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github.com/BoPang1996/TubeTK
/ types & classes
Types & classes
60 in github.com/BoPang1996/TubeTK
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Functions
287
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Types & classes
60
↓ 4 callers
Class
Compose
Composes several augmentations together. Args: transforms (List[Transform]): list of transforms to compose. Example: >>> augme
dataset/augmentation.py:35
↓ 4 callers
Class
Node
post_processing/tube_iou_matching_old.py:13
↓ 3 callers
Class
AverageMeter
Computes and stores the average and current value
utils/util.py:1
↓ 3 callers
Class
GTParser_MOT_17
dataset/Parsers/MOT17.py:103
↓ 3 callers
Class
ResNet
network/resnet.py:53
↓ 3 callers
Class
TubeTK
network/tubetk.py:9
↓ 2 callers
Class
ConvertColor
dataset/augmentation.py:270
↓ 2 callers
Class
ConvertFromInts
dataset/augmentation.py:56
↓ 2 callers
Class
Data_Loader_MOT
dataset/dataLoader.py:12
↓ 2 callers
Class
GTParser_JTA
dataset/Parsers/JTA.py:121
↓ 2 callers
Class
Node
post_processing/tube_iou_matching_super_old.py:12
↓ 2 callers
Class
RandomContrast
dataset/augmentation.py:287
↓ 2 callers
Class
Resize
dataset/augmentation.py:105
↓ 2 callers
Class
SubtractMeans
dataset/augmentation.py:61
↓ 2 callers
Class
ToPercentCoords
dataset/augmentation.py:85
↓ 2 callers
Class
ToTensor
dataset/augmentation.py:486
↓ 2 callers
Class
Track
Track is the class of track. it contains all the node and manages the node. it contains the following information: 1) all the nodes 2) tr
post_processing/tube_iou_matching.py:14
↓ 2 callers
Class
Tracks
Track set. It contains all the tracks and manage the tracks. it has the following information 1) tracks. the set of tracks 2) keep the pr
post_processing/tube_iou_matching_old.py:105
↓ 2 callers
Class
VisArgumentation
Visualization/Vis_Input.py:8
↓ 1 callers
Class
Data_Loader
demo.py:185
↓ 1 callers
Class
DemoDataset
The class is the dataset for train, which read gt.txt file and rearrange them as the tracks set. it can be selected from the specified frame
demo.py:148
↓ 1 callers
Class
Expand
dataset/augmentation.py:385
↓ 1 callers
Class
FPN
network/fpn.py:5
↓ 1 callers
Class
GTParser
demo.py:107
↓ 1 callers
Class
GTParser
pre_processing/get_tubes_MOT17.py:148
↓ 1 callers
Class
GTParser
pre_processing/get_tubes_jta.py:165
↓ 1 callers
Class
GTSingleParser
demo.py:22
↓ 1 callers
Class
GTSingleParser
pre_processing/get_tubes_MOT17.py:14
↓ 1 callers
Class
GTSingleParser
pre_processing/get_tubes_jta.py:13
↓ 1 callers
Class
GTSingleParser_JTA
dataset/Parsers/JTA.py:12
↓ 1 callers
Class
GTSingleParser_MOT_17
dataset/Parsers/MOT17.py:12
↓ 1 callers
Class
JTATrainDataset
The class is the dataset for train, which read gt.txt file and rearrange them as the tracks set. it can be selected from the specified frame
dataset/jta.py:9
↓ 1 callers
Class
MOT17JTATrainDataset
The class is the dataset for train, which read gt.txt file and rearrange them as the tracks set. it can be selected from the specified frame
dataset/mot17jta.py:10
↓ 1 callers
Class
MOT17TestDataset
The class is the dataset for train, which read gt.txt file and rearrange them as the tracks set. it can be selected from the specified frame
dataset/mot17.py:50
↓ 1 callers
Class
MOT17TrainDataset
The class is the dataset for train, which read gt.txt file and rearrange them as the tracks set. it can be selected from the specified frame
dataset/mot17.py:10
↓ 1 callers
Class
PhotometricDistort
dataset/augmentation.py:459
↓ 1 callers
Class
RandomBrightness
dataset/augmentation.py:302
↓ 1 callers
Class
RandomHue
dataset/augmentation.py:240
↓ 1 callers
Class
RandomLightingNoise
dataset/augmentation.py:255
↓ 1 callers
Class
RandomMirror
dataset/augmentation.py:414
↓ 1 callers
Class
RandomSampleCrop
Crop Arguments: mode (float tuple): the min and max jaccard overlaps
dataset/augmentation.py:315
↓ 1 callers
Class
RandomSaturation
dataset/augmentation.py:225
↓ 1 callers
Class
Scale
network/track_head.py:19
↓ 1 callers
Class
SwapChannels
Transforms a tensorized image by swapping the channels in the order specified in the swap tuple. Args: swaps (int triple): final orde
dataset/augmentation.py:433
↓ 1 callers
Class
Track
dataset/Parsers/structures.py:8
↓ 1 callers
Class
Track
Track is the class of track. it contains all the node and manages the node. it contains the following information: 1) all the nodes 2) tr
post_processing/tube_iou_matching_old.py:19
↓ 1 callers
Class
Track
Track is the class of track. it contains all the node and manages the node. it contains the following information: 1) all the nodes 2) tr
post_processing/tube_iou_matching_super_old.py:18
↓ 1 callers
Class
TrackHead
network/track_head.py:28
↓ 1 callers
Class
WarmupMultiStepLR
optim/lr_scheduler.py:7
Class
AddMeans
dataset/augmentation.py:72
Class
Bottleneck
network/resnet.py:11
Class
HalfPeriodCosStepLR
optim/lr_scheduler.py:52
Class
MemTracker
Class used to track pytorch memory usage Arguments: frame: a frame to detect current py-file runtime detail(bool, default Tru
utils/mem_track.py:9
Class
Node
dataset/Parsers/structures.py:1
Class
SSJAugmentation
dataset/augmentation.py:509
Class
ToAbsCoords
dataset/augmentation.py:95
Class
ToCV2
dataset/augmentation.py:499
Class
Tracks
dataset/Parsers/structures.py:22
Class
Tracks
Track set. It contains all the tracks and manage the tracks. it has the following information 1) tracks. the set of tracks 2) keep the pr
post_processing/tube_iou_matching_super_old.py:93
Class
custom_build_ext
post_processing/nms/setup.py:60