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import os
os.system('pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html')
from deepdoctection.dataflow import DataFromList
from deepdoctection import get_dd_analyzer
from deepdoctection import Image
import gradio as gr
def analyze_image(img):
# creating an image object and passing to the analyzer by using dataflows
image = Image(file_name="input.png", location="")
image.image = img[:,:,::-1]
df = DataFromList(lst=[image])
analyzer = get_dd_analyzer(ocr=False)
df = analyzer.analyze(dataset_dataflow=df)
df.reset_state()
dp = next(iter(df))
out = dp.as_dict()
out.pop("image")
return dp.viz(show_table_structure=False), out
inputs = [gr.inputs.Image(type='numpy', label="Original Image")]
outputs = [gr.outputs.Image(type="numpy", label="Output Image"), gr.JSON()]
title = "Deepdoctection - A Document AI Package"
description = "Demonstration of layout analysis and output of a document page."
examples = [['sample_1.jpg'],['sample_2.png']]
gr.Interface(analyze_image, inputs, outputs, title=title, description=description, examples=examples).launch() |