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Releases: KaiyangZhou/deep-person-reid

Torchreid v1.0.6

23 Oct 16:23
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  • Removed unused imports/variables.
  • Fixed minor bugs.

Basically a more stable version.

Torchreid v1.0.5

23 Oct 15:15
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Added new dataset, models and tools.

Torchreid v1.0.0

26 Aug 12:32
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Major updates:

  • Significant changes to "scripts/main.py", where most arguments in argparse are replaced with config.
  • Add config files which contain predefined training params to configs/.
  • In data manager and engine, use_cpu is changed to use_gpu.
  • In data manager, batch_size is changed to batch_size_train and batch_size_test.
  • Tensorboard is available.

Torchreid v0.9.1

04 Aug 09:46
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Main update:

  • Plot ranks in a single figure (currently support image-reid)
  • Visualize activation maps to understand where CNNs focus on to extract features for reid.

Torchreid v0.8.1

08 Jul 14:51
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Bug fix: resize image to the target size in the training transformation function

Torchreid v0.8.0

03 Jul 12:54
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  • Add OSNet code and models

Torchreid v0.7.8

28 May 22:09
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  • Model zoo is back.
  • Some minor updates.

Torchreid v0.7.7

24 May 15:33
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Major updates:

  • Added compute_model_complexity().
  • Added shufflenetv2.

Torchreid v0.7.5

09 May 22:53
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Major updates:

  • Added person reranking, which can be activated with rerank=True in engine.run(). It only works in the evaluation mode, i.e. test_only=True.
  • Added normalize_feature to engine.run() to allow the feature vectors to be normalized with L2 norm before calculating feature distance.

Torchreid v0.7.4

27 Apr 22:35
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Major changes:

  • Added conda install instructions.
  • Fixed a bug in learning rate scheduler dcd8da5
  • Fixed a bug in combineall bb6dc46