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import gradio as gr | |
import pandas as pd | |
import easyocr | |
import torch | |
import PIL | |
from PIL import Image | |
from PIL import ImageDraw | |
def draw_boxes(image, bounds, color='blue', width=1): | |
draw = ImageDraw.Draw(image) | |
for bound in bounds: | |
p0, p1, p2, p3 = bound[0] | |
draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width) | |
return image | |
def detect(img, lang=['en']): | |
reader = easyocr.Reader(lang) | |
bounds = reader.readtext(img) | |
im = PIL.Image.open(img) | |
im_out=draw_boxes(im, bounds) | |
return im_out,pd.DataFrame(bounds).iloc[: 0, -1:],pd.DataFrame(bounds).iloc[: 0, -1:] | |
with gr.Blocks() as robot: | |
im=gr.Image(type="filepath") | |
go_btn=gr.Button() | |
out_im=gr.Image() | |
with gr.Row(): | |
out_txt=gr.Textbox(lines=8) | |
data_f=gr.Dataframe(headers=['text', 'confidence']) | |
go_btn.click(detect,im,[out_im,out_txt,data_f]) | |
robot.queue(concurrency_count=10).launch() |