blueoil
  • 1. Installation
  • 2. Getting started tutorials
  • 3. Usage Guide
  • 4. FAQ
  • 5. Converter Documentation
  • 6. Quantize Documentation
  • 7. Specification
  • 8. API Reference
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  • Blueoil – An efficient neural network generator
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Blueoil – An efficient neural network generator¶

  • 1. Installation
    • 1.1. Prerequisites
    • 1.2. Install / Uninstall Blueoil
    • 1.3. Setup an FPGA Board
    • 1.4. [OPTIONAL] Create your own Linux image on microSD card
    • 1.5. Install required packages
    • 1.6. Other Information
  • 2. Getting started tutorials
    • 2.1. Training for Basic Classification
    • 2.2. Training for Object Detection
    • 2.3. Training for Semantic Segmentation
    • 2.4. Training for Keypoint Detection
    • 2.5. Run a trained neural network on the FPGA board
  • 3. Usage Guide
    • 3.1. Prepare training dataset
    • 3.2. Generate a configuration file
    • 3.3. Train a neural network
    • 3.4. Convert your training result to FPGA ready format
    • 3.5. Time measurement
  • 4. FAQ
    • 4.1. Connection
    • 4.2. OS
    • 4.3. Errors
  • 5. Converter Documentation
    • 5.1. Overview
    • 5.2. Current acceptable graph representation
    • 5.3. Installation
    • 5.4. Getting Started
    • 5.5. Custom project generation & Optimizations
    • 5.6. Prepare input directory and data
    • 5.7. Prepare output directory
    • 5.8. Get results
    • 5.9. Shared libraries
    • 5.10. Archive file
    • 5.11. Supported Ops
  • 6. Quantize Documentation
    • 6.1. Weight quantization
    • 6.2. Activation quantization
    • 6.3. Simple Quantized network
  • 7. Specification
    • 7.1. Network model’s name, version and structure
    • 7.2. Network specification
    • 7.3. Output Data Specification
    • 7.4. Format Specification
  • 8. API Reference
    • 8.1. blueoil
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