677 Open source projects that are alternatives of or similar to Caffe Oneclick

Deformable Convolutional Networks on caffe

Seven Segment Optical Character Recognition

Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE

Noise-Tolerant Paradigm for Training Face Recognition CNNs

A wrapper to work with Tesseract OCR inside PHP.

RObust document image BINarization

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

Implementation of CRAFT Text Detection

Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database

SeqFace : Making full use of sequence information for face recognition

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Reimplementation ResNet on cifar10 with caffe

Text recognition (optical character recognition) with deep learning methods.

Visual Studio Projects for Tessearct and dependencies

A handwriting recognition example for iOS using NeuralNet

Trojan Attack on Neural Network

Caffe for YOLOv2 & YOLO9000

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Automated Testing for Set-Top Boxes and Smart TVs

Deep Learning Benchmarking Suite

The Best Image OCR SDK For BAT

text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Table Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow<2.0 and Sonnet.)

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

A caffe implementation of mobilenet's depthwise convolution layer.

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

Experimental optical character recognition app

Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

ncnn is a high-performance neural network inference framework optimized for the mobile platform

DB (Real-time Scene Text Detection with Differentiable Binarization) implementation in Keras and Tensorflow

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

速度快、准确易用-支持各平台的答题助手-图形界面-多权重答案推荐-自动百度高亮答案

crnn实现水平和垂直方向中文文字识别, 提供在3w多个中文字符训练的水平识别和垂直识别的预训练模型; 欢迎关注,试用和反馈问题... ...

train resnet on imagenet from scratch with caffe

A Swift wrapper around Tesseract for use in iOS, macOS, and Linux applications

Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Keras implementation of Character Region Awareness for Text Detection (CRAFT)

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition

Unofficial PyTorch implementation of 2D Attentional Irregular Scene Text Recognizer

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Trajectory-pooled Deep-Convolutional Descriptors

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

The module extracts text from image using the tesseract-OCR engine. Generally, text present in the images are blur or are of uneven sizes. The image is pre-processed for better comprehension by OCR. This module first makes bounding box for text in images and then normalizes it to 300 dpi, suitable for OCR engine to read.

LexPredict ContraxSuite

A Node.js wrapper for the Tesseract OCR API

Official implementation of Character Region Awareness for Text Detection (CRAFT)

Combine Baidu Research warpctc with Caffe

Android 车牌识别--OCR

NanoNets OCR API Example for Python

Text detection with mainly MSER and SWT

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

Recognize tables and text from scanned images that contain tables. 从包含表格的扫描图片中识别表格和文字