hRSSKJr SSKJrJr SSKJr SSKr\"SS55rg)) annotations) dataclassfield)AnyNc\rSrSr%SrSrS\S'SrS\S'SrS\S'S r S \S 'S r S \S 'Sr S \S'\ RrS\S'S rS \S'S rS \S'SrS\S'SrS\S'\"SS9rS\S'SrS\S'S rS!\S"'S#rS\S$'S%rS&\S''S(rS\S)'SrS\S*'S+rS\S,'S-rS\S.'S/rS\S0'S-rS\S1'S2rS\S3'S4r S\S5'S6r!S \S7'S8r"S\S9'S:r#S\S;'Sr$S\S<'S=r%S\S>'S6r&S \S?'S@r'S\SA'S r(S \SB'SCr)S\SD'SGSEjr*SFr+g)HSolutionConfig a Manages configuration parameters for Ultralytics Vision AI solutions. The SolutionConfig class serves as a centralized configuration container for all the Ultralytics solution modules: https://docs.ultralytics.com/solutions/#solutions. It leverages Python `dataclass` for clear, type-safe, and maintainable parameter definitions. Attributes: source (str, optional): Path to the input source (video, RTSP, etc.). Only usable with Solutions CLI. model (str, optional): Path to the Ultralytics YOLO model to be used for inference. classes (list[int], optional): List of class indices to filter detections. show_conf (bool): Whether to show confidence scores on the visual output. show_labels (bool): Whether to display class labels on visual output. region (list[tuple[int, int]], optional): Polygonal region or line for object counting. colormap (int, optional): OpenCV colormap constant for visual overlays (e.g., cv2.COLORMAP_JET). show_in (bool): Whether to display count number for objects entering the region. show_out (bool): Whether to display count number for objects leaving the region. up_angle (float): Upper angle threshold used in pose-based workouts monitoring. down_angle (int): Lower angle threshold used in pose-based workouts monitoring. kpts (list[int]): Keypoint indices to monitor, e.g., for pose analytics. analytics_type (str): Type of analytics to perform ("line", "area", "bar", "pie", etc.). figsize (tuple[int, int], optional): Size of the matplotlib figure used for analytical plots (width, height). blur_ratio (float): Ratio used to blur objects in the video frames (0.0 to 1.0). vision_point (tuple[int, int]): Reference point for directional tracking or perspective drawing. crop_dir (str): Directory path to save cropped detection images. json_file (str): Path to a JSON file containing data for parking areas. line_width (int): Width for visual display i.e. bounding boxes, keypoints, counