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@@ -46,20 +46,21 @@ conda install pytorch==1.4.0 torchvision -c pytorch
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conda install faiss-cpu -c pytorch
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```
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## Prepare Datasets
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## Quick Start
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[5 steps](./examples/bagtricks/main.py) to implement a SOTA reid model
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- download datasets that you need, [reid_datasets.md](./reid_datasets.md) lists various of datasets and their links.
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- update datasets path at [./lightreid/data/datasets/datasetpaths.yaml](./lightreid/data/datasets/datasetpaths.yaml)
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## Quick Start
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[1 step](./examples/bagtricks_buildwithconfigs) to build a SOTA reid model with configs
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## Implemented reid methods and experimental results
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- [x] [bagtricks](./examples/bagtricks), [bagtricks_buildwithconfigs](./examples/bagtricks_buildwithconfigs)
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- [x] [agw](./examples/agw)
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- [ ] sbs (constructing)
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- [ ] pcb (todo)
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- [ ] mgn (todo)
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- [x] [bagtricks_buildwithconfigs](./examples/bagtricks_buildwithconfigs): easily implement a strong reid baseline
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- [x] [bagtricks_pca][./examples/bagtricks_pca]: reduce feature with PCA, get short feature meanwhile keep strong accuracy
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- [x] [occluded_reid][./examples/occluded_reid]: a simple reid baseline for occluded reid, achieving comparable even better accuracy with existing methods
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- [x] [generalizable_reid][./examples/model_zoo]: a reid model perform well on multiple datasets
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## Acknowledge
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