metadata
license: apache-2.0
Suryolo : Layout Model For Arabic Documents
Suryolo is combination of Surya layout Model form SuryaOCR(based on Segformer) and YoloV10 objection detection.
Setup Instructions
Clone the Surya OCR GitHub Repository
git clone https://github.com/vikp/surya.git
cd surya
Switch to v0.4.14
git checkout f7c6c04
Install Dependencies
You can install the required dependencies using the following command:
pip install -r requirements.txt
pip install ultralytics
pip install supervision
Suryolo Pipeline
Download surya_yolo_pipeline_copy.cpython-310-x86_64-linux-gnu.so file from the Repository.
Place surya_yolo_pipeline_copy.cpython-310-x86_64-linux-gnu.so and yolov10x_best.pt in same folder.
from surya_yolo_pipeline_copy import suryolo # This import will originate from surya_yolo_pipeline_copy.cpython-310-x86_64-linux-gnu.so , which is present in the repo. Also this works with Linux based OS only.
from surya.postprocessing.heatmap import draw_bboxes_on_image
image_path = "sample.jpg"
image = Image.open(image_path)
bboxes = suryolo(image_path)
plotted_image = draw_bboxes_on_image(bboxes,image)