NewOCR
javacpp-presets
NewOCR | javacpp-presets | |
---|---|---|
1 | 9 | |
59 | 2,585 | |
- | 1.1% | |
10.0 | 8.0 | |
about 2 years ago | 8 days ago | |
Java | Java | |
MIT License | GNU General Public License v3.0 or later |
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.
NewOCR
-
Any good acceptable pure Java OCR libraries?
A friend's pet project: https://github.com/MSPaintIDE/NewOCR
javacpp-presets
-
Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
JavaCPP and presets for working with JNI
- Any good acceptable pure Java OCR libraries?
- image/video streaming library for kotlin?
- OCR, find text in image library ?
-
Which library is h264_nvenc found under?
Specifically looking at https://github.com/bytedeco/javacpp-presets/pull/492
- Does Java has similar project like this one in C#? (ml, data)
-
How to download a Youtube video in MP3-format
You would still want to use an mp3 encoding library. javacpp is active and often recommended.
-
should i use java as gui or use just use python as gui and training and testing model
I experienced such a bad time last time I tried to make a Python UI with Kivy that next time I’m definitely going with JavaFX and the CPython javacpp-preset to run the deep learning code.
-
Is there any remotely modern +working alternative to integrating MP3 or OGG Vorbis support?
How about https://github.com/bytedeco/javacpp-presets/tree/master/ffmpeg
What are some alternatives?
react-native-tesseract-ocr - Tesseract OCR wrapper for React Native
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
hms-ml-demo - 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.
JavaCV - Java interface to OpenCV, FFmpeg, and more
react-native-mlkit-ocr - Google on-device MLKit Text Recognition for React Native
youtubedl-android - youtube-dl for android
android-ocr - Tesseract based OCR for android
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
CleanSCAN - A simple, smart and efficient document scanner for Android
opus-java - Opus java binaries
Design Patterns - Design patterns implemented in Java
api-swgoh-help - Java client wrapper for the API at https://api.swgoh.help