Comments (2)
You would need to construct the SfM models yourself.
As of now, we do not provide any training data.
Please see the paper for details on how this is done.
Kwang
from tf-lift.
Thanks,I will try my best to do it.
best wishes
Maiji
from tf-lift.
Related Issues (20)
- get both keypoints and descriptors in one function call. HOT 5
- tidy up of tf-lift and lift => how to train test, or run pretrained model HOT 1
- Dockerfile HOT 5
- missing scales-histogram-minsc-2.0.h5 HOT 2
- LIFT feature matching HOT 1
- where is requirements.txt HOT 1
- how to change the dir into my own?
- Can the code work in Windows 10 System? Or the tf-lift can only run in Linux/Ubuntu system?
- Is there any Python demo to read the .sift file from VisualSFM? HOT 1
- How to visualize the train loss and accuracy curve while training? HOT 1
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- Is there any related test code for Matching Score? HOT 2
- Activation for DESC is 'relu' rather than 'Tanh' in config.py by default HOT 2
- Where is the implementation of the Siamese Network? HOT 1
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- Is the Triplet loss better than the Hinge embedding loss in the DESC part? HOT 3
- What is the size of the training patches? 128×128 or 64×64? HOT 5
- ! Problems in running main.py HOT 5
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