ultralytics/docs/en/macros/solutions-args.md

{% macro param_table(params=None) %}

Argument	Type	Default	Description

{%- set default_params = { "model": ["str", "None", "Path to Ultralytics YOLO Model File."], "region": ["list", "[(20, 400), (1260, 400)]", "List of points defining the counting region."], "show_in": ["bool", "True", "Flag to control whether to display the in counts on the video stream."], "show_out": ["bool", "True", "Flag to control whether to display the out counts on the video stream."], "analytics_type": ["str", "line", "Type of graph, i.e., line, bar, area, or pie."], "colormap": ["int", "cv2.COLORMAP_JET", "Colormap to use for the heatmap."], "json_file": ["str", "None", "Path to the JSON file that contains all parking coordinates data."], "up_angle": ["float", "145.0", "Angle threshold for the 'up' pose."], "kpts": ["list[int, int, int]", "[6, 8, 10]", "List of keypoints used for monitoring workouts. These keypoints correspond to body joints or parts, such as shoulders, elbows, and wrists, for exercises like push-ups, pull-ups, squats, ab-workouts."], "down_angle": ["float", "90.0", "Angle threshold for the 'down' pose."], "blur_ratio": ["float", "0.5", "Adjusts percentage of blur intensity, with values in range 0.1 - 1.0."], "crop_dir": ["str", ""cropped-detections"", "Directory name for storing cropped detections."], "records": ["int", "5", "Total detections count to trigger an email with security alarm system."], "vision_point": ["tuple[int, int]", "(50, 50)", "The point where vision will track objects and draw paths using VisionEye Solution."], "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. Useful for immediate visual feedback during development or testing."], "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. Provides visual customization for clarity."] } %}

{%- 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 %}