Overview
MMFashion is an open-source visual fashion analysis toolbox built on PyTorch, designed for researchers and developers in the field of fashion AI. It supports a wide range of tasks, including fashion attribute prediction, recognition and retrieval, landmark detection, parsing and segmentation, compatibility and recommendation, and virtual try-on. Its modular design allows for flexible customization and extension. The toolbox includes pre-trained models for ease of use and provides comprehensive documentation for getting started, data preparation, and contributing. MMFashion uses Python 3.5+, PyTorch 1.0.0+, and mmcv, and can be installed via git clone and setup.py or using a Docker image. It offers tools for fashion detection, fashion landmarks, and fashion cut analysis, making it a valuable resource for developing AI-powered fashion applications.