File size: 1,027 Bytes
d6f9d03 2be2b38 d6f9d03 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | import easyocr as ocr #OCR
import streamlit as st #Web App
from PIL import Image #Image Processing
import numpy as np #Image Processing
import re
#title
st.title("OCR - ML Example")
#subtitle
st.markdown("## Optical Character Recognition")
#image uploader
image = st.file_uploader(label = "Upload your image here",type=['png','jpg','jpeg'])
@st.cache
def load_model():
reader = ocr.Reader(['en'],model_storage_directory='.')
return reader
reader = load_model() #load model
if image is not None:
input_image = Image.open(image) #read image
st.image(input_image) #display image
with st.spinner("Please wait ... processing"):
result = reader.readtext(np.array(input_image))
result_text = [] #empty list for results
for text in result:
# only output if numbers and spaces
# if re.match("^[0-9 ]+$", text[1]):
result_text.append(text[1])
st.write(result_text)
st.balloons()
else:
st.write("Upload an Image")
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