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Florian Schiffel
ICV-mmengine_basecode
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cb7e04d3cfc685c87c4ee943f2d45580fd1e2b4c
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added option to train Faster R-CNN with 2 backbones
main
main
Merge branch 'main' of gitlab.cc-asp.fraunhofer.de:fsl1/icv-mmengine_basecode
removed some asserts to enable tryining with a flexible number of channels
added README for code changes
minor changes to adopt to more channel-combinations
added first color output (fix needed)
cut first 3 channels if necessary
fixed assert mean
added normalization for 22 channels
added mean/std option with len 22
Update is_mlu_available (#1537)
[Feature] Support calculating loss during validation (#1503)
Bump version to 0.10.4 (#1534)
v0.10.4
v0.10.4
[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)
v0.10.3
v0.10.3
[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)
v0.10.2
v0.10.2
[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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