Tag: ONNX

All the articles with the tag "ONNX".

• Rust Implementation of RMBG Inference

  Published date: 2 Apr, 2025

  This article introduces how to implement RMBG (Remove Image Background) inference using Rust. By loading an ONNX model, it preprocesses the input image (resize, normalization), completes the model inference to generate a mask image, and uses the mask to remove the background or blend transparency. Finally, it optimizes the mask denormalization algorithm to improve background purity, suitable for use in fields like posters, games, etc.

• A New Choice for Efficient Inference in Rust: Model Deployment Practice Based on ONNX Runtime

  Published date: 18 Mar, 2025

  This article introduces how to deploy models using Rust and ONNX Runtime, taking ResNet50 as an example, detailing the entire process of model export, loading, data preprocessing, inference, and post-processing, while analyzing its advantages and disadvantages.