{"repo":"DoubangoTelecom/ultimateALPR-SDK","free":true,"listed":false,"github":"https://github.com/DoubangoTelecom/ultimateALPR-SDK","clone":"git clone https://github.com/DoubangoTelecom/ultimateALPR-SDK.git","description":"World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).","language":"C++","stars":741,"topics":["artificial-intelligence","alpr","anpr","anpr-sdk","machine-learning","deep-learning","license-plate","license-plate-recognition","license-plate-detection","raspberry-pi"],"license":null,"category":"machine-learning","readme_excerpt":"- Getting started - Android - Sample applications - Benchmark ( Java ) - VideoParallel ( Java ) - VideoSequential ( Java ) - ImageSnap ( Java ) - Trying the samples - Adding the SDK to your project - Using the Java API - Raspberry Pi (Raspbian OS), Linux, NVIDIA Jetson, Windows and others - Sample applications - Benchmark ( C++ ) - Recognizer ( C++ , C# , Java and Python ) - Using the C++ API - Getting help - Online web demo at https://www.doubango.org/webapps/alpr/ - Full documentation for the SDK at https://www.doubango.org/SDKs/anpr/docs/ - Supported languages (API): C++ , C# , Java and Python - Open source Computer Vision Library: https://github.com/DoubangoTelecom/compv Keywords: Image Enhancement for Night-Vision (IENV) , License Plate Recognition (LPR) , License Plate Country Identification (LPCI) , Vehicle Color Recognition (VCR) , Vehicle Make Model Recognition (VMMR) , Vehicle Body Style Recognition (VBSR) , Vehicle Direction Tracking (VDT) and Vehicle Speed Estimation (VSE) Have you ever seen a deep learning based ANPR/ALPR (Automatic Number/License Plate Recognition) engine running at 64fps on a $99 ARM device (Khadas VIM3, 720p video resolution)? UltimateALPR is the fastest ANPR/ALPR implementation you'll find on the market. Being fast is important but being accurate is crucial. We use state of the art deep learning techniques to offer unmatched accuracy and precision. As a comparison this is #33 times faster than OpenALPR on Android. (see benchmark section for m","default_branch":null,"files":null,"tree":[],"storefront":"/r/DoubangoTelecom","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/DoubangoTelecom/ultimateALPR-SDK/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."}