import os os.system('pip install "git+https://github.com/facebookresearch/detectron2.git@v0.5#egg=detectron2"') import layoutparser as lp import gradio as gr model = lp.Detectron2LayoutModel('lp://PrimaLayout/mask_rcnn_R_50_FPN_3x/config') def lpi(img): layout = model.detect(img) # You need to load the image somewhere else, e.g., image = cv2.imread(...) return lp.draw_box(img, layout,) # With extra configurations inputs = gr.inputs.Image(type='pil', label="Original Image") outputs = gr.outputs.Image(type="pil",label="Output Image") title = "Layout Parser" description = "demo for Layout Parser. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below." article = "

LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis | Github Repo

" examples = [ ['examples/data/example-table.jpeg'], ['examples/data/paper-image.jpg'] ] gr.Interface(lpi, inputs, outputs, title=title, description=description, article=article, examples=examples).launch()