Welcome to MMFewShot’s documentation!¶ 开始你的第一步 依赖 安装流程 从零开始设置脚本 准备环境 安装 MMFewShot 另一种选择： Docker 镜像 验证 准备数据集 Test a model Train a model Train with a single GPU Train on CPU Train with multiple GPUs Train with multiple machines Launch multiple jobs on a single machine Model Zoo Few Shot Classification Model Zoo Few Shot Detection Model Zoo 分类教程 Tutorial 0: Overview of MMFewShot Classification Design of Data Sampling Design of Models API Design of Meta Testing Tutorial 1: Learn about Configs Modify config through script arguments Config Name Style An Example of Baseline FAQ Tutorial 2: Adding New Dataset Customize datasets by reorganizing data Customize datasets sampling Tutorial 3: Customize Models Add a new classifier Add a new backbone Add new heads Add new loss Tutorial 4: Customize Runtime Settings Customize optimization settings Customize training schedules Customize workflow Customize hooks Customize Meta Testing 检测教程 Tutorial 0: Overview of MMFewShot Detection Design of data flow Tutorial 1: Learn about Configs Modify a config through script arguments Config File Naming Convention An Example of TFA FAQ Tutorial 2: Adding New Dataset Customize Dataset Customize Dataset Wrapper Customize Dataloader Wrapper Tutorial 3: Customize Models Develop new components Customize frozen parameters Customize a query-support based detector Tutorial 4: Customize Runtime Settings Customize optimization settings Customize training schedules Customize workflow Customize hooks 说明 Changelog Frequently Asked Questions MMCV Installation PyTorch/CUDA Environment Training Evaluation 语言切换 English 简体中文 接口文档（英文） mmfewshot.classification classification.apis classification.core evaluation classification.datasets classification.models backbones classifier heads losses utils classification.utils mmfewshot.detection detection.apis detection.core evaluation utils detection.datasets detection.models backbones dense_heads detectors losses roi_heads utils detection.utils mmfewshot.utils Indices and tables¶ 索引 搜索页面