demo.py

import gradio as gr
import requests
from PIL import Image
import io
import cv2
import numpy as np

alpr_count = 0
def plot_one_box(x, img, color=None, label=None, score=None, line_thickness=3):
	# Plots one bounding box on image img
    tl = line_thickness or round(0.002 * (img.shape[0] + img.shape[1]) / 2) + 1  # line/font thickness
    color = color
    c1, c2 = (int(x[0]), int(x[1])), (int(x[2])+int(x[0]), int(x[3])+int(x[1]))
    cv2.rectangle(img, c1, c2, color, thickness=tl, lineType=cv2.LINE_AA)
    if label:
        tf = max(tl - 1, 1)  # font thickness
        t_size = cv2.getTextSize(label, 0, fontScale=tl / 3, thickness=tf)[0]
        c2 = c1[0] + t_size[0], c1[1] - t_size[1] - 3
        cv2.rectangle(img, c1, c2, color, -1, cv2.LINE_AA)  # filled
        cv2.putText(img, label, (c1[0], c1[1] - 2), 0, tl / 3, [0, 0, 0], thickness=tf, lineType=cv2.LINE_AA)

        pro = f"{score:.3f}"
        t_size = cv2.getTextSize(pro, 0, fontScale=tl / 3, thickness=tf)[0]
        c1 = c2
        c2 = c1[0] + t_size[0], c1[1] + t_size[1] + 3
        cv2.rectangle(img, c1, c2, [0, 255, 255], -1, cv2.LINE_AA)  # filled
        cv2.putText(img, pro, (c1[0], c2[1] - 2), 0, tl / 3, [0, 0, 0], thickness=tf, lineType=cv2.LINE_AA)
    return img
    
def alpr(frame):
    global alpr_count
    
    alpr_count = alpr_count + 1
    print("alpr_count", alpr_count) 
    url = "http://127.0.0.1:8080/alpr"
    file = {'file': open(frame, 'rb')}

    r = requests.post(url=url, files=file)
   
    alpr_output = None
    result = r.json().get('result')
    plate_number = r.json().get('plate number')
    box = r.json().get('coordinate')
    pro = r.json().get('score')
    # print("\n number: ", plate_number)
    # print("\n coordinate: ", box)
    # print("\n score: ", pro)
    try:
        image = cv2.imread(frame, cv2.IMREAD_COLOR)
        if image is None:
            print('image is null')
            sys.exit()
        image = cv2.resize(image, (1024, 640))
        for alpr in plate_number:
            # print(plate_number)
            image = plot_one_box(box[alpr], image, label=plate_number[alpr], score=pro[alpr], color=[0, 255, 0], line_thickness=1)
        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        
        alpr_output = image.copy()
        
    except:
        pass

    return alpr_output
    
with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
            alpr_image_input = gr.Image(type='filepath', height=300)
            gr.Examples(['alpr_examples/test4.jpeg', 'alpr_examples/test5.jpeg', 'alpr_examples/test3.jpg', 'alpr_examples/test2.jpg'], 
                        inputs=alpr_image_input)
            alpr_confirmation_button = gr.Button("Confirm")
        with gr.Column():
            alpr_output = gr.Image(type="numpy")

    alpr_confirmation_button.click(alpr, inputs=alpr_image_input, outputs=alpr_output)

demo.launch(server_name="0.0.0.0", server_port=7860)