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