menta tű szorongás ocr using gpu Fejetlen motor Maradványok
Symmetry | Free Full-Text | Improving the Accuracy of Tesseract 4.0 OCR Engine Using Convolution-Based Preprocessing
Optical Character Recognition with Hugging Face Spaces - Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development
Real-time Object Detection + OCR using YOLO v7 in Google Colab Free GPU (ANPR / ALPR Tutorial 2023) — Theos AI
Increase efficiency using PyTorch + GPU for inference - Ray Core - Ray
Optical Character Recognition using a Neural Network implemented on a GPU - YouTube
Improving Text Detection Speed with OpenCV and GPUs - PyImageSearch
GPU image pre-processing in Spark OCR 3.1.0 | by Mykola Melnyk | spark-nlp | Medium
Optical Character Recognition using PaddleOCR | LearnOpenCV
GPU image pre-processing in Spark OCR 3.1.0 | by Mykola Melnyk | spark-nlp | Medium
License Plate Detection and OCR on an NVIDIA Jetson
High-speed image acquisition with real-time GPU processing
Getting started with EasyOCR for Optical Character Recognition - PyImageSearch
OCR (Optical Character Recognition) from Images with Transformers | News @ machinelearning.sg
Baidu Research on Twitter: "Text recognition is too slow? Check out our open-sourced ultra-lightweight OCR model on PaddlePaddle. 1⃣8.6M of model size 2⃣Supports Chinese & English 3⃣57ms inference time on GPU V100,
Does ocrd_calamari use GPU using ocrd/all:maximum-cuda image? · Issue #68 · OCR-D/ocrd_calamari · GitHub
Comparison of execution time of text line segmentation on CPU over GPU | Download Table
REST API for optical character recognition
Optimizing PPOCR Recognition Time in Python | by Bhargav Sridhar | Quantrium.ai | Medium
GPU image pre-processing in Spark OCR 3.1.0 | by Mykola Melnyk | spark-nlp | Medium
Our Search for the Best OCR Tool, and What We Found - Features - Source: An OpenNews project
Benchmarking rxNeuralNet for OCR (Revolutions)
Keras OCR | Extracting Text from Images using OCR Model
Training with GPU · Issue #8 · Calamari-OCR/calamari · GitHub
Optical character recognition with TensorFlow Lite: A new example app — The TensorFlow Blog