gosseract Alternatives - Go Machine Learning

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Last Commit about 2 months ago

Programming language: Go

License: MIT License

Tags: Machine Learning

Latest version: v2.2.4

gosseract alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view gosseract alternatives based on common mentions on social networks and blogs.

GoLearn

9.7 5.9 gosseract VS GoLearn

General Machine Learning library for Go.
Gorgonia

9.2 8.2 gosseract VS Gorgonia

Gorgonia is a library that helps facilitate machine learning in Go.

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tfgo

8.3 5.6 gosseract VS tfgo

Easy to use Tensorflow bindings: simplifies the usage of the official Tensorflow Go bindings. Define computational graphs in Go, load and execute models trained in Python.
goml

7.9 0.0 gosseract VS goml

On-line Machine Learning in Go
gorse

7.8 4.9 gosseract VS gorse

A High Performance Recommender System Package based on Collaborative Filtering for Go.
bayesian

7.4 0.0 gosseract VS bayesian

Naive Bayesian Classification for Golang.
CloudForest

7.4 0.0 gosseract VS CloudForest

Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
gago

7.3 3.7 gosseract VS gago

Multi-population, flexible, parallel genetic algorithm.
gobrain

6.8 2.1 gosseract VS gobrain

Neural Networks written in go
ocrserver

6.6 0.3 gosseract VS ocrserver

A simple OCR API server, seriously easy to be deployed by Docker and Heroku.
onnx-go

6.1 1.3 gosseract VS onnx-go

Go Interface to Open Neural Network Exchange (ONNX).
go-deep

6.1 0.0 gosseract VS go-deep

A feature-rich neural network library in Go.
sklearn

6.0 0.8 gosseract VS sklearn

partial port of scikit_learn to golang
regommend

6.0 0.0 gosseract VS regommend

Recommendation & collaborative filtering engine
go-galib

5.7 0.0 gosseract VS go-galib

Genetic Algorithms library written in Go / golang
goRecommend

5.3 0.0 gosseract VS goRecommend

Recommendation Algorithms library written in Go.
shield

5.2 0.0 gosseract VS shield

Bayesian text classifier with flexible tokenizers and storage backends for Go
Goptuna

5.1 8.9 gosseract VS Goptuna

Bayesian optimization framework for black-box functions written in Go. Everything will be optimized.
go-fann

4.8 0.0 gosseract VS go-fann

Go bindings for Fast Artificial Neural Networks(FANN) library.
goga

4.5 0.0 gosseract VS goga

Genetic algorithm library for Go.
libsvm

4.3 0.0 gosseract VS libsvm

libsvm golang version derived work based on LIBSVM 3.14.
neat

4.2 0.0 gosseract VS neat

Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).
goscore

4.2 0.0 gosseract VS goscore

Go Scoring API for PMML.
go-pr

3.9 0.0 gosseract VS go-pr

Pattern recognition package in Go lang.
neural-go

3.9 0.0 gosseract VS neural-go

A multilayer perceptron network implemented in Go, with training via backpropagation.
NEUGO

3.8 0.0 gosseract VS NEUGO

NEUGO: Neural Networks in Go
golinear

3.5 0.0 gosseract VS golinear

liblinear bindings for Go
fonet

3.3 0.0 gosseract VS fonet

A Deep Neural Network library written in Go.
Varis

3.1 0.0 gosseract VS Varis

Golang Neural Network.
go-featureprocessing

3.1 5.2 gosseract VS go-featureprocessing

Fast and convenient feature processing for low latency machine leraning in Go.
EAGO

2.9 0.0 gosseract VS EAGO

EAGO: Evolutionary Algorithms in Go
go-cluster

2.9 0.0 gosseract VS go-cluster

Go implementation of the k-modes and k-prototypes clustering algorithms.
godist

2.6 0.0 gosseract VS godist

Various probability distributions, and associated methods.
evoli

2.3 2.4 gosseract VS evoli

Genetic Algorithm and Particle Swarm Optimization library.
probab

2.0 0.0 gosseract VS probab

Probability distribution functions. Bayesian inference. Written in pure Go.
GoMind

1.5 0.0 gosseract VS GoMind

A simplistic Neural Network Library in Go.
randomforest

1.4 0.0 gosseract VS randomforest

Easy to use Random Forest library for Go.
mlgo

1.0 0.0 gosseract VS mlgo

This project aims to provide minimalistic machine learning algorithms in Go.
ddt

0.7 5.8 gosseract VS ddt

Dynamic decision tree, create trees defining customizable rules.

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README

gosseract OCR

Golang OCR package, by using Tesseract C++ library.

OCR Server

Do you just want OCR server, or see the working example of this package? Yes, there is already-made server application, which is seriously easy to deploy!

👉 https://github.com/otiai10/ocrserver

Example

package main

import (
    "fmt"
    "github.com/otiai10/gosseract/v2"
)

func main() {
    client := gosseract.NewClient()
    defer client.Close()
    client.SetImage("path/to/image.png")
    text, _ := client.Text()
    fmt.Println(text)
    // Hello, World!
}

Install

tesseract-ocr, including library and headers
go get -t github.com/otiai10/gosseract

Check Dockerfile for more detail of installation, or you can just try by docker run -it --rm otiai10/gosseract.

Test

In case you have tesseract-ocr on your local, you can just hit

% go test .

Otherwise, if you DON'T want to install tesseract-ocr on your local, kick ./test/runtime which is using Docker and Vagrant to test the source code on some runtimes.

% ./test/runtime --driver docker
% ./test/runtime --driver vagrant

Check ./test/runtimes for more information about runtime tests.

Issues

https://github.com/otiai10/gosseract/issues

gosseract

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