Comments (3)
leijue222
commented on September 3, 2024
The principle of the paper requires us to provide two pictures：images and the image's trimap
Get Trimap's code in here:
Deep-Image-Matting-PyTorch/data_gen.py
Line 87 in db6a96d
But this function need we provide alpha image.
It seems we have to get it by ourself.
Obtained manually by PS or by semantic segmentation model
This is my personal view,I don't know if this is right.
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sunweixings
commented on September 3, 2024
你好，请问你是否能提供预训练模型以供参考？
from deep-image-matting-pytorch.
foamliu
commented on September 3, 2024
It depends on trimaps.
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Related Issues (20)
- AttributeError: 'DIMModel' object has no attribute 'module' HOT 1
- Regarding Compositional Loss HOT 1
- for dataset HOT 2
- result is not good, why? HOT 2
- question on alpha as input to gen_trimap HOT 1
- Composition-1k test dataset HOT 1
- Does it work on other objects like cars, other automobiles? HOT 1
- evaluate problem HOT 1
- can you share with me adobe dataset ? HOT 2
- About the number of training fgs in Adobe dataset? HOT 1
- 怎么提取前景呢 HOT 1
- 预训练模型文件解不开了
- How to train it on Custom Dataset & do inference on single image
- .
- demo.py can't work HOT 1
- DIM dataset HOT 2
- Where is The Trimap generation model?
- the number of channel of trimap should be 1 or 3?
- Composition_code_revised.py
- About fg in training data
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