Comments (1)
DenseCRF uses log on input data (i.e. this happens here ). Using logsoftmax instead of first log and then softmax is numerical more stable.
Using the log does not seam to make a huge difference in practice though.
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Related Issues (20)
- The condition is always False HOT 1
- On the difference compared to the original paper
- Why input is image rather than network output prediction?
- How to use the ConvCRF for depth estimation
- The size of tensor a (512) must match the size of tensor b (20) at non-singleton dimension 1
- The meaning of these parameters? HOT 1
- typeerror HOT 3
- Can I use ConvCRF in grayscale images?
- about the fullcrf training? HOT 1
- Any plan for the tensorflow implementation?
- Where do you implement the compatibility transform? HOT 1
- Another Question about speed test and GPU-memory test HOT 1
- Question about comparative experiment
- About training in deep network.
- Confusion regarding ordering of log and softmax in inference code
- RuntimeError: non-empty 3D or 4D (batch mode) tensor expected for input
- Sir ,tks for the cpu version,however,i think there have some small problems in your code
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from convcrf.