basicsr.models.sr_model

class basicsr.models.sr_model.SRModel(opt)[source]

Bases: BaseModel

Base SR model for single image super-resolution.

dist_validation(dataloader, current_iter, tb_logger, save_img)[source]
feed_data(data)[source]
get_current_visuals()[source]
init_training_settings()[source]
nondist_validation(dataloader, current_iter, tb_logger, save_img)[source]
optimize_parameters(current_iter)[source]
save(epoch, current_iter)[source]

Save networks and training state.

setup_optimizers()[source]
test()[source]
test_selfensemble()[source]