qengineering / opencv_ocr_detect_text

Detect text in an image with OpenCV

OpenCV_OCR_Detect_Text

Detect text in images with a bare Raspberry Pi 4.

Paper: https://arxiv.org/pdf/1507.05717.pdf
Special made for a bare Raspberry Pi 4, see Q-engineering deep learning examples

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Tip.

👉 See also PaddleOCR-Lite solution. It is 25 times faster!

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Dependencies.

To run the application, you have to:

• A raspberry Pi 4 with a 32 or 64-bit operating system. It can be the Raspberry 64-bit OS, or Ubuntu 18.04 / 20.04. Install 64-bit OS
  
• OpenCV version 4.5.1 or higher 64-bit installed. Install OpenCV 4.5
  
• Code::Blocks installed. ($ sudo apt-get install codeblocks)

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Installing the app.

To extract and run the network in Code::Blocks
$ mkdir MyDir
$ cd MyDir
$ wget https://github.com/Qengineering/OpenCV_OCR_Detect_Text/archive/refs/heads/main.zip
$ unzip -j master.zip
Remove master.zip, LICENSE and README.md as they are no longer needed.
$ rm master.zip
$ rm LICENSE
$ rm README.md

Your MyDir folder must now look like this:
french_0.jpg
img_0491.jpg
img_0599.jpg
OpenCV_Detect_Text.cpb
main.cpp
DB_TD500_resnet.onnx

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Running the app.

To run the application load the project file OpenCV_Detect_Text.cbp in Code::Blocks.
Next, follow the instructions at Hands-On.
More information can be found at OpenCV tutorial.

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