Releases: KaiyangZhou/deep-person-reid
Releases · KaiyangZhou/deep-person-reid
Torchreid v1.0.6
- Removed unused imports/variables.
- Fixed minor bugs.
Basically a more stable version.
Torchreid v1.0.5
Added new dataset, models and tools.
Torchreid v1.0.0
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 touse_gpu
. - In data manager,
batch_size
is changed tobatch_size_train
andbatch_size_test
. - Tensorboard is available.
Torchreid v0.9.1
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
Bug fix: resize image to the target size in the training transformation function
Torchreid v0.8.0
- Add OSNet code and models
Torchreid v0.7.8
- Model zoo is back.
- Some minor updates.
Torchreid v0.7.7
Major updates:
- Added
compute_model_complexity()
. - Added
shufflenetv2
.
Torchreid v0.7.5
Major updates:
- Added person reranking, which can be activated with
rerank=True
inengine.run()
. It only works in the evaluation mode, i.e.test_only=True
. - Added
normalize_feature
toengine.run()
to allow the feature vectors to be normalized with L2 norm before calculating feature distance.