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Functions1,124 in github.com/FoundationVision/ByteTrack

⨍ Functions 1,124◇ Types & classes 177↳ Endpoints 3
↓ 1 callersFunctiongpu_mem_usage
Compute the GPU memory usage for the current device (MB).
yolox/utils/metric.py:43
↓ 1 callersFunctionim_preprocess
(image)
yolox/motdt_tracker/reid_model.py:245
↓ 1 callersFunctionimage_demo
(predictor, vis_folder, current_time, args)
tools/demo_track.py:178
↓ 1 callersFunctionimageflow_demo
(predictor, vis_folder, current_time, args)
tools/demo_track.py:236
↓ 1 callersFunctionimageflow_demo
(predictor, args)
deploy/ONNXRuntime/onnx_inference.py:109
↓ 1 callersMethodincrement_ages
(self)
yolox/deepsort_tracker/deepsort.py:43
↓ 1 callersMethodinference
(self, ori_img, timer)
deploy/ONNXRuntime/onnx_inference.py:82
↓ 1 callersMethodinference_single_image
(self, img, ori_img_size, track_instances=None)
tutorials/motr/motr.py:573
↓ 1 callersMethodinit_img
(self, img)
tutorials/motr/eval.py:325
↓ 1 callersMethodinit_track
(self, results)
tutorials/transtrack/tracker.py:29
↓ 1 callersMethodinit_tracker
(self)
tutorials/qdtrack/qdtrack.py:38
↓ 1 callersMethodinitialize_for_single_clip
(self, gt_instances: List[Instances])
tutorials/motr/motr.py:60
↓ 1 callersMethodinitialize_for_single_clip
(self, gt_instances: List[Instances])
tutorials/motr/motr_det.py:60
↓ 1 callersMethodinitiate
Create track from unassociated measurement. Parameters ---------- measurement : ndarray Bounding box coordinates (
yolox/deepsort_tracker/kalman_filter.py:50
↓ 1 callersMethodinitiate
Create track from unassociated measurement. Parameters ---------- measurement : ndarray Bounding box coordinates
yolox/motdt_tracker/kalman_filter.py:55
↓ 1 callersMethodinitiate
Create track from unassociated measurement. Parameters ---------- measurement : ndarray Bounding box coordinates
yolox/tracker/kalman_filter.py:55
↓ 1 callersMethodinitiate
Create track from unassociated measurement. Parameters ---------- measurement : ndarray Bounding box coordinates
tutorials/centertrack/mot_online/kalman_filter.py:54
↓ 1 callersMethodinitiate
Create track from unassociated measurement. Parameters ---------- measurement : ndarray Bounding box coordinates (
tutorials/trades/mot_online/kalman_filter.py:49
↓ 1 callersMethodinitiate
Create track from unassociated measurement. Parameters ---------- measurement : ndarray Bounding box coordinates
tutorials/transtrack/mot_online/kalman_filter.py:55
↓ 1 callersFunctioniou
Computer intersection over union. Parameters ---------- bbox : ndarray A bounding box in format `(top left x, top left y, width, h
yolox/deepsort_tracker/iou_matching.py:7
↓ 1 callersFunctioniou_batch
From SORT: Computes IOU between two bboxes in the form [x1,y1,x2,y2]
yolox/sort_tracker/sort.py:36
↓ 1 callersFunctioniou_distance
Compute cost based on IoU :type atracks: list[STrack] :type btracks: list[STrack] :rtype cost_matrix np.ndarray
yolox/tracker/matching.py:73
↓ 1 callersFunctionious
Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray
yolox/motdt_tracker/matching.py:35
↓ 1 callersFunctionious
Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray
tutorials/centertrack/mot_online/matching.py:64
↓ 1 callersFunctionious
Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray
tutorials/trades/mot_online/matching.py:64
↓ 1 callersFunctionious
Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray
tutorials/qdtrack/mot_online/matching.py:64
↓ 1 callersFunctionious
Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray
tutorials/transtrack/mot_online/matching.py:53
↓ 1 callersFunctionious
Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray
tutorials/ctracker/mot_online/matching.py:64
↓ 1 callersFunctionious
Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray
tutorials/motr/mot_online/matching.py:64
↓ 1 callersMethodis_deleted
Returns True if this track is dead and should be deleted.
