Comments (8)
I have actually finished with the pytorch version a couple of weeks ago but it's a bit behind the original implementation performance.
I might try and release it, perhaps people can help levelling the performance?
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This version uses a matconvnet-pretrained network.
You can train new models using the code from the conv5 baseline of CFNet
However, since the model is fully specified in this TensorFlow project, it shouldn't be too much work to add a logistic loss and the training code.
If you can wait though, we might come up with a PyTorch (better) version at some point next year.
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Me too.
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+1 for PyTorch Code
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+1 for PyTorch code
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Yes, if you release the PyTorch version maybe we can help you to increase its performance.
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Dear @bertinetto,
Have you released the PyTorch version of the project?
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Dear Luca,
Can you release the PyTorch version? I'd be happy to work on it.
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Related Issues (20)
- Change the CNN Model
- Have anyone implemented training code by tensorflow? HOT 3
- the stride of the final representation is 8
- the result seem not good?
- something wrong with /usr/lib/python2.7/json/decoder.py HOT 1
- Tracking not good when object scale changes HOT 1
- Normalization doubt HOT 2
- Why does output channals be 32? HOT 1
- Hello! the link of pretrained model can't been open. HOT 12
- How does this tracker work?
- ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory HOT 1
- Update to python3
- how to do multiple objects tracking using SiamFC? HOT 1
- AttributeError: '_VariableStore' object has no attribute '_get_single_variable'
- Problems about code in Siamese.py from src
- What is the value of T (2 frames are choosen at most T frames apart)? HOT 2
- what the meaning of evaluation.n_subseq is in the code?
- How is the ground truth txt file set up?
- Can track small fast moving object
- Can siamfc network convert into tensorflow model?
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