tesseract-ocrHow can I use Tesseract OCR with CUDA for faster image processing?
Using Tesseract OCR with CUDA can significantly speed up image processing. To use Tesseract OCR with CUDA, first install the Tesseract OCR library and the CUDA Toolkit. Then, when running the Tesseract OCR library, specify the --tessdata-dir
option and the --oem
option to enable CUDA.
Here is an example of how to use Tesseract OCR with CUDA:
tesseract image.jpg output --tessdata-dir <path/to/tessdata> --oem 1
Code explanation
tesseract
: This is the command to run the Tesseract OCR library.image.jpg
: This is the image file to be processed.output
: This is the name of the output file.--tessdata-dir <path/to/tessdata>
: This is the option to specify the directory of the Tesseract OCR data.--oem 1
: This is the option to enable CUDA.
Helpful links
More of Tesseract Ocr
- How do I install and use language packs with Tesseract OCR?
- How do I set the Windows path for Tesseract OCR?
- How do I download the Tesseract OCR software from the University of Mannheim?
- How do I install Tesseract OCR on Windows?
- How do I add Tesseract OCR to my environment variables?
- How do I set the path for Tesseract OCR?
- How do tesseract ocr and easyocr compare in terms of accuracy and speed of text recognition?
- How do I use tesseract-ocr with yocto?
- How can I use Python to get the coordinates of words detected by Tesseract OCR?
- How do I download the Tesseract OCR engine?
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