updated the amount of macros available in the macros folder (#16086)
Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Francesco Mattioli <Francesco.mttl@gmail.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -82,23 +82,7 @@ Object blurring with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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### Arguments `model.predict`
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| Name | Type | Default | Description |
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| --------------- | -------------- | ---------------------- | -------------------------------------------------------------------------- |
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| `source` | `str` | `'ultralytics/assets'` | source directory for images or videos |
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| `conf` | `float` | `0.25` | object confidence threshold for detection |
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| `iou` | `float` | `0.7` | intersection over union (IoU) threshold for NMS |
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| `imgsz` | `int or tuple` | `640` | image size as scalar or (h, w) list, i.e. (640, 480) |
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| `half` | `bool` | `False` | use half precision (FP16) |
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| `device` | `None or str` | `None` | device to run on, i.e. cuda device=0/1/2/3 or device=cpu |
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| `max_det` | `int` | `300` | maximum number of detections per image |
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| `vid_stride` | `bool` | `False` | video frame-rate stride |
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| `stream_buffer` | `bool` | `False` | buffer all streaming frames (True) or return the most recent frame (False) |
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| `visualize` | `bool` | `False` | visualize model features |
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| `augment` | `bool` | `False` | apply image augmentation to prediction sources |
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| `agnostic_nms` | `bool` | `False` | class-agnostic NMS |
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| `classes` | `list[int]` | `None` | filter results by class, i.e. classes=0, or classes=[0,2,3] |
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| `retina_masks` | `bool` | `False` | use high-resolution segmentation masks |
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| `embed` | `list[int]` | `None` | return feature vectors/embeddings from given layers |
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{% include "macros/predict-args.md" %}
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## FAQ
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