Comments (2)
Thank you for your question! Currently, our code only support padding mask and will crop image by padding mask before transformer. If you want to use mask of generalized shape, you can pass the mask into here and modify the parameter of F.scaled_dot_product_attention or add a manually mask like LoFTR. We will provide config choice for this operation soon. For more detailed explanation, you can also have a look at this issue.
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OK, thanks!
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Related Issues (20)
- how to produce poses and intrinsics HOT 1
- Training code release HOT 2
- Script for 2 camera demo HOT 2
- Training code HOT 2
- LoFTR vs EfficientLoFTR predicitons HOT 1
- 训练时常 HOT 1
- Output descriptors HOT 2
- Indoor model weight HOT 2
- 速度对比 HOT 1
- looing forward to your training code HOT 4
- can it match two images in this project now? HOT 1
- generate high-quality point clouds HOT 3
- image size for training and Ablation Studies of Image Resolution HOT 4
- why did you use grayscale image? HOT 1
- Training Code HOT 1
- 导出onnx HOT 2
- 请问支持上传两张图片进行匹配吗?如果可以的话我应该怎么操作 HOT 1
- 训练代码
- The issue of code open source
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