rename lib to opengait
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@@ -36,7 +36,7 @@
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### model_cfg
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* Model to be trained
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> * Args
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> * model : Model type, please refer to [Model Library](../lib/modeling/models) for the supported values.
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> * model : Model type, please refer to [Model Library](../opengait/modeling/models) for the supported values.
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> * **others** : Please refer to the [Training Configuration File of Corresponding Model](../config).
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----
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### evaluator_cfg
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@@ -51,7 +51,7 @@
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> - type: The name of sampler. Choose `InferenceSampler`.
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> - sample_type: In general, we use `all_ordered` to input all frames by its natural order, which makes sure the tests are consistent.
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> - batch_size: `int` values.
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> - **others**: Please refer to [data.sampler](../lib/data/sampler.py) and [data.collate_fn](../lib/data/collate_fn.py)
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> - **others**: Please refer to [data.sampler](../opengait/data/sampler.py) and [data.collate_fn](../opengait/data/collate_fn.py)
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> * transform: Support `BaseSilCuttingTransform`, `BaseSilTransform`. The difference between them is `BaseSilCuttingTransform` cut out the black pixels on both sides horizontally.
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> * metric: `euc` or `cos`, generally, `euc` performs better.
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@@ -73,7 +73,7 @@
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> - batch_size: *[P,K]* where `P` denotes the subjects in training batch while the `K` represents the sequences every subject owns. **Example**:
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> - 8
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> - 16
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> - **others**: Please refer to [data.sampler](../lib/data/sampler.py) and [data.collate_fn](../lib/data/collate_fn.py).
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> - **others**: Please refer to [data.sampler](../opengait/data/sampler.py) and [data.collate_fn](../opengait/data/collate_fn.py).
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> * **others**: Please refer to `evaluator_cfg`.
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---
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**Note**:
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