Tutorial 1: 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).

Please refer to the corresponding page for config file structure for different tasks.