ultralytics 8.0.33 security updates and fixes (#896)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Mert Can Demir <validatedev@gmail.com>
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docs/cfg.md
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docs/cfg.md
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@ -154,18 +154,19 @@ process include the size and composition of the validation dataset and the speci
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is important to carefully tune and experiment with these settings to ensure that the model is performing well on the
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validation dataset and to detect and prevent overfitting.
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| Key | Value | Description |
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|-------------|-------|-----------------------------------------------------------------|
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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 |
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| iou | 0.6 | intersection over union (IoU) threshold for NMS |
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| max_det | 300 | maximum number of detections per image |
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| half | True | use half precision (FP16) |
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| device | null | device to run on, i.e. cuda device=0/1/2/3 or device=cpu |
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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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| Key | Value | Description |
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|-------------|-------|--------------------------------------------------------------------|
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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 |
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| iou | 0.6 | intersection over union (IoU) threshold for NMS |
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| max_det | 300 | maximum number of detections per image |
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| half | True | use half precision (FP16) |
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| device | null | device to run on, i.e. cuda device=0/1/2/3 or device=cpu |
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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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| split | val | dataset split to use for validation, i.e. 'val', 'test' or 'train' |
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### Export
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