40ff3e5daf41522c553d3508385e55d1d83176ce,mmdet/apis/train.py,,_non_dist_train,#Any#Any#Any#Any#Any#Any#Any#,184

Before Change

                    timestamp=None,
                    meta=None):
    if validate:
        raise NotImplementedError("Built-in validation is not implemented "
                                  "yet in not-distributed training. Use "
                                  "distributed training or test.py and "
                                  "*eval.py scripts instead.")
    // prepare data loaders
    dataset = dataset if isinstance(dataset, (list, tuple)) else [dataset]
    data_loaders = [
        build_dataloader(

After Change

                                   cfg.checkpoint_config, cfg.log_config)

    // register eval hooks
    if validate:
        val_dataset = build_dataset(cfg.data.val, dict(test_mode=True))
        val_dataloader = build_dataloader(
            val_dataset,
            imgs_per_gpu=1,
            workers_per_gpu=cfg.data.workers_per_gpu,
            dist=False,
            shuffle=False)
        eval_cfg = cfg.get("evaluation", {})
        runner.register_hook(EvalHook(val_dataloader, **eval_cfg))

    if cfg.resume_from:
        runner.resume(cfg.resume_from)

Instances