MareArts anpr 1 year subscription
Caution: Please ensure that your email address is entered correctly. We send the license key through your email.
๐ง๐ป๐ป GitHub Repository
https://github.com/MareArts/MareArts-ANPR/tree/main๐ช๐บ ANPR EU (European Union)
Auto Number Plate Recognition for EU countries
๐ฆ Available Countries: (We are adding more contries.)
๐ฆ๐ฑ Albania ๐จ๐ฟ Czechia ๐ฆ๐ฉ Andorra ๐ฉ๐ฐ Denmark ๐ฆ๐น Austria ๐ซ๐ฎ Finland ๐ง๐ช Belgium ๐ซ๐ท France ๐ง๐ฆ Bosnia and Herzegovina ๐ฉ๐ช Germany ๐ง๐ฌ Bulgaria ๐ฌ๐ท Greece ๐ญ๐ท Croatia ๐ญ๐บ Hungary ๐จ๐พ Cyprus ๐ฎ๐ช Ireland
๐ฐ๐ท ANPR Korea
ํ๊ตญ ์๋์ฐจ ๋ฒํธํ ์ธ์ ์๋ฃจ์
๐ฆ ์ธ์ ๊ฐ๋ฅ ๋ฒํธํ ์ข ๋ฅ
๋ค์๊ณผ ๊ฐ์ ๋ํ์ ์ธ 6๊ฐ์ง ์ข ๋ฅ๋ฑ์ ๋ฒํธํ ์ธ์ ๊ฐ๋ฅํฉ๋๋ค. (ํน์, ์คํ ๋ฐ์ด ๋ฒํธํ์ ์ถ๊ฐ ์ค์ ๋๋ค.)
๐ค Live Test
- Performance can be improved with your usage data. ๐๐ป♂️
- ๐ง Email us for further information.
- MareArts ๐ฌ Live
๐บ ANPR Result Videos
Check the license plate recognition results in these YouTube videos.
๐ง๐ป๐ป Using SDK
๐ฌ pip install marearts-anpr
# pip install marearts-anpr
from marearts_anpr import MareArtsAnpr
# nation is "eu" or "kr"
predictor = MareArtsAnpr(nation=nation, id=user_id, key=license_key, display_license_info=True)
# prediction by image path
result = predictor.predict_from_path(img_path)
# prediction by opencv image
result = predictor.predict_from_cv2(img)
๐ฌ Returns
- results: Contains OCR text, probabilities, and detection locations.
- Processing Speeds: Provided for license plate detection and OCR.
- Usage: Current day’s usage and maximum usage.
# Example 1 JSON
{
"results": [{
"ocr": "KU17ZY", "ocr_conf": 99,
"ltrb": [619, 327, 775, 393], "ltrb_conf": 93
}],
"ltrb_proc_sec": 0.14, "ocr_proc_sec": 0.34,
"usage": "1", "day_max": "10000"
}
๐ชช License Key Information
For private keys: https://study.marearts.com/p/anpr-lpr-solution.html
Public key limits: 1000 requests per day.
# Public keys
user-id: marearts@public
x-api-key: J4K9L2Wory34@G7T1Y8rt-PP83uSSvkV3Z6ioSTR!
ETC
# box display code with label
ex_box_display.py
More detail for MareArts ANPR click here ๐
๐๐ป♂️ Thank you!
No comments:
Post a Comment