issues
search
Engineering-Course
/
LIP_JPPNet
Code repository for Joint Body Parsing & Pose Estimation Network, T-PAMI 2018
MIT License
341
stars
87
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
How to build LIP dataset
#62
JJJYmmm
opened
7 months ago
0
How to preprocess for custom dataset?
#61
FatimaZulfiqar
opened
3 years ago
0
How to load the model beforehand for faster processing?
#60
anantaarora
opened
3 years ago
0
Create get_maximum_square_from_segmented_image.py
#59
Vickyilango
closed
1 year ago
1
Is cuda environment necessary for running evaluate_parsing_JPPNet-s2.py?
#58
ujjawalcse
opened
5 years ago
1
Can you upload codes to evaluate (inference) two outputs at the same time?
#57
GrayXu
opened
5 years ago
0
low GPU utilization
#56
QQQYang
opened
5 years ago
0
Unsatisfactory results about testing the pre-trained model on jumpsuits
#55
zengwei1302
opened
5 years ago
1
Problem when training
#54
M-Ghorbel
opened
5 years ago
0
strange training
#53
Deicide-LC
opened
5 years ago
0
Batchsize for test
#52
h-bo
opened
5 years ago
0
how to change the body parts label of the dataset into the same label and train ?
#51
853498747
closed
5 years ago
0
how to set the learning rate
#50
Anikily
opened
5 years ago
0
How to train the JPPNet by two phase?
#49
Anikily
closed
5 years ago
2
Could I get the better pre-training model? The performance of the pre-training model is slightly worse than that described in the paper.
#48
taoshiqian
opened
5 years ago
0
Pretrained Model's Output is Unexpected/Garbage
#47
alexlao
closed
5 years ago
3
why the maxmum of created heatmaps isn't 1?
#46
Anikily
closed
5 years ago
1
Can you provide visualization code?
#45
vhank
closed
5 years ago
1
Using pose ground truth for training?
#44
KeepGoing2019HaHa
closed
5 years ago
1
training and inference is using same pretrained weight?
#43
KeepGoing2019HaHa
closed
5 years ago
1
Is pre-trained model available for commercial use?
#42
iohara
closed
5 years ago
3
weird results runing evaluate_parsing_JPPNet-s2.py
#41
ChenDRAG
opened
5 years ago
3
the pretrained model at baidu drive may be corrupted
#40
fanner01
closed
5 years ago
1
some problems in evaluate_parsing_JPPNet-s2.py,,maybe bugs?
#39
ChenDRAG
closed
5 years ago
4
[VITON] Segmentation Map without face and hair
#38
solitarysandman
closed
5 years ago
1
cannot run code,need your help!
#37
ChenDRAG
closed
5 years ago
1
Run the code in real time
#36
intvo
opened
5 years ago
2
Pre-trained model
#35
FlYWMe
closed
6 years ago
1
pb file
#34
zhly0
opened
6 years ago
4
There is no upsample module?
#33
zhly0
closed
6 years ago
2
input output size
#32
zhly0
closed
6 years ago
2
input output size
#31
zhly0
closed
6 years ago
0
SSL and JPPNet
#30
zhly0
closed
6 years ago
2
How to only predict hair?
#29
taasoo
closed
5 years ago
1
The link forLIP benchmark cannot be open
#28
lyxlynn
closed
6 years ago
3
Pose Annotation of ATR
#27
maktu6
closed
6 years ago
1
Annotation for test set
#26
xiaokaisq
closed
6 years ago
2
PCKh evaluation
#25
chnanc001
closed
6 years ago
1
How to calculate IOUs?
#24
tengteng95
closed
6 years ago
2
Input Size
#23
b121351
closed
6 years ago
2
Did you compare your method with PSPNet or Deeplab v3+?
#22
zengpeng629
closed
6 years ago
1
BATCH_SIZE in training
#21
chnanc001
closed
6 years ago
1
License
#20
sberryman
closed
6 years ago
2
Training New Data
#19
chnanc001
opened
6 years ago
5
Visualisation of output
#18
chnanc001
closed
6 years ago
1
Image segmentation
#17
DaPenggg
closed
6 years ago
1
How to generate csv file for own dataset?
#16
zengpeng629
closed
6 years ago
7
Any plans for 3d head pose estimation?
#15
achalshah20
closed
6 years ago
1
Create network
#14
jasminezz
closed
6 years ago
1
difference between your train_id and LIP_dataset
#13
makalo
opened
6 years ago
1
Next