Note

You are reading the documentation for MMEditing 0.x, which will soon be deprecated by the end of 2022. We recommend you upgrade to MMEditing 1.0 to enjoy fruitful new features and better performance brought by OpenMMLab 2.0. Check out the changelog, code and documentation of MMEditing 1.0 for more details.

Learn about Configs

We use python files as our config system. You can find all the provided configs under $MMEditing/configs.

Config Name Style

We follow the below style to name config files. Contributors are advised to follow the same style.

{model}_[model setting]_{backbone}_[refiner]_[norm setting]_[misc]_[gpu x batch_per_gpu]_{schedule}_{dataset}

{xxx} is required field and [yyy] is optional.

• {model}: model type like srcnn, dim, etc.

• [model setting]: specific setting for some model, like resolution for input images, stage name for training, etc.

• {backbone}: backbone type like r50 (ResNet-50), x101 (ResNeXt-101).

• [refiner]: refiner type like pln (Plain Refiner).

• [norm_setting]: bn (Batch Normalization) is used unless specified, other norm layer type could be gn (Group Normalization), syncbn (Synchronized Batch Normalization).

• [misc]: miscellaneous setting/plugins of model, e.g. dconv, gcb, attention, albu, mstrain.

• [gpu x batch_per_gpu]: GPUs and samples per GPU, 8x2 is used by default.

• {schedule}: training schedule, 20k, 100k, etc. 20k means 20,000 iterations. 100k means 100,000 iterations.

• {dataset}: dataset like places (for inpainting), comp1k (for matting), div2k (for restoration) and paired (for generation).