Comments (2)
Gaoyiminggithub
commented on July 17, 2024
1
hi,
- &2. The correct pretrained model of CIHP is in here, and the model of PASCAL is in here.
- Yes, you can use the university model, and later I will update it.
So sorry for the inconvenience.
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yarin05
commented on July 17, 2024
@Gaoyiminggithub
Any suggestion for how to predict efficiently both Pascal parts and CHIP parsing in one inference?
is it possible with current model?
Thank you for updating the Universal model, can't wait for the better results!
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Related Issues (20)
- Train PASCAL from CIHP
- In the function Featuremaps_to_Graph,why softmax axis is -1?
- CUDA memory problem HOT 1
- How to fine-tune this model for a semantic segmentation task for human parsing ? HOT 2
- why actual performance is worse than deeplab v3+? HOT 2
- How to train and evaluate on deeplabv3 baseline? HOT 2
- why Inputs requires grad? HOT 1
- Closed
- No access to google drive HOT 1
- Universal trained model is in owner's trash
- where to get full pascal-part HOT 4
- Datasets license
- Universal weight is unavailable HOT 1
- Which was the model that generated the repo's messi_output.png HOT 1
- the Pascal pretrained model
- Access rights required
- Can only use the CPU？
- error will executing /inference.py Error PYTORCH_CUDA_ALLOC_CONF
- How to prepare the dataset?
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