#3D Models

The alfred-py project provides command line and API tools for deep learning, facilitating tasks like visualization, model conversion to TensorRT, and inference execution. Core utilities enhance workflow efficiency by supporting data formats such as YOLO, VOC, and COCO, and allowing seamless deployment of 3D models. The toolset is frequently updated and supports various datasets including Human3DM and mmpose, ensuring a broad range of user needs are met effectively.

Explore the ACE0 project from the ECCV 2024 paper, designed for scene coordinate reconstruction using incremental learning and innovative relocalization methods. The project offers comprehensive guides for installation and usage, along with features for refining poses, initializing reconstructions, and visualizing results. Benchmarking with Nerfacto and Splatfacto, converting videos to datasets, and exporting 3D models are also supported. Advanced uses include self-supervised relocalization and NeRF model training with Gaussian splatting.