Functions — github.com/acaelles97/DeVIS

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Functions681 in github.com/acaelles97/DeVIS

⨍ Functions 681◇ Types & classes 126

↓ 1 callersFunctioncheck_forward_equal_with_pytorch_double

()

src/models/ops/test.py:30

↓ 1 callersFunctioncheck_forward_equal_with_pytorch_float

()

src/models/ops/test.py:46

↓ 1 callersFunctioncheck_gradient_numerical

(channels=4, grad_value=True, grad_sampling_loc=True, grad_attn_weight=True)

src/models/ops/test.py:61

↓ 1 callersMethodcombine_classes_class_averaged

Combines metrics across all classes by averaging over the class values. If 'ignore_empty_classes' is True, then it only sums over classes with

src/trackeval/metrics/hota.py:131

↓ 1 callersMethodcombine_sequences

Combines metrics across all sequences

src/trackeval/metrics/hota.py:119

↓ 1 callersMethodcompute_center_distance_cost

(self, track1: List, track2: List)

src/models/matcher.py:275

↓ 1 callersMethodcompute_class_cost

(self, track1: List, track2: List)

src/models/matcher.py:241

↓ 1 callersMethodcompute_frame_average_iou_cost

(self, track1, track2)

src/models/matcher.py:291

↓ 1 callersFunctioncompute_iou_matrix

Calculates the IOU (intersection over union) between two arrays of segmentation masks. If is_encoded a run length encoding with pycocotools is as

src/util/mask_ops.py:5

↓ 1 callersFunctioncompute_region

(in_size, min_size, max_size)

src/datasets/vis_transforms.py:142

↓ 1 callersFunctioncompute_resize_params

(image_size, size, max_size)

src/datasets/vis_transforms.py:99

↓ 1 callersFunctioncompute_resize_scales

(scales, image_size, max_size)

src/datasets/vis_transforms.py:117

↓ 1 callersMethodcompute_score_cost

(self, track1: List, track2: List)

src/models/matcher.py:258

↓ 1 callersMethodcompute_volumetric_iou_cost

(self, track1: List, track2: List)

src/models/matcher.py:340

↓ 1 callersMethodcondense_masks

(instance_masks)

src/datasets/image_to_seq_augmenter.py:50

↓ 1 callersMethodconvert_binary_masks

(self, output_inst_masks)

src/datasets/coco_joint_vis.py:68

↓ 1 callersFunctionconvert_coco_poly_to_bool_mask_numpy

(segmentation, height, width)

src/datasets/vis_transforms.py:18

↓ 1 callersFunctionconvert_coco_poly_to_mask

(segmentations, height, width)

src/datasets/coco.py:37

↓ 1 callersFunctioncreate_binary_masks

(num_instances, uint_mask)

src/datasets/vis_transforms.py:125

↓ 1 callersFunctioncreate_color_map

(N=256, normalized=False)

visualize_dataset.py:139

↓ 1 callersFunctioncreate_common_coco_eval

(coco_eval, img_ids, eval_imgs)

src/datasets/coco_eval.py:194

↓ 1 callersFunctioncreate_comparison_plot

Creates a scatter plot comparing multiple trackers between two metric fields, with one on the x-axis and the other on the y axis. Adds pareto opt

src/trackeval/plotting.py:53

↓ 1 callersMethoddetailed_results

Returns detailed final results for a tracker

src/trackeval/metrics/_base_metric.py:106

↓ 1 callersFunctiondice_loss

Compute the DICE loss, similar to generalized IOU for masks Args: inputs: A float tensor of arbitrary shape. The pred

src/models/deformable_segmentation.py:383

↓ 1 callersFunctiondo_sequence

(seq_file)

src/trackeval/baselines/vizualize.py:28

↓ 1 callersFunctiondo_sequence

(seq_file)

src/trackeval/baselines/non_overlap.py:29

↓ 1 callersFunctiondo_sequence

(seq_file)

src/trackeval/baselines/thresholder.py:33

↓ 1 callersFunctioneval_sequence

Function for evaluating a single sequence

src/trackeval/eval.py:188

↓ 1 callersMethodeval_sequence

Calculates the HOTA metrics for one sequence

src/trackeval/metrics/hota.py:25

↓ 1 callersFunctionevaluate

Run per image evaluation on given images and store results (a list of dict) in self.evalImgs :return: None

