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Issues list

Can i run the model with CPU
#64 opened Dec 1, 2021 by TeamBaconn
1
Trouble using mhp_extension
#42 opened Sep 3, 2020 by jeremy-computervision
7
Always get black image output (all zero label parsing)
#51 opened Jan 27, 2021 by hyeokhyen
4
How long does it take for 1 images?
#52 opened Feb 9, 2021 by Stephenfang51
1
Need to train on Custom Dataset
#55 opened Mar 31, 2021 by FatimaZulfiqar
2
run error: No module named 'ninja'
#56 opened Apr 11, 2021 by shuxjweb
11
AssertionError when evaluating with batch size > 1
#57 opened Apr 30, 2021 by AlkaSaliss
Problems with running simple_extractor.py
#58 opened May 3, 2021 by victorhqx
6
RuntimeError: All input tensors must be on the same device. Received cuda:0 and cuda:3
#59 opened Jun 11, 2021 by tjwyj
3
Question to authors: have you tested image augmentations in the training pipeline?
#60 opened Jun 29, 2021 by FraPochetti
How to visualize Multiple Human Parsing Result?
#61 opened Aug 9, 2021 by xinzi2018
Using soft prediction
#62 opened Sep 7, 2021 by rose-jinyang
4
setup.py and .pth help wanted Extra attention is needed
#19 opened Jul 2, 2020 by yunshangyue71
6
train question
#63 opened Oct 29, 2021 by cLEARLoVE00
1
Role of cycle number M
#65 opened Dec 8, 2021 by straeter
ValueError: Unknown activation function none
#66 opened Dec 14, 2021 by mayanktiwariiiitdmj
FileNotFoundError: [Errno 2] No such file or directory: '../../demo/annotations/demo_val.json'
#67 opened Dec 31, 2021 by woo1
Training errors on LIP
#68 opened Feb 22, 2022 by abhigoku10
4
How can i run it on videos ?
#69 opened Mar 23, 2022 by ykarray
1
LIP dataset not available
#71 opened May 4, 2022 by RichardChen20
3
How to visualize edge prediction?
#72 opened May 26, 2022 by wertjy
1
Where is the pre-trained model for Multiple Human Parsing?
#73 opened May 30, 2022 by madensit
Training Time is huge
#74 opened Jul 28, 2022 by abhigoku10
CIHP dataset Training
#75 opened Jul 28, 2022 by abhigoku10
Wrong Inference Results of demo with pretrained
#91 opened Jun 17, 2024 by sugarbeet34
1
ProTip! Follow long discussions with comments:>50.