added note on how to create CSV files with SimpleHTR model

githubharald · githubharald · commit 459da93b9913 · 2019-05-25T13:58:03.000+02:00
diff --git a/.gitignore b/.gitignore
@@ -2,4 +2,5 @@
 *.log
 doc/notes.txt
 doc/matrix.svg
-__pycache__/
+__pycache__/
+.idea/
diff --git a/README.md b/README.md
@@ -64,7 +64,7 @@ The only path which gives "" still has probability 0.36, therefore "a" is the re
 
 The **Word example** testcase contains a single word from the IAM Handwriting Database \[4\]. 
 It is used to test lexicon search \[3\].
-RNN output was generated with the [SimpleHTR](https://github.com/githubharald/SimpleHTR) model.
+RNN output was generated with the [SimpleHTR](https://github.com/githubharald/SimpleHTR) model (by using the `--dump` option).
 Lexicon search first computes an approximation with best path decoding, then searches for similar words in a dictionary using a BK tree, and finally scores them by computing the loss and returning the most probable dictionary word.
 Best path decoding outputs "aircrapt", lexicon search is able to find similar words like "aircraft" and "airplane" in the dictionary, calculates a score for each of them and finally returns "aircraft", which is the correct result.
 The figure below shows the input image and the RNN output matrix with 32 time-steps and 80 classes (the last one being the CTC-blank).
