Comments (3)
I'm not sure how the progress goes in your faces dataset (in Places2, 160k is at least OK).
Since this implementation is based on the paper published four years ago, you might try recent methods if you want to get better results faster.
from pytorch-inpainting-with-partial-conv.
Hi, I want to train my dataset use this model, But this code is about the Pales2 dataset, so how do I train my own dataset?
from pytorch-inpainting-with-partial-conv.
You can get your own dataset and modify places2.py to load the images in it.
from pytorch-inpainting-with-partial-conv.
Related Issues (20)
- A problem in net.py
- Blurry problem in training HOT 1
- can not find the dataset Places2 HOT 2
- Problem while using net.py HOT 1
- Inquiry about LICENSE HOT 2
- test.py uses Places2 Class incorrectly
- Hi, where are the trained models in your project? HOT 1
- About Model Size HOT 1
- bad examples HOT 1
- Slight scaling issue in PartialConv function
- Generate Mask HOT 1
- 索引 HOT 2
- 版本不匹配 HOT 1
- 类型错误
- 类型错误
- Why the mask is convolved in partial conv?
- Loss values vary a lot
- http://places2.csail.mit.edu/ が開けません HOT 1
- Your Partial Conv is new in computer vision. However, if you use a ground truth image in your loss function for your model trining, your paper is worthless for image inpainting. In most cases, we only have a deteriorated image, and the the ground truth is an unknown target. HOT 3
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from pytorch-inpainting-with-partial-conv.