ultralytics 8.0.30
Docker, rect, data=*.zip updates (#832)
Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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@ -108,6 +108,7 @@ task.
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| overlap_mask | True | masks should overlap during training (segment train only) |
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| mask_ratio | 4 | mask downsample ratio (segment train only) |
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| dropout | 0.0 | use dropout regularization (classify train only) |
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| val | True | validate/test during training |
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### Prediction
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@ -148,7 +149,6 @@ validation dataset and to detect and prevent overfitting.
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| Key | Value | Description |
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|-------------|-------|-----------------------------------------------------------------------------|
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| val | True | validate/test during training |
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| save_json | False | save results to JSON file |
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| save_hybrid | False | save hybrid version of labels (labels + additional predictions) |
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| conf | 0.001 | object confidence threshold for detection (default 0.25 predict, 0.001 val) |
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@ -157,6 +157,7 @@ validation dataset and to detect and prevent overfitting.
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| half | True | use half precision (FP16) |
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| dnn | False | use OpenCV DNN for ONNX inference |
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| plots | False | show plots during training |
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| rect | False | support rectangular evaluation |
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### Export
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@ -222,4 +223,4 @@ it easier to debug and optimize the training process.
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| name | 'exp' | experiment name. `exp` gets automatically incremented if not specified, i.e, `exp`, `exp2` ... |
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| exist_ok | False | whether to overwrite existing experiment |
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| plots | False | save plots during train/val |
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| save | False | save train checkpoints and predict results |
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| save | False | save train checkpoints and predict results |
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