Madcat ar 2

egs/madcat_ar/v1/local/chain/run_cnn_1a.sh

@@ -173,7 +173,7 @@ if [ $stage -le 5 ]; then
     --chain.alignment-subsampling-factor=$frame_subsampling_factor \
     --trainer.srand=$srand \
     --trainer.max-param-change=2.0 \
-    --trainer.num-epochs=2 \
+    --trainer.num-epochs=4 \
     --trainer.frames-per-iter=1000000 \
     --trainer.optimization.num-jobs-initial=3 \
     --trainer.optimization.num-jobs-final=16 \

egs/madcat_ar/v1/local/chain/run_cnn_chainali_1a.sh

@@ -9,7 +9,7 @@ train_set=train
 gmm=tri3        # this is the source gmm-dir that we'll use for alignments; it
                 # should have alignments for the specified training data.
 nnet3_affix=    # affix for exp dirs, e.g. it was _cleaned in tedlium.
-affix=_1b  #affix for TDNN+LSTM directory e.g. "1a" or "1b", in case we change the configuration.
+affix=_1a  #affix for TDNN+LSTM directory e.g. "1a" or "1b", in case we change the configuration.
 ali=tri3_ali
 chain_model_dir=exp/chain${nnet3_affix}/cnn_1a
 common_egs_dir=
@@ -175,9 +175,9 @@ if [ $stage -le 5 ]; then
     --chain.alignment-subsampling-factor=1 \
     --trainer.srand=$srand \
     --trainer.max-param-change=2.0 \
-    --trainer.num-epochs=2 \
+    --trainer.num-epochs=4 \
     --trainer.frames-per-iter=1000000 \
-    --trainer.optimization.num-jobs-initial=8 \
+    --trainer.optimization.num-jobs-initial=3 \
     --trainer.optimization.num-jobs-final=16 \
     --trainer.optimization.initial-effective-lrate=0.001 \
     --trainer.optimization.final-effective-lrate=0.0001 \

egs/madcat_ar/v1/local/chain/run_cnn_e2eali_1a.sh

@@ -180,7 +180,7 @@ if [ $stage -le 5 ]; then
     --trainer.max-param-change=2.0 \
     --trainer.num-epochs=2 \
     --trainer.frames-per-iter=1000000 \
-    --trainer.optimization.num-jobs-initial=8 \
+    --trainer.optimization.num-jobs-initial=3 \
     --trainer.optimization.num-jobs-final=16 \
     --trainer.optimization.initial-effective-lrate=0.001 \
     --trainer.optimization.final-effective-lrate=0.0001 \

egs/madcat_ar/v1/local/chain/run_cnn_e2eali_1b.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 
-# e2eali_1a is the same as chainali_1c but uses the e2e chain model to get the
+# e2eali_1b is the same as chainali_1a but uses the e2e chain model to get the
 # lattice alignments and to build a tree
 
 # local/chain/compare_wer.sh exp/chain/exp/chain/cnn_e2eali_1b
@@ -192,9 +192,9 @@ if [ $stage -le 5 ]; then
     --chain.right-tolerance 3 \
     --trainer.srand=$srand \
     --trainer.max-param-change=2.0 \
-    --trainer.num-epochs=2 \
+    --trainer.num-epochs=4 \
     --trainer.frames-per-iter=1000000 \
-    --trainer.optimization.num-jobs-initial=8 \
+    --trainer.optimization.num-jobs-initial=3 \
     --trainer.optimization.num-jobs-final=16 \
     --trainer.optimization.initial-effective-lrate=0.001 \
     --trainer.optimization.final-effective-lrate=0.0001 \

egs/madcat_ar/v1/local/create_line_image_from_page_image.py

@@ -412,7 +412,7 @@ def set_line_image_data(image, line_id, image_file_name, image_fh):
 
 def get_line_images_from_page_image(image_file_name, madcat_file_path, image_fh):
     """ Given a page image, extracts the line images from it.
-    Inout
+    Input
     -----
     image_file_name (string): complete path and name of the page image.
     madcat_file_path (string): complete path and name of the madcat xml file

egs/madcat_ar/v1/run.sh

@@ -47,16 +47,13 @@ fi
 
 if [ $stage -le 2 ]; then
   echo "$0: Preparing data..."
-  local/prepare_data.sh  --download_dir1 $download_dir1 \
-    --download_dir2 $download_dir2 --download_dir3 $download_dir3 \
-    --train_split_file $train_split_file --test_split_file $test_split_file \
-    --dev_split_file $dev_split_file
+  local/prepare_data.sh
 fi
 
 mkdir -p data/{train,test,dev}/data
 
 if [ $stage -le 3 ]; then
-  for dataset in test train dev; do
+  for dataset in test train; do
     local/extract_features.sh --nj $nj --cmd $cmd --feat-dim 40 data/$dataset
     steps/compute_cmvn_stats.sh data/$dataset || exit 1;
   done