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Created with Raphaël 2.2.06Sep12Aug22Jul19Jun181730May1723Apr221286Mar26Feb241824Jan2311226Dec2322Nov21201483231Oct26181098627Sep252421181615109854130Aug282523221817873131Jul28262524181715141211543130Jun2928272524161514128632130May292827262523191696428Apr27262524232120141211107654330Mar2928261917161514131210987652127Feb2423222120191615141387653131Jan29201613121096430Dec282726232221201916131211108765429Nov25242322211918171598632131Oct2827262421191817161514131211109826Sep221915141397131Aug302928262524232221191817161513119842130Jul272221201915141312865430Jun292827added option to train Faster R-CNN with 2 backbonesmainmainMerge branch 'main' of gitlab.cc-asp.fraunhofer.de:fsl1/icv-mmengine_basecoderemoved some asserts to enable tryining with a flexible number of channelsadded README for code changesminor changes to adopt to more channel-combinationsadded first color output (fix needed)cut first 3 channels if necessaryfixed assert meanadded normalization for 22 channelsadded mean/std option with len 22Update is_mlu_available (#1537)[Feature] Support calculating loss during validation (#1503)Bump version to 0.10.4 (#1534)v0.10.4v0.10.4[Fix] Delete frozen parameters when using `paramwise_cfg` (#1441)Fix a typo (#1532)[Enhance] Enable `exclude_frozen_parameters` for `DeepSpeedEngine._zero3_consolidated_16bit_state_dict` (#1517)Perform evaluation upon training completion (#1529)Add the supported pytorch versions in README (#1512)Fix config of readthedocs (#1511)[Feature] Support custom `artifact_location` in MLflowVisBackend (#1505)Fix docstring of Config (#1506)Remove codeowners file (#1496)Fix typos and remove fullwidth unicode chars (#1488)[Fix] Fix warning capture (#1494)fix typo (#1481)Refine mmengine introduction (#1479)Bump version to 0.10.3 (#1478)v0.10.3v0.10.3[Feature] Support save_optimizer=False for DeepSpeed (#1474)Fix a typo in visualizer.py (#1476)[Feature] Add the support for musa device support (#1453)[Fix] Fix dist.collect_results to keep all ranks' elements (#1469)[Fix] Fix the resume of iteration (#1471)[Fix] Fix Config.to_dict (#1465)[Docs] Add the usage of ProfilerHook (#1466)[Docs] Fix nnodes in the doc of ddp training (#1462)bump version to v0.10.2 (#1460)v0.10.2v0.10.2[Fix] Support multi-node distributed training with NPU backend (#1459)[Fix] Fix placement policy in ColossalAIStrategy (#1440)[Fix] Fix load_model_state_dict in BaseStrategy (#1447)[Fix] Use ImportError to cover ModuleNotFoundError raised by opencv-python (#1438)

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