset/vos_base.py:179
↓ 1 callersFunctionget_async_norm_states
(module)
unicorn/utils/allreduce_norm.py:32
↓ 1 callersFunctionget_caller_name
Args: depth (int): Depth of caller conext, use 0 for caller depth. Default value: 0. Returns: str: module name of the caller
unicorn/utils/logger.py:11
↓ 1 callersFunctionget_config_new
Get a yacs CfgNode object with default values.
unicorn/models/backbone/swin_config.py:239
↓ 1 callersMethodget_data_loader
( self, batch_size: int, is_distributed: bool )
unicorn/exp/base_exp.py:31
↓ 1 callersMethodget_det_results
forward the network
external/lib/test/tracker/unicorn_sot.py:78
↓ 1 callersMethodget_det_results
forward the network
external/lib/test/tracker/unicorn_vos.py:157
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