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---
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
```bash
git clone https://github.com/VikParuchuri/surya.git
cd surya
```
### Switch to v0.4.14
```bash
git checkout f7c6c04
```
### Install Dependencies
The author has not provided requirements.txt file, but `environment.yml` from our conda environment has been uploaded, This file can be used to recreate environment for Suryolo model.
### Suryolo Pipeline
Download `surya_yolo_pipeline_copy.cpython-310-x86_64-linux-gnu.so` , `yolov10x_best.pt` and `surya folder` from the Repository.
Place `surya_yolo_pipeline_copy.cpython-310-x86_64-linux-gnu.so`, `yolov10x_best.pt` and `surya folder` in same directory (They are dependent on each other).
```python
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)
```
#### Refer to `benchmark.ipynb` for comparison between Traditional Surya Layout Model and Suryolo Layout Model. |