tesseract-ocrHow can I use Tesseract OCR on an NVIDIA GPU?
Tesseract OCR can be used on NVIDIA GPUs using the NVIDIA Deep Learning SDK. The SDK provides a comprehensive set of tools for accelerating deep learning inference applications such as Tesseract OCR.
The following example code shows how to use Tesseract OCR on an NVIDIA GPU:
import tesseract
from tesseract.pytesseract import image_to_string
# Load the image
image = cv2.imread('test.png')
# Run tesseract on the GPU
with tesseract.Session() as sess:
output = image_to_string(image, session=sess)
print(output)
The code above will run Tesseract OCR on the specified image using the NVIDIA GPU.
The code consists of the following parts:
- Importing the Tesseract and pytesseract libraries
- Loading the image
- Creating a Tesseract session
- Running Tesseract on the image
Helpful links
More of Tesseract Ocr
- What hardware is required to use Tesseract OCR?
- How can I use Tesseract to perform zonal OCR?
- How can I use Tesseract OCR on a Raspberry Pi?
- How can I use Tesseract OCR to set the Page Segmentation Mode (PSM) for an image?
- How do I add Tesseract OCR to my environment variables?
- How do I set the Windows path for Tesseract OCR?
- How can I integrate Tesseract OCR into a Unity project?
- How do I use Tesseract OCR?
- How can I use Python to get the coordinates of words detected by Tesseract OCR?
- How do I install Tesseract-OCR using Yum?
See more codes...