Comments (7)
I am looking into training the network as well, have you managed to do so?
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@engraamirkhan @nicholasadr
Hi,I am looking into training the network as well, have you managed to do so?
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@zhanggaojian I am working on training the network on a custom set of data that I have prepared myself. So far most of the modification/additions that I had to do was due to the nature of my data and not due to any fault in the original code. I have yet to achieve good training performance but it's too early to tell why at this point.
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@nicholasadr
Hi, I am sorry to bother you. Could you tell me how to train the network?
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@zhanggaojian take a look at train_lfnet.py
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@zhanggaojian take a look at
train_lfnet.py
I want to know how prepare the datasets? thanks
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@szgy66
Hello, have you worked out the datasets for training?
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Related Issues (20)
- Matching Score of SIFT on HPatches differs from SuperPoint HOT 1
- Find Matches HOT 11
- Invalid argument error HOT 2
- Evaluate on HPatches benchmark HOT 1
- Top K pixels gradient backpropagation HOT 3
- Using lf-net in OpenCV dnn HOT 4
- No file is found under the directory "/home" HOT 3
- What are the thetas and inv_thetas of next batch? HOT 3
- raise ValueError('Miss finding argument: unparsed={}\n'.format(unparsed)) HOT 1
- Inference time for images HOT 3
- Will you release a pytorch version? HOT 1
- A little problem with a function"logarithm_so3"? HOT 1
- description match HOT 9
- test datasets keypoints number HOT 1
- inverse_warp_view_2_to_1 HOT 1
- Return also the keypoint scores
- Find matches HOT 13
- Test on Roxford5k benchmark HOT 1
- where is the function 'euclidean_augmentation' in train_lfnet from? HOT 2
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