akaocr 2.0.1

This package is compatible with akaOCR & PaddleOCR for ocr pipeline program (Text Detection & Text Recognition), using ONNX format model (CPU speed can be x2 times faster)

akaOCR

Description

This package is compatible with akaOCR for ocr pipeline program (Text Detection & Text Recognition), using ONNX format model (CPU speed can be x2 times faster). This code is referenced from this awesome repo.

Installation

You can install the package using pip:

pip install akaocr

Usage

Step 1: Use in your code: Text Detection.

from akaocr import BoxEngine
import cv2

img_path = "path/to/image.jpg"
image = cv2.imread(img_path)

# side_len: minimum inference image size
box_engine = BoxEngine(model_path: Any | None = None,
                        side_len: int = 736,
                        conf_thres: float = 0.5)

# inference for one image
bboxs = box_engine(image) # [[4 points],...]

Step 2: Use in your code: Text Recognition.

from akaocr import TextEngine
import cv2

img_path = "path/to/cropped_image.jpg"
cropped_image = cv2.imread(img_path)

text_engine = TextEngine(model_path: Any | None = None,
                        vocab_path: Any | None = None,
                        use_space_char: bool = True)

# inference for one or more images
texts = text_engine(cropped_image) # [(text, conf),...]

License

This project is licensed under the Apache License 2.0

"I hope this package will be useful for your projects". Nguyễn Trường Lâu (from akaOCR Team).