Comments (1)
Please see issue #1 .
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
- What is the latest development of LIFT? Is it being under improvement? HOT 1
- 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
- I wonder a question: why LIFT performs so better than SIFT? HOT 1
- 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
- problem of file notfound HOT 5
- lift training HOT 1
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from tf-lift.