From 8ba5e9957e8618909023957ac479f734c78f5352 Mon Sep 17 00:00:00 2001 From: Harald Scheidl <harald@newpc.com> Date: Thu, 18 Feb 2021 21:20:49 +0100 Subject: [PATCH] rm old faq section --- README.md | 7 ------- 1 file changed, 7 deletions(-) diff --git a/README.md b/README.md index dee51b2..543404f 100644 --- a/README.md +++ b/README.md @@ -98,16 +98,9 @@ The illustration below gives an overview of the NN (green: operations, pink: dat * 2 LSTM layers with 256 units propagate information through the sequence and map the sequence to a matrix of size 32x80. Each matrix-element represents a score for one of the 80 characters at one of the 32 time-steps * The CTC layer either calculates the loss value given the matrix and the ground-truth text (when training), or it decodes the matrix to the final text with best path decoding or beam search decoding (when inferring) -  -## FAQ -* Where can I find the file `words.txt` of the IAM dataset: it is located in the subfolder `ascii` on the IAM website -* I want to recognize the text contained in a text-line: the model is too small for this, you have to first segment the line into words, e.g. using the model from the [WordDetectorNN](https://github.com/githubharald/WordDetectorNN) repository -* I get an error when running the script more than once from an interactive Python session: do **not** call function `main()` in file `main.py` from an interactive session, as the TF computation graph is created multiple times when calling `main()` multiple times. Run the script by executing `python main.py` instead - - ## References * [Build a Handwritten Text Recognition System using TensorFlow](https://towardsdatascience.com/2326a3487cd5) * [Scheidl - Handwritten Text Recognition in Historical Documents](https://repositum.tuwien.ac.at/obvutwhs/download/pdf/2874742) -- GitLab