yolox/deepsort_tracker/track.py:156
↓ 1 callersFunctionlaunch_by_subprocess
( raw_argv, world_size, num_machines, machine_rank, num_gpus_per_machine, dist_url,
yolox/core/launch.py:93
↓ 1 callersFunctionlinear_assignment
(cost_matrix, thresh)
yolox/tracker/matching.py:39
↓ 1 callersFunctionlinear_assignment
(cost_matrix)
yolox/sort_tracker/sort.py:25
↓ 1 callersFunctionlinear_assignment
(cost_matrix, thresh)
tutorials/centertrack/mot_online/matching.py:50
↓ 1 callersFunctionlinear_assignment
(cost_matrix, thresh)
tutorials/trades/mot_online/matching.py:50
↓ 1 callersMethodload_anno
(self, index)
yolox/data/datasets/mot.py:90
↓ 1 callersMethodload_anno_from_ids
(self, id_)
yolox/data/datasets/mot.py:55
↓ 1 callersMethodload_annotations
(self)
yolox/tracking_utils/evaluation.py:20
↓ 1 callersMethodload_annotations
(self)
yolox/evaluators/evaluation.py:18
↓ 1 callersMethodload_annotations
(self)
tutorials/jde/evaluation.py:19
↓ 1 callersMethodload_annotations
(self)
tutorials/motr/evaluation.py:123
↓ 1 callersFunctionload_ckpt
(model, ckpt)
yolox/utils/checkpoint.py:12
↓ 1 callersFunctionload_func
(fpath)
tools/convert_crowdhuman_to_coco.py:11
↓ 1 callersMethodload_img_from_file
(self,f_path)
tutorials/motr/eval.py:318
↓ 1 callersFunctionload_label
(label_path: str, img_size: tuple)
tutorials/motr/eval.py:194
↓ 1 callersFunctionload_net
(fname, net, prefix='', load_state_dict=False)
yolox/motdt_tracker/reid_model.py:34
↓ 1 callersFunctionload_paths
(data_path)
tools/convert_ethz_to_coco.py:10
↓ 1 callersFunctionload_paths
(data_path)
tools/convert_cityperson_to_coco.py:10
↓ 1 callersFunctionload_reid_model
(ckpt)
yolox/motdt_tracker/reid_model.py:234
↓ 1 callersFunctionmain
()
tools/export_onnx.py:50
↓ 1 callersFunctionmain
(exp, args)
tools/demo_track.py:301
↓ 1 callersFunctionmain
()
tools/trt.py:31
↓ 1 callersFunctionmain
(opt, data_root='/data/MOT16/train', det_root=None, seqs=('MOT16-05',), exp_name='demo', save_images
tutorials/jde/track_half.py:121
↓ 1 callersFunctionmain
(args)
tutorials/transtrack/main_track.py:150
↓ 1 callersFunctionmain
(args=None)
tutorials/ctracker/test.py:299
↓ 1 callersFunctionmain
(args=None)
tutorials/ctracker/test_byte.py:108
↓ 1 callersFunctionmake_parser
()
tools/track_deepsort.py:22
↓ 1 callersFunctionmake_parser
()
tools/train.py:14
↓ 1 callersFunctionmake_parser
()
tools/export_onnx.py:14
↓ 1 callersFunctionmake_parser
()
tools/demo_track.py:21
↓ 1 callersFunctionmake_parser
()
tools/trt.py:14
↓ 1 callersFunctionmake_parser
()
tools/track_sort.py:22
↓ 1 callersFunctionmake_parser
()
tools/track_motdt.py:22
↓ 1 callersFunctionmake_parser
()
tools/track.py:22
↓ 1 callersFunctionmake_parser
()
deploy/ONNXRuntime/onnx_inference.py:17
↓ 1 callersMethodmake_spp_block
(self, filters_list, in_filters)
yolox/models/darknet.py:66
↓ 1 callersFunctionmake_transforms_for_crowdhuman
(image_set, args=None)
tutorials/motr/joint.py:233
↓ 1 callersMethodmark_lost
(self)
yolox/motdt_tracker/basetrack.py:49
↓ 1 callersMethodmark_lost
(self)
yolox/tracker/basetrack.py:48
↓ 1 callersMethodmark_lost
(self)
tutorials/centertrack/mot_online/basetrack.py:48
↓ 1 callersMethodmark_lost
(self)
tutorials/trades/mot_online/basetrack.py:48
↓ 1 callersMethodmark_lost
(self)
tutorials/transtrack/mot_online/basetrack.py:48
↓ 1 callersMethodmatch_for_single_frame
(self, outputs: dict)
tutorials/motr/motr.py:175
↓ 1 callersMethodmatch_for_single_frame
(self, outputs: dict)
tutorials/motr/motr_det.py:175
↓ 1 callersMethodmerge_outputs
(self, detections)
tutorials/fairmot/byte_tracker.py:194
↓ 1 callersMethodmerge_outputs
(self, detections)
tutorials/fairmot/tracker.py:216
↓ 1 callersFunctionmin_cost_matching
Solve linear assignment problem. Parameters ---------- distance_metric : Callable[List[Track], List[Detection], List[int], List[int]) -> n
yolox/deepsort_tracker/linear_assignment.py:11
↓ 1 callersMethodmixup
(self, origin_img, origin_labels, input_dim)
yolox/data/datasets/mosaicdetection.py:162
↓ 1 callersMethodmulti_predict
(stracks)
yolox/tracker/byte_tracker.py:33
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/centertrack/byte_tracker.py:33
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/trades/byte_tracker.py:34
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/qdtrack/tracker_reid_motion.py:50
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/qdtrack/byte_tracker.py:35
↓ 1 callersMethodmulti_predict
(stracks, kalman_filter)
tutorials/jde/byte_tracker.py:31
↓ 1 callersMethodmulti_predict
(stracks, kalman_filter)
tutorials/jde/tracker.py:47
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/cstrack/byte_tracker.py:41
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/cstrack/tracker.py:56
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/transtrack/mot_online/byte_tracker.py:33
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/fairmot/byte_tracker.py:43
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/fairmot/tracker.py:59
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/ctracker/byte_tracker.py:35
↓ 1 callersMethodmulti_predict
(stracks)
tutorials/motr/byte_tracker.py:35
↓ 1 callersFunctionmulticlass_nms
Multiclass NMS implemented in Numpy
yolox/utils/demo_utils.py:47
↓ 1 callersFunctionnms
Single class NMS implemented in Numpy.
yolox/utils/demo_utils.py:17
↓ 1 callersFunctionoccupy_mem
pre-allocate gpu memory for training to avoid memory Fragmentation.
yolox/utils/metric.py:31
↓ 1 callersMethodparse
(self, args='')
tutorials/centertrack/opts.py:260
↓ 1 callersMethodparse
(self, args='')
tutorials/trades/opts.py:270
↓ 1 callersFunctionparse_args
()
tutorials/ctracker/eval_motchallenge.py:17
↓ 1 callersMethodpartial_fit
(self, features, targets, active_targets)
yolox/deepsort_tracker/deepsort.py:141
↓ 1 callersFunctionplot_one_box
(x, img, color=None, label=None, score=None, line_thickness=None)
tutorials/motr/eval.py:73
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