ultralytics 8.0.30 Docker, rect, data=*.zip updates (#832)

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This commit is contained in:
Glenn Jocher
2023-02-06 21:57:10 +04:00
committed by GitHub
parent 09265b17d7
commit 64f247d692
17 changed files with 67 additions and 43 deletions

View File

@ -108,6 +108,7 @@ task.
| overlap_mask | True | masks should overlap during training (segment train only) |
| mask_ratio | 4 | mask downsample ratio (segment train only) |
| dropout | 0.0 | use dropout regularization (classify train only) |
| val | True | validate/test during training |
### Prediction
@ -148,7 +149,6 @@ validation dataset and to detect and prevent overfitting.
| Key | Value | Description |
|-------------|-------|-----------------------------------------------------------------------------|
| val | True | validate/test during training |
| save_json | False | save results to JSON file |
| save_hybrid | False | save hybrid version of labels (labels + additional predictions) |
| conf | 0.001 | object confidence threshold for detection (default 0.25 predict, 0.001 val) |
@ -157,6 +157,7 @@ validation dataset and to detect and prevent overfitting.
| half | True | use half precision (FP16) |
| dnn | False | use OpenCV DNN for ONNX inference |
| plots | False | show plots during training |
| rect | False | support rectangular evaluation |
### Export
@ -222,4 +223,4 @@ it easier to debug and optimize the training process.
| name | 'exp' | experiment name. `exp` gets automatically incremented if not specified, i.e, `exp`, `exp2` ... |
| exist_ok | False | whether to overwrite existing experiment |
| plots | False | save plots during train/val |
| save | False | save train checkpoints and predict results |
| save | False | save train checkpoints and predict results |