Comments (2)
ZHKKKe
commented on June 8, 2024
你好，感谢你的关注。
compositional loss中的ground truth foreground和ground truth background是输入图像的前景和背景。求解时候没用用到trimap。
这个loss是论文 Deep Image Matting 提出的，你可以参考他们原文如何计算该损失。
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LianShuaiLong
commented on June 8, 2024
你好，感谢你的关注。
compositional loss中的ground truth foreground和ground truth background是输入图像的前景和背景。求解时候没用用到trimap。这个loss是论文 Deep Image Matting 提出的，你可以参考他们原文如何计算该损失。
好的，期待前辈的训练代码
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Related Issues (20)
- MODNet离线demo——WebCam调用摄像头延迟 HOT 1
- Will you please release the DEMO trained model? HOT 1
- Anyone who would kindly share their training code? HOT 5
- Training Code HOT 8
- 如何设置只对人像进行识别抠图 HOT 2
- Initial performance very poor after training on P3M dataset.
- 你好，我是清华的一名学生，论文提到分割部分的backbone是mobileV2吗，这部分是否可以换成其他网络，有一些细节比较困惑，真心请教，感激不尽 HOT 1
- Whether it is possible to replace the backbone of the semantic segmentation part and change it to swintrainsformer
- inaccurate
- Fine-tuning MODNet on a custom dataset using SOC HOT 1
- How to get the label(groundtruth) of other image?
- 请问mobilenetv2_human_seg.ckpt和其他几个模型的区别在哪儿？
- I think the boundary mask is calculated wrong HOT 1
- modnet 下面模型怎么安装使用？ HOT 1
- Performance different on colab demo and website demo
- 关于e-ASPP HOT 4
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- Single image portrait cutout. Running on GPU is not as fast as CPU
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- 求教
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