Note

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

mmcls.utils.load_json_log¶

mmcls.utils.load_json_log(json_log)[source]¶

load and convert json_logs to log_dicts.

Parameters

json_log (str) – The path of the json log file.

Returns

Key is the epoch, value is a sub dict. The keys in each sub dict are different metrics, e.g. memory, bbox_mAP, and the value is a list of corresponding values in all iterations in this epoch.

# An example output
{
    1: {'iter': [100, 200, 300], 'loss': [6.94, 6.73, 6.53]},
    2: {'iter': [100, 200, 300], 'loss': [6.33, 6.20, 6.07]},
    ...
}

Return type

dict[int, dict[str, list]]