src/datasets/coco_eval.py:210

↓ 1 callersFunctionevaluate_vis

(results, gt_path, out_folder)

src/engine.py:265

↓ 1 callersMethodexpand_masks

(condensed_mask, num_instances)

src/datasets/image_to_seq_augmenter.py:58

↓ 1 callersMethodfill_box_non_valid_frames

(targets, num_frames)

src/datasets/vis_transforms.py:448

↓ 1 callersMethodforward

(self, features, bbox_mask, instances_per_batch, expand_func)

src/models/deformable_segmentation.py:356

↓ 1 callersMethodforward

(self, tensor_list: NestedTensor)

src/models/position_encoding.py:78

↓ 1 callersMethodforward_ffn

(self, tgt)

src/models/deformable_transformer.py:247

↓ 1 callersFunctiongeneralized_box_iou

Generalized IoU from https://giou.stanford.edu/ The boxes should be in [x0, y0, x1, y1] format Returns a [N, M] pairwise matrix, where

src/util/box_ops.py:77

↓ 1 callersFunctionget_args_parser

()

visualize_att_maps.py:26

↓ 1 callersFunctionget_coco_api_from_dataset

Return COCO class from PyTorch dataset for evaluation with COCO eval.

src/datasets/__init__.py:14

↓ 1 callersMethodget_default_config

Default class config values

src/trackeval/metrics/ideucl.py:13

↓ 1 callersMethodget_default_config

Default class config values

src/trackeval/metrics/identity.py:12

↓ 1 callersMethodget_default_config

Default class config values

src/trackeval/metrics/clear.py:12

↓ 1 callersMethodget_default_dataset_config

Default class config values

src/trackeval/datasets/kitti_2d_box.py:16

↓ 1 callersMethodget_default_dataset_config

Default class config values

src/trackeval/datasets/bdd100k.py:16

↓ 1 callersMethodget_default_dataset_config

Default class config values

src/trackeval/datasets/rob_mots.py:16

↓ 1 callersMethodget_default_dataset_config

Default class config values

src/trackeval/datasets/mot_challenge_2d_box.py:16

↓ 1 callersMethodget_default_dataset_config

Default class config values

src/trackeval/datasets/kitti_mots.py:15

↓ 1 callersMethodget_default_dataset_config

Default class config values

src/trackeval/datasets/davis.py:14

↓ 1 callersMethodget_default_dataset_config

Default class config values

src/trackeval/datasets/head_tracking_challenge.py:16

↓ 1 callersMethodget_default_dataset_config

Default class config values

src/trackeval/datasets/mots_challenge.py:16

↓ 1 callersMethodget_default_dataset_config

Default class config values

src/trackeval/datasets/youtube_vis.py:14

↓ 1 callersFunctionget_default_plots_list

()

src/trackeval/plotting.py:22

↓ 1 callersMethodget_display_name

(self, tracker)

src/trackeval/datasets/tao.py:139

↓ 1 callersMethodget_eval_info

Return info about the dataset needed for the Evaluator

src/trackeval/datasets/_base_dataset.py:62

↓ 1 callersFunctionget_extensions

()

src/models/ops/setup.py:23

↓ 1 callersMethodget_first_results

(self, t_window, attr)

src/models/tracker.py:77

↓ 1 callersMethodget_formatted_result

(self, video_id, category_policy, score_policy)

src/models/tracker.py:180

↓ 1 callersMethodget_last_results

(self, t_window, attr)

src/models/tracker.py:68

↓ 1 callersMethodget_output_fol

(self, tracker)

src/trackeval/datasets/_base_dataset.py:53

↓ 1 callersMethodget_preprocessed_seq_data

Preprocess data for a single sequence for a single class ready for evaluation. Inputs: - raw_data is a dict containing the data

src/trackeval/datasets/tao.py:257

↓ 1 callersFunctionget_rank

()

src/util/misc.py:415

↓ 1 callersMethodget_raw_seq_data

Loads raw data (tracker and ground-truth) for a single tracker on a single sequence. Raw data includes all of the information needed for both

src/trackeval/datasets/_base_dataset.py:67

↓ 1 callersMethodget_results_to_append

(self, t, attr)

src/models/tracker.py:80

↓ 1 callersFunctionget_size_with_aspect_ratio

(image_size, size, max_size=None)

src/datasets/coco_transforms.py:104

↓ 1 callersMethodget_total_num_frames

(self)

src/datasets/vis.py:160

↓ 1 callersMethodget_valid_ratio

(self, mask)

src/models/deformable_transformer.py:60

↓ 1 callersFunctionget_vis_win_names

(vis_dict)

src/util/visdom_vis.py:194

↓ 1 callersMethodget_w_h

(self, img)

src/datasets/coco_transforms.py:239

↓ 1 callersFunctionhflip

(image, target)

src/datasets/coco_transforms.py:74

↓ 1 callersFunctionimshow_det_bboxes

(img, targets, cmap, min_th=0.6, class_names=None,

visualize_dataset.py:52

↓ 1 callersMethodinit_video_track

(self, num_t, track)

src/models/tracker.py:46

↓ 1 callersMethodinit_weights

Initialize the weights in backbone. Args: pretrained (str, optional): Path to pre-trained weights. Defaults to Non

src/models/swin_backbone.py:556

↓ 1 callersFunctionload_multiple_tracker_summaries

Loads summary data for multiple trackers.

src/trackeval/plotting.py:38

↓ 1 callersFunctionmake_coco_train_transforms

(train_scale_factor)

src/datasets/coco.py:127

↓ 1 callersFunctionmake_coco_val_transforms

(val_width, max_size)

src/datasets/coco.py:156

↓ 1 callersFunctionmake_val_vis_transforms

(val_width, max_size)

src/datasets/vis.py:278

↓ 1 callersFunctionmask_iou

Calculate mask IoU between two masks. Further allows 'intersection over area' instead of IoU (over the area of mask_rle1). Allows either to p

src/trackeval/baselines/baseline_utils.py:96

↓ 1 callersMethodmedian

(self)

src/util/misc.py:55

↓ 1 callersMethodmedian_score

(self)

src/models/tracker.py:58

↓ 1 callersFunctionmerge

(img_ids, eval_imgs)

src/datasets/coco_eval.py:172

↓ 1 callersFunctionmulti_giou

(boxes1, boxes2)

src/util/box_ops.py:34

↓ 1 callersFunctionmulti_iou

(boxes1, boxes2, return_union=False)

src/util/box_ops.py:21

↓ 1 callersFunctionpad

(image, target, padding)

src/datasets/coco_transforms.py:165

↓ 1 callersMethodparse_att_maps_to_tracks

(self, tracks, topk_idxs, merge_resolution, spatial_shapes, init_ref_point, i

visualize_att_maps.py:91

↓ 1 callersFunctionparse_targets_per_frame

(num_annots, num_frames, targets)

visualize_dataset.py:160

↓ 1 callersMethodparse_video_into_clips

(self, transforms, images_folder)

src/datasets/vis.py:163

↓ 1 callersMethodplot_single_tracker_results

Create plot of results

src/trackeval/metrics/hota.py:181

↓ 1 callersMethodprepare_for_coco_detection

(self, predictions)

src/datasets/coco_eval.py:81

↓ 1 callersMethodprepare_for_coco_keypoint

(self, predictions)

src/datasets/coco_eval.py:140

↓ 1 callersMethodprepare_for_coco_segmentation

(self, predictions)

src/datasets/coco_eval.py:105

↓ 1 callersFunctionprocess_bbx

(boxes, tgt_size)

visualize_dataset.py:38

↓ 1 callersFunctionprocess_boxes

(boxes, target_sizes)

src/models/deformable_detr.py:218

↓ 1 callersMethodprocess_boxes

(self, boxes, tgt_size)

src/models/devis_segmentation.py:119

↓ 1 callersMethodprocess_masks

(self, start_idx, idx, tgt_size, masks)

visualize_att_maps.py:80

↓ 1 callersMethodprocess_masks

(self, start_idx, idx, tgt_size, masks)

src/models/tracker.py:239

↓ 1 callersMethodremove_empty_instances

(self, out_targets, num_frames)

src/datasets/vis_transforms.py:501

↓ 1 callersMethodremove_transform

(self, transform_to_remove)

src/datasets/vis_transforms.py:435

↓ 1 callersFunctionresize

(image, target, size, max_size=None)

src/datasets/coco_transforms.py:132

↓ 1 callersFunctionresize_clip

(clip, target, size, max_size=None)

src/datasets/vis_transforms.py:169

↓ 1 callersFunctionrun_demo

(args, cfg)

visualize_att_maps.py:253

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