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docs: add trackzone to solutions cli enum (#24194)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Murat Raimbekov 2026-04-10 20:24:18 +06:00 committed by GitHub
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2
docs/en/solutions/index.md
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@ -141,7 +141,7 @@ For more details, refer to the [`SolutionResults` class documentation](https://d
Most of the Solutions can be used directly through the command-line interface, including:
`Count`, `Crop`, `Blur`, `Workout`, `Heatmap`, `Isegment`, `Visioneye`, `Speed`, `Queue`, `Analytics`, `Inference`
`Count`, `Crop`, `Blur`, `Workout`, `Heatmap`, `Isegment`, `Visioneye`, `Speed`, `Queue`, `Analytics`, `Inference`, `Trackzone`
**Syntax**

30
docs/en/usage/callbacks.md
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@ -87,22 +87,22 @@ Below are all the supported callbacks. For more details, refer to the callbacks
### Trainer Callbacks
| Callback | Description |
| --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| `on_pretrain_routine_start` | Triggered at the beginning of the pre-training routine, before data loading and model setup. |
| `on_pretrain_routine_end` | Triggered at the end of the pre-training routine, after data loading and model setup are complete. |
| `on_train_start` | Triggered when the training starts, before the first [epoch](https://www.ultralytics.com/glossary/epoch) begins. |
| `on_train_epoch_start` | Triggered at the start of each training [epoch](https://www.ultralytics.com/glossary/epoch), before batch iteration begins. |
| `on_train_batch_start` | Triggered at the start of each training batch, before the forward pass. |
| `optimizer_step` | Triggered during the optimizer step. Reserved for custom integrations; not called by the default training loop. |
| `on_before_zero_grad` | Triggered before gradients are zeroed. Reserved for custom integrations; not called by the default training loop. |
| `on_train_batch_end` | Triggered at the end of each training batch, after the backward pass. The optimizer step may be deferred due to gradient accumulation. |
| `on_train_epoch_end` | Triggered at the end of each training epoch, after all batches are processed but **before** validation. Validation metrics and fitness may not be available yet. |
| `on_model_save` | Triggered when the model checkpoint is saved, after validation. |
| Callback | Description |
| --------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `on_pretrain_routine_start` | Triggered at the beginning of the pre-training routine, before data loading and model setup. |
| `on_pretrain_routine_end` | Triggered at the end of the pre-training routine, after data loading and model setup are complete. |
| `on_train_start` | Triggered when the training starts, before the first [epoch](https://www.ultralytics.com/glossary/epoch) begins. |
| `on_train_epoch_start` | Triggered at the start of each training [epoch](https://www.ultralytics.com/glossary/epoch), before batch iteration begins. |
| `on_train_batch_start` | Triggered at the start of each training batch, before the forward pass. |
| `optimizer_step` | Triggered during the optimizer step. Reserved for custom integrations; not called by the default training loop. |
| `on_before_zero_grad` | Triggered before gradients are zeroed. Reserved for custom integrations; not called by the default training loop. |
| `on_train_batch_end` | Triggered at the end of each training batch, after the backward pass. The optimizer step may be deferred due to gradient accumulation. |
| `on_train_epoch_end` | Triggered at the end of each training epoch, after all batches are processed but **before** validation. Validation metrics and fitness may not be available yet. |
| `on_model_save` | Triggered when the model checkpoint is saved, after validation. |
| `on_fit_epoch_end` | Triggered at the end of each fit epoch (train + val), **after** validation and any checkpoint save. Validation metrics are available, and fitness is available for the per-epoch training call. This callback is also called during final best-model evaluation, where no checkpoint save occurs and fitness may not be present. |
| `on_train_end` | Triggered when the training process ends, after final evaluation of the best model. |
| `on_params_update` | Triggered when model parameters are updated. Reserved for custom integrations; not called by the default training loop. |
| `teardown` | Triggered when the training process is being cleaned up. |
| `on_train_end` | Triggered when the training process ends, after final evaluation of the best model. |
| `on_params_update` | Triggered when model parameters are updated. Reserved for custom integrations; not called by the default training loop. |
| `teardown` | Triggered when the training process is being cleaned up. |
### Validator Callbacks

4
ultralytics/utils/callbacks/base.py
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@ -43,7 +43,9 @@ def on_before_zero_grad(trainer):
def on_train_batch_end(trainer):
"""Called at the end of each training batch, after the backward pass. Optimizer step may be deferred by accumulation."""
"""Called at the end of each training batch, after the backward pass. Optimizer step may be deferred by
accumulation.
"""
pass