Add --text-mask flag to CLI tool

.github/workflows/ci.yml

@@ -23,7 +23,7 @@ jobs:
           target/
         key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
     - name: Install wasm-bindgen
-      run: which wasm-bindgen || cargo install wasm-bindgen-cli
+      run: cargo install wasm-bindgen-cli --version 0.2.89
     - name: Build
       run: cargo build
     - name: WASM build

ocrs-cli/src/main.rs

@@ -119,6 +119,9 @@ struct Args {
     /// Generate a text probability map.
     text_map: bool,
 
+    /// Generate a text mask. This is the binarized version of the probability map.
+    text_mask: bool,
+
     /// Extract each text line found and save as a PNG image.
     text_line_images: bool,
 }
@@ -134,6 +137,7 @@ fn parse_args() -> Result<Args, lexopt::Error> {
     let mut output_path = None;
     let mut recognition_model = None;
     let mut text_map = false;
+    let mut text_mask = false;
     let mut text_line_images = false;
 
     let mut parser = lexopt::Parser::from_env();
@@ -167,6 +171,9 @@ fn parse_args() -> Result<Args, lexopt::Error> {
             Long("text-map") => {
                 text_map = true;
             }
+            Long("text-mask") => {
+                text_mask = true;
+            }
             Long("help") => {
                 println!(
                     "Extract text from an image.
@@ -211,13 +218,17 @@ Advanced options:
 
     Enable debug logging
 
+  --text-line-images
+
+    Export images of identified text lines
+
   --text-map
 
     Generate a text probability map for the input image
 
-  --text-line-images
+  --text-mask
 
-    Export images of identified text lines
+    Generate a binary text mask for the input image
 ",
                     bin_name = parser.bin_name().unwrap_or("ocrs")
                 );
@@ -240,6 +251,7 @@ Advanced options:
         image: values.pop_front().ok_or("missing `<image>` arg")?,
         recognition_model,
         text_map,
+        text_mask,
         text_line_images,
     })
 }
@@ -297,11 +309,19 @@ fn main() -> Result<(), Box<dyn Error>> {
     })?;
 
     let ocr_input = engine.prepare_input(color_img.view())?;
-    if args.text_map {
+    if args.text_map || args.text_mask {
         let text_map = engine.detect_text_pixels(&ocr_input)?;
         let [height, width] = text_map.shape();
         let text_map = text_map.into_shape([1, height, width]);
-        write_image("text-map.png", text_map.view())?;
+        if args.text_map {
+            write_image("text-map.png", text_map.view())?;
+        }
+
+        if args.text_mask {
+            let threshold = engine.detection_threshold();
+            let text_mask = text_map.map(|x| if *x > threshold { 1. } else { 0. });
+            write_image("text-mask.png", text_mask.view())?;
+        }
     }
 
     let word_rects = engine.detect_words(&ocr_input)?;

ocrs/Cargo.toml

@@ -16,7 +16,9 @@ rten-imageproc = { version = "0.4.0" }
 rten-tensor = { version = "0.4.0" }
 
 [target.'cfg(target_arch = "wasm32")'.dependencies]
-wasm-bindgen = "0.2.87"
+# nb. When changing this, make sure the version of wasm-bindgen-cli installed
+# in CI etc. is in sync.
+wasm-bindgen = "0.2.89"
 
 [dev-dependencies]
 fastrand = "1.9.0"

ocrs/src/detection.rs

@@ -7,6 +7,7 @@ use rten_tensor::{NdTensor, NdTensorView, Tensor};
 use crate::preprocess::BLACK_VALUE;
 
 /// Parameters that control post-processing of text detection model outputs.
+#[derive(Clone, Debug, PartialEq)]
 pub struct TextDetectorParams {
     /// Threshold for minimum area of returned rectangles.
     ///
@@ -89,6 +90,12 @@ impl TextDetector {
         })
     }
 
+    /// Return the confidence threshold used to determine whether a pixel is
+    /// text or not.
+    pub fn threshold(&self) -> f32 {
+        self.params.text_threshold
+    }
+
     /// Detect text words in a greyscale image.
     ///
     /// `image` is a greyscale CHW image with values in the range `ZERO_VALUE` to

ocrs/src/lib.rs

@@ -19,7 +19,7 @@ mod text_items;
 #[cfg(target_arch = "wasm32")]
 mod wasm_api;
 
-use detection::TextDetector;
+use detection::{TextDetector, TextDetectorParams};
 use layout_analysis::find_text_lines;
 use preprocess::prepare_image;
 use recognition::{RecognitionOpt, TextRecognizer};
@@ -179,6 +179,15 @@ impl OcrEngine {
         Ok(line_image)
     }
 
+    /// Return the confidence threshold applied to the output of the text
+    /// detection model to determine whether a pixel is text or not.
+    pub fn detection_threshold(&self) -> f32 {
+        self.detector
+            .as_ref()
+            .map(|detector| detector.threshold())
+            .unwrap_or(TextDetectorParams::default().text_threshold)
+    }
+
     /// Convenience API that extracts all text from an image as a single string.
     pub fn get_text(&self, input: &OcrInput) -> anyhow::Result<String> {
         let word_rects = self.detect_words(input)?;