Comments (6)
yes, on tf-1.8, the tag is.
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my next question is that can we have the confidence of each character of output.
for example if the output resault is "art", can we have the confidence for each of "a", "r" and "t" ?
thank you!
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I can't promise anything, but it would help everyone to know more precisely what tag or commit id your query is regarding.
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can any one please help me ??
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Tag 1.8 is too old to provide any meaningful help (both because it's too old for me to remember, but also because it's deprecated). CTC collapses the characters, so you won't get the probabilities of the marginals each character corresponds to. The only thing you can get is the logits for the individual characters, because tf.nn.ctc_beam_search_decoder
gives you the total probability of each of the top paths, rather than the constituent probabilities. You'd have to tear into the underlying C++ code to get and return those.
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Related Issues (20)
- Training error HOT 9
- How to deal with single character input HOT 2
- Using Multiple GPU as a train_device HOT 3
- ctc_loss_calculator.cc Not a valid path HOT 3
- are there any pretrain model file HOT 3
- Input shapes: [72,357,1], [4] and with input tensors computed HOT 3
- It's possible to use a pre-trained model? HOT 1
- CuDnn 7.2.1 HOT 1
- get not good result, HOT 2
- FineTune ! HOT 3
- Model learns nothing about certain characters. HOT 1
- TypeError HOT 4
- Fixed sequence length HOT 1
- Training Error when using my data HOT 1
- 0% GPU-Util when testing HOT 1
- Train on vertical patches HOT 1
- Question Regarding End Model HOT 3
- How to convert .ckpt model to SavedModel .pb format for hosting with Tensorflow Model Serving? HOT 6
- How to batch inference? HOT 5
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