Plate OCR
A Mobilenet based, single IL car plate OCR
Installation
Currently plt-ocr is intended to use on CPU machine (GPU support is coming soon). To install plt-ocr on a CPU run:
pip3 install plt-ocr
pip3 install torch --index-url https://download.pytorch.org/whl/cpu
Usage
Command line
If you have a car plate image named plate.jpg
You can run pltocr car.jpg and get
{"prediction": "70660202", "confidence": 0.9978833775525012}
Python
import json
from PIL import Image
from plt_ocr.model import OCR
img = Image.open(plate_path)
model = OCR()
result = model(img)
print(json.dumps(result.__dict__))
Related
- Detecty is a Mobilenet based single car plate detection model that works well with plt-ocr.
- cars.vardale.org is a website that uses both detecty and plt-ocr.
Release files for plt-ocr 0.0.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| plt_ocr-0.0.20.tar.gz | 8.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| plt_ocr-0.0.20-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:17.7 MB
Release files / plt_ocr-0.0.20.tar.gz
| Download URL | plt_ocr-0.0.20.tar.gz |
|---|---|
| Size | 8.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.10.13 Linux/5.3.0-28-generic
|
Release files / plt_ocr-0.0.20-py3-none-any.whl
| Download URL | plt_ocr-0.0.20-py3-none-any.whl |
|---|---|
| Size | 8.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
11a6f4eb355ee318c32a0cd3da46ebd5dc151201b18644dcd34797f6b598660d
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.10.13 Linux/5.3.0-28-generic
|