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{% macro param_table(params=None) %}
Argument | Type | Default | Description |
---|
{%- set default_params = {
"source": ["str", "None", "Specifies the source directory for images or videos. Supports file paths, URLs, and video streams."],
"persist": ["bool", "False", "Enables persistent tracking of objects between frames, maintaining IDs across video sequences."],
"stream": ["bool", "False", "Treats the input source as a continuous video stream for real-time processing."],
"tracker": ["str", "'botsort.yaml'", "Specifies the tracking algorithm to use, e.g., bytetrack.yaml
or botsort.yaml
."],
"conf": ["float", "0.3", "Sets the confidence threshold for detections; lower values allow more objects to be tracked but may include false positives."],
"iou": ["float", "0.5", "Sets the Intersection over Union (IoU) threshold for filtering overlapping detections."],
"classes": ["list", "None", "Filters results by class index. For example, classes=[0, 2, 3]
only tracks the specified classes."],
"verbose": ["bool", "True", "Controls the display of tracking results, providing a visual output of tracked objects."],
"device": ["str", "None", "Specifies the device for inference (e.g., cpu
, cuda:0
or 0
). Allows users to select between CPU, a specific GPU, or other compute devices for model execution."],
"show": ["bool", "False", "If True
, displays the annotated images or videos in a window for immediate visual feedback."],
"line_width": ["None or int", "None", "Specifies the line width of bounding boxes. If None
, the line width is automatically adjusted based on the image size."]
} %}
{%- if not params %}
{%- for param, details in default_params.items() %}
| {{ param }}
| {{ details[0] }}
| {{ details[1] }}
| {{ details[2] }} |
{%- endfor %}
{%- else %}
{%- for param in params %}
{%- if param in default_params %}
| {{ param }}
| {{ default_params[param][0] }}
| {{ default_params[param][1] }}
| {{ default_params[param][2] }} |
{%- endif %}
{%- endfor %}
{%- endif %}
{% endmacro %}
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Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with Azure Cloud Storage!
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Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with your S3 compatible storage!
Are you sure you want to delete this access key?