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amathislab
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BUCTD
[ICCV 2023] "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity"
https://amathislab.github.io/BUCTD
Apache License 2.0
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Questions about the CrowdPose dataset results with HRNet-W48
#22
1084281986
opened
3 weeks ago
1
Questions about the OCHuman dataset results
#21
lllluy
closed
3 weeks ago
1
Assumption regarding number of keypoint conditions
#20
pradeeplam
closed
1 month ago
1
Training with generative sampling without providing empirical conditional keypoints
#19
LucZot
closed
3 months ago
0
Inquiry on Integration Timeline for BUCTD in DeepLabCut
#18
ZackAXue
closed
2 months ago
2
install requirement packages lshashing==1.1.3 encounter error "NameError: name 'ext_modules' is not defined"
#17
chenhzhu
closed
3 months ago
1
Regarding environment configuration
#16
dezhu-zhao
closed
4 months ago
2
CTD-preNet-W32's model
#15
yzew
closed
6 months ago
1
How to get the "train_cond.json"？
#14
yzew
closed
7 months ago
3
Testing videos using pre-trained models
#13
felipearrudamoura
closed
6 months ago
4
About code training
#12
wuhuqifei0
closed
6 months ago
1
Why the key point feature is a three-channel color map?
#11
yzew
closed
8 months ago
1
add inference and visualization code
#10
zhoumu53
closed
6 months ago
1
How to test on single image ?
#9
ocracy
closed
10 months ago
2
visualization
#8
SHUOFEN2019416
closed
10 months ago
1
Further clean up
#7
LucZot
closed
10 months ago
1
Update link for OCHuman weights
#6
zhoumu53
closed
10 months ago
0
Pretrained model keypoint number mismatch
#5
Laudwika
closed
10 months ago
4
Initial Code Release
#4
LucZot
closed
11 months ago
2
Update README.md
#3
MMathisLab
closed
1 year ago
0
Update README.md
#2
MMathisLab
closed
1 year ago
0
Looking forward to your open source！
#1
wangdong0556
closed
11 months ago
1