cube: Fix typos in comments

All of them were found by codespell.

Signed-off-by: Stefan Weil <[email protected]>

Author: stweil

cube/beam_search.cpp

@@ -93,7 +93,7 @@ void BeamSearch::CreateChildren(SearchColumn *out_col, LangModel *lang_mod,
   }  // lm_edges
 }
 
-// Performs a beam seach in the specified search using the specified
+// Performs a beam search in the specified search using the specified
 // language model; returns an alternate list of possible words as a result.
 WordAltList * BeamSearch::Search(SearchObject *srch_obj, LangModel *lang_mod) {
   // verifications

cube/beam_search.h

@@ -45,7 +45,7 @@ class BeamSearch {
  public:
   explicit BeamSearch(CubeRecoContext *cntxt, bool word_mode = true);
   ~BeamSearch();
-  // Performs a beam seach in the specified search using the specified
+  // Performs a beam search in the specified search using the specified
   // language model; returns an alternate list of possible words as a result.
   WordAltList *Search(SearchObject *srch_obj, LangModel *lang_mod = NULL);
   // Returns the best node in the last column of last performed search.

cube/conv_net_classifier.cpp

@@ -72,7 +72,7 @@ bool ConvNetCharClassifier::Train(CharSamp *char_samp, int ClassID) {
 
 /**
  * A secondary function needed for training. Allows the trainer to set the
- * value of any train-time paramter. This function is currently not
+ * value of any train-time parameter. This function is currently not
  * implemented. TODO(ahmadab): implement end-2-end training
  */
 bool ConvNetCharClassifier::SetLearnParam(char *var_name, float val) {

cube/conv_net_classifier.h

@@ -55,7 +55,7 @@ class ConvNetCharClassifier : public CharClassifier {
   // is currently not implemented. TODO(ahmadab): implement end-2-end training
   virtual bool Train(CharSamp *char_samp, int ClassID);
   // A secondary function needed for training. Allows the trainer to set the
-  // value of any train-time paramter. This function is currently not
+  // value of any train-time parameter. This function is currently not
   // implemented. TODO(ahmadab): implement end-2-end training
   virtual bool SetLearnParam(char *var_name, float val);
   // Externally sets the Neural Net used by the classifier. Used for training

cube/cube_line_object.cpp

@@ -247,7 +247,7 @@ int CubeLineObject::ComputeWordBreakThreshold(int con_comp_cnt,
     word_break_threshold--;
   } while (!valid && word_break_threshold > 0);
 
-  // failed to find a threshold that acheives the target aspect ratio.
+  // failed to find a threshold that achieves the target aspect ratio.
   // Just use the default threshold
   return  static_cast<int>(line_pix_->h *
                            cntxt_->Params()->MaxSpaceHeightRatio());

cube/cube_line_segmenter.cpp

@@ -237,7 +237,7 @@ Pixa *CubeLineSegmenter::CrackLine(Pix *cracked_line_pix,
   return NULL;
 }
 
-// split a line continously until valid or fail
+// split a line continuously until valid or fail
 Pixa *CubeLineSegmenter::SplitLine(Pix *line_mask_pix, Box *line_box) {
   // clone the line mask
   Pix *line_pix = pixClone(line_mask_pix);
@@ -739,7 +739,7 @@ bool CubeLineSegmenter::LineSegment() {
   return true;
 }
 
-// Estimate the paramters of the font(s) used in the page
+// Estimate the parameters of the font(s) used in the page
 bool CubeLineSegmenter::EstimateFontParams() {
   int hgt_hist[kHgtBins];
   int max_hgt;

cube/cube_search_object.cpp

@@ -212,7 +212,7 @@ CharSamp *CubeSearchObject::CharSample(int start_pt, int end_pt) {
     samp->SetLastChar(last_char ? 255 : 0);
   } else {
     // for non cursive languages, these features correspond
-    // to whether the charsamp is at the begining or end of the word
+    // to whether the charsamp is at the beginning or end of the word
     samp->SetFirstChar((start_pt == -1) ? 255 : 0);
     samp->SetLastChar((end_pt == (segment_cnt_ - 1)) ? 255 : 0);
   }

cube/cube_search_object.h

@@ -114,7 +114,7 @@ class CubeSearchObject : public SearchObject {
             end_pt <= (start_pt + max_seg_per_char_));
   }
   // computes the space and no space costs at gaps between segments
-  // return true on sucess
+  // return true on success
   bool ComputeSpaceCosts();
 };
 }

cube/hybrid_neural_net_classifier.cpp

@@ -72,7 +72,7 @@ bool HybridNeuralNetCharClassifier::Train(CharSamp *char_samp, int ClassID) {
 }
 
 // A secondary function needed for training. Allows the trainer to set the
-// value of any train-time paramter. This function is currently not
+// value of any train-time parameter. This function is currently not
 // implemented. TODO(ahmadab): implement end-2-end training
 bool HybridNeuralNetCharClassifier::SetLearnParam(char *var_name, float val) {
   // TODO(ahmadab): implementation of parameter initializing.
@@ -151,7 +151,7 @@ bool HybridNeuralNetCharClassifier::RunNets(CharSamp *char_samp) {
     return false;
   }
 
-  // go thru all the nets
+  // go through all the nets
   memset(net_output_, 0, class_cnt * sizeof(*net_output_));
   float *inputs = net_input_;
   for (int net_idx = 0; net_idx < nets_.size(); net_idx++) {

cube/hybrid_neural_net_classifier.h

@@ -48,7 +48,7 @@ class HybridNeuralNetCharClassifier : public CharClassifier {
   // is currently not implemented. TODO(ahmadab): implement end-2-end training
   virtual bool Train(CharSamp *char_samp, int ClassID);
   // A secondary function needed for training. Allows the trainer to set the
-  // value of any train-time paramter. This function is currently not
+  // value of any train-time parameter. This function is currently not
   // implemented. TODO(ahmadab): implement end-2-end training
   virtual bool SetLearnParam(char *var_name, float val);
   // Externally sets the Neural Net used by the classifier. Used for training

cube/tess_lang_model.cpp

@@ -397,7 +397,7 @@ int TessLangModel::NumberEdges(EDGE_REF edge_ref, LangModEdge **edge_array) {
     return 0;
   }
 
-  // go thru all valid transitions from the state
+  // go through all valid transitions from the state
   int edge_cnt = 0;
 
   EDGE_REF new_edge_ref;