ONNX Analyzer

A web application for analyzing and visualizing ONNX models, similar to Netron.

Features

• Load and visualize ONNX models in a top-to-bottom format
• Support for both float and quantized models
• Quantize float models to INT8 precision using ONNX quantizer (QDQ format)
• Layer-wise error analysis comparing weights before and after quantization
• Visualization of weight and activation distributions as histograms

Installation

1. Clone this repository
2. Install dependencies:

   pip install -r requirements.txt
   

Usage

1. Start the server:

   python app.py
   

2. Open your browser and navigate to http://localhost:5000
3. Upload an ONNX model to analyze

Project Structure

• app.py: Main Flask application
• static/: Static files (CSS, JavaScript)
• templates/: HTML templates
• utils/: Utility functions for ONNX model processing
  • model_analyzer.py: Functions for model analysis
  • quantizer.py: Functions for model quantization
  • visualizer.py: Functions for visualization

Requirements

• Python 3.8+
• See requirements.txt for Python dependencies