Text Detection in Images Using TensorFlow.js

---

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Text Detection using tensorflowjs

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---

The Challenge: How to Detect Text in Images

Step-by-Step Solution for Text Detection

Download the EAST frozen model.

[[See Video to Reveal this Text or Code Snippet]]

Make sure to replace /path_to_model and /path_to_where_you_want_save_converted_model with your actual paths.

Step 2: Preparing the Image for Processing

Once your model is converted, you can start detecting text. Follow these steps to prepare your input image:

Capture or upload the image that you want to analyze.

Load the model into your application.

Here's an example of how to implement this:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Analyze the Output

The EAST model provides two outputs: scores and geometry. For the purpose of text detection (as opposed to localization), you primarily need the scores.

The data1 variable contains geometry information, which you may choose to ignore if you're solely interested in detecting text presence.

The data2 variable provides the score of the predictions.

Step 4: Set a Threshold for Detection

To determine whether text is present in the image, you can implement a probability threshold. The example below sets the threshold at 0.5:

[[See Video to Reveal this Text or Code Snippet]]

If the score is greater than 0.5, it indicates that text is present.

If it's less than 0.5, then no text is detected.

Additional Note on Preprocessing

In this guide, we have omitted the preprocessing step of subtracting the mean RGB value from the image's RGB values except for resizing it. Depending on your application's accuracy requirements, implementing such preprocessing can enhance performance.

Conclusion

Happy coding, and may your text detection journey be fruitful!