Welcome to MMRotate’s documentation!¶ Learn the Basics Learn the Basics Get Started Prerequisites Installation A from-scratch setup script Prepare environment Install MMRotate Another option: Docker Image Verification Dataset Preparation Test a model Train a model Train with a single GPU Train with multiple GPUs Train with multiple machines Manage jobs with Slurm Launch multiple jobs on a single machine Benchmark and Model Zoo Results on DOTA v1.0 Tutorials Tutorial 1: Learn about Configs Modify a config through script arguments Config file naming convention An example of RotatedRetinaNet FAQ Tutorial 2: Customize Datasets Support new data format Customize datasets by dataset wrappers Tutorial 3: Customize Models Develop new components Tutorial 4: Customize Runtime Settings Customize optimization settings Customize training schedules Customize workflow Customize hooks Notes Changelog v0.2.0 (30/3/2022) v0.1.1 (14/3/2022) Frequently Asked Questions MMCV Installation PyTorch/CUDA Environment E2CNN Training Evaluation Switch Language English 简体中文 API Reference mmrotate.apis mmrotate.core anchor bbox patch evaluation post_processing mmrotate.datasets datasets pipelines mmrotate.models detectors backbones necks dense_heads roi_heads losses utils mmrotate.utils Indices and tables¶ Index Search Page