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import cv2 | |
import numpy as np | |
import gradio as gr | |
from ocr import OCR | |
ocr = OCR() | |
def visualize_img(image, boxes): | |
for box in boxes: | |
points = np.array(box, dtype=np.int32).reshape((-1, 1, 2)) | |
image = cv2.polylines(image, [points], True, (255, 0, 0), 1) | |
return image | |
def process_ocr(input_img): | |
result = ocr.ocr_image(input_img) | |
boxes, txts, scores = ocr.extract_output(result) | |
# Visualize image and boxes | |
image_drawed = visualize_img(input_img, boxes) | |
# Marger txts | |
text = ' '.join([i for i in txts]) | |
return image_drawed, text | |
title = "OCR License Plate Indonesia" | |
css = ".image-preview {height: auto !important;}" | |
iface = gr.Interface( | |
title = title, | |
fn = process_ocr, | |
inputs = [gr.Image()], | |
outputs = [gr.Image(), 'text'], | |
css=css | |
) | |
iface.launch() | |