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tools/accuracy_checker/accuracy_checker/adapters/README.md

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@@ -43,6 +43,7 @@ AccuracyChecker supports following set of adapters:
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* `joining_method` - method used to join embeddings (optional, supported methods are `sum` and `concatenation`, default - `sum`).
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* `target_out` - target output layer name (Optional, if not provided first in the model will be used).
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* `keep_shape` - allow keeping initial shape for predicted embedding (Optional, default `False`, it means that model output will be flattenized).
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* `mean_pooling` - average the embeddings of all tokens from last_hidden_state (Optional, default `False`)
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* `yolo_v2` - converting output of YOLO v2 family models to `DetectionPrediction` representation.
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* `classes` - number of detection classes (default 20).
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* `anchors` - anchor values provided as comma-separated list or one of precomputed:

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