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import torch
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
import cv2
import re
from PIL import Image
import gradio as gr
import numpy as np
import yolov5
model = yolov5.load('yolo-v5.pt')
model.conf = 0.80
processor = TrOCRProcessor.from_pretrained('microsoft/trocr-base-printed')
ocr = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-base-printed')
def extract_coordinates(img, model):
results = model(img)
cordinates = results.xyxy[0][:, :-1]
return cordinates
def read_plate_number(results, frame, cordinates):
plate_numbers = []
n = len(results)
for i in range(n):
row = cordinates[i]
if row[4] >= 0.5:
xmin, ymin, xmax, ymax = map(int, row[:4])
plate = frame[ymin:ymax, xmin:xmax]
pixel_values = processor(images=plate, return_tensors="pt").pixel_values
generated_ids = ocr.generate(pixel_values)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
cleaned_text = clean_plate_number(generated_text)
plate_numbers.append(cleaned_text)
return plate_numbers
def clean_plate_number(text):
cleaned_text = re.sub(r'[^a-zA-Z0-9]', '', text)
if any(char.isalpha() for char in cleaned_text) and any(char.isdigit() for char in cleaned_text):
plate_number = cleaned_text[-7:]
return plate_number
return ""
def perform_ocr_on_image(image):
img = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
results = model(img)
cordinates = extract_coordinates(img, model)
if len(cordinates) == 0:
return "Nenhuma placa encontrada."
plate_number = read_plate_number(results.pred[0], img, cordinates)
if plate_number:
return plate_number[0].lower()
else:
return "Não foi possível reconhecer a placa."
interface = gr.Interface(fn=perform_ocr_on_image,
inputs=gr.Image(type="pil"),
outputs="text",
title="Reconhecimento de Placas de Automóveis",
description="Envie uma imagem e receba o número da placa.")
interface.launch() |