{"repo":"parkpow/deep-license-plate-recognition","free":true,"listed":false,"github":"https://github.com/parkpow/deep-license-plate-recognition","clone":"git clone https://github.com/parkpow/deep-license-plate-recognition.git","description":"Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.","language":"C++","stars":668,"topics":["ocr","machine-learning","deep-learning","anpr","alpr","plate-detection","bounding-boxes","license-plate-recognition","number-plate-recognition"],"license":"MIT","category":"machine-learning","readme_excerpt":"Plate Recognizer examples and utilities This repository contains example clients, integrations, and operational utilities for Plate Recognizer Snapshot, Stream, Blur, and ParkPow. It does not contain the recognition models themselves. Use the quickstart below to recognize a plate in an image, or jump to the repository map to find a tool for another workflow. Image recognition quickstart Prerequisites - Python 3.8 or newer - A Plate Recognizer API token, or a running self-hosted Snapshot SDK Clone the repository and install the two dependencies required by the image client: Run recognition against the cloud API: Replace MY API KEY locally and do not commit your token. To use a running self-hosted Snapshot SDK instead: The command returns JSON containing the recognized plate, confidence scores, and bounding box. The complete response schema is in the Snapshot API reference. Common image workflows Limit recognition to one or more regions: Process several files or a shell glob: Run python plate recognition.py --help for all available output, annotation, cropping, and engine options. See the bulk-processing guide for a longer walkthrough. Repository map Goal Tool or directory Documentation --- --- --- Recognize plates in images plate recognition.py Quickstart Redact plates in images number plate redaction.py Redaction Process an FTP or SFTP server ftp and sftp processor.py FTP and SFTP Monitor and transfer new images transfer.py Automatic image transfer Operate on Stream videos an","default_branch":null,"files":null,"tree":[],"storefront":"/r/parkpow","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/parkpow/deep-license-plate-recognition/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}