DeepBoof
Java library for running and visualizing Deep Neural Networks trained in Torch.
Install / Use
/learn @lessthanoptimal/DeepBoofREADME
DeepBoof is a Java library for running deep neural networks trained using other projects (e.g. Torch and Caffe) with a focus on processing image data. Additional tools include visualization and network training. Image processing is done using BoofCV. While it has been designed to work with Torch and Caffe it does not depend either library for its core functionality.
Installation
Gradle is used to build DeepBoof and will automatically download all dependencies.
Running
To get started classifying images simply load the Gradle project into you favorite IDE (probably IntelliJ or Eclipse) and run ExampleClassifyVggCifar10. This example downloads the network and testing data, then starts the classifier.
Alternatively, you can just build and run any example from the command-line using Gradle directly:
gradle exampleRun -Pwhich=ExampleClassifyCifar10TestSet
Future Work
DeepBoof is in an early state of development. The following are areas it needs the most improvement in:
- Support for Caffe models (already started)
- Native implementations of functions
- GPU implementations of functions
Related Skills
node-connect
343.1kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
90.0kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
343.1kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
343.1kQQBot 富媒体收发能力。使用 <qqmedia> 标签，系统根据文件扩展名自动识别类型（图片/语音/视频/文件）。
