Popularity
7.0
Stable
Activity
0.0
Stable
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17
137
Programming language: Go
License: MIT License
Tags:
Machine Learning
Latest version: v1.1
ocrserver alternatives and similar packages
Based on the "Machine Learning" category.
Alternatively, view ocrserver alternatives based on common mentions on social networks and blogs.
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Gorgonia
Gorgonia is a library that helps facilitate machine learning in Go. -
gosseract
Go package for OCR (Optical Character Recognition), by using Tesseract C++ library -
m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies -
gago
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution) -
onnx-go
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library. -
shield
Bayesian text classifier with flexible tokenizers and storage backends for Go -
neat
Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). -
go-featureprocessing
๐ฅ Fast, simple sklearn-like feature processing for Go -
neural-go
A multilayer perceptron network implemented in Go, with training via backpropagation. -
go-cluster
k-modes and k-prototypes clustering algorithms implementation in Go
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README
ocrserver
Simple OCR server, as a small working sample for gosseract.
Try now here https://ocr-example.herokuapp.com/, and deploy your own now.
Deploy to Heroku
# Get the code
% git clone [email protected]:otiai10/ocrserver.git
% cd ocrserver
# Make your app
% heroku login
% heroku create
# Deploy the container
% heroku container:login
% heroku container:push web
# Enjoy it!
% heroku open
cf. heroku cli
Quick Start
Ready-Made Docker Image
% docker run -p 8080:8080 otiai10/ocrserver
# open http://localhost:8080
cf. docker
Development with Docker Image
% docker-compose up
# open http://localhost:8080
You need more languages?
% docker-compose build --build-arg LOAD_LANG=rus
% docker-compose up
cf. docker-compose
Manual Setup
If you have tesseract-ocr and library files on your machine
% go get github.com/otiai10/ocrserver/...
% PORT=8080 ocrserver
# open http://localhost:8080
cf. gosseract