ocrserver
goRecommend
| ocrserver | goRecommend | |
|---|---|---|
| 2 | - | |
| 631 | 203 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | almost 10 years ago | |
| Go | Go | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ocrserver
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How to write a specific text recognition code?
For example, in about 5 minutes I was able to find ocrserver, hosted here. Drop your image into that and whitelist it to just numbers and you get the following output: { "result": "3\n7 2\n2 5\n120\n4\n12092\n42093 1 4\n12094\n7\n224\n2\n5 3\n25", "version": "0.2.0" }
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https://np.reddit.com/r/AskProgramming/comments/nztt2k/how_to_write_a_specific_text_recognition_code/h1t0lkx/
For example, in about 5 minutes I was able to find ocrserver, hosted here. Drop your image into that and whitelist it to just numbers and you get the following output:
goRecommend
We haven't tracked posts mentioning goRecommend yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
go-pr - Pattern recognition package in Go lang.
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
gobrain - Neural Networks written in go
tfgo - Tensorflow + Go, the gopher way
Varis - Golang Neural Network
CloudForest - Ensembles of decision trees in go/golang.
godist - Probability distributions and associated methods in Go
libsvm - libsvm go version
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