Auto Number Plate Recognition (ANPR), SDK source code

 # install 

pip install marearts-anpr

# code

# pip install marearts-anpr

import cv2

from PIL import Image

from marearts_anpr import ma_anpr_detector

from marearts_anpr import ma_anpr_ocr

from marearts_anpr import marearts_anpr_from_pil

from marearts_anpr import marearts_anpr_from_image_file

from marearts_anpr import marearts_anpr_from_cv2

if __name__ == '__main__':

#################################

## Initiate MareArts ANPR

print("EU ANPR")

user_name = "your_email"

serial_key = "your_serial_key"

detector_model_version = "middle" # Options: refer to detector model table

ocr_model_version = "eu" # Options: refer to ocr model table

# MareArts ANPR Detector Inference

anpr_d = ma_anpr_detector(detector_model_version, user_name, serial_key, conf_thres=0.3, iou_thres=0.5)

# MareArts ANPR OCR Inference

anpr_r = ma_anpr_ocr(ocr_model_version, user_name, serial_key)

#################################

#################################

# Routine Task 1 - Predict from File

image_path = './sample_images/eu_test1.jpg'

output = marearts_anpr_from_image_file(anpr_d, anpr_r, image_path)

print(output)

# Routine Task 2 - Predict from cv2

img = cv2.imread(image_path)

output = marearts_anpr_from_cv2(anpr_d, anpr_r, img)

print(output)

# Routine Task 3 - Predict from Pillow

pil_img = Image.open(image_path)

output = marearts_anpr_from_pil(anpr_d, anpr_r, pil_img)

print(output)

#################################

#################################

## Initiate MareArts ANPR for Korea

print("ANPR Korean")

# user_name, serial_key are already defined

# anpr_d is also already initiated before

ocr_model_version = "kr"

# MareArts ANPR OCR Inference

anpr_r = ma_anpr_ocr(ocr_model_version, user_name, serial_key)

#################################

# Routine Task 1 - Predict from File

image_path = './sample_images/kr_test2.jpg'

output = marearts_anpr_from_image_file(anpr_d, anpr_r, image_path)

print(output)

# Routine Task 2 - Predict from cv2

img = cv2.imread(image_path)

output = marearts_anpr_from_cv2(anpr_d, anpr_r, img)

print(output)

# Routine Task 3 - Predict from Pillow

pil_img = Image.open(image_path)

output = marearts_anpr_from_pil(anpr_d, anpr_r, pil_img)

print(output)

#################################

..

# Ask license is here: https://study.marearts.com/p/anpr-lpr-solution.html

# Live Test is here: https://live.marearts.com