---
license: apache-2.0
---

## 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
from PIL import 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.
#### Refer to `results` folder to visualize images obtained from both the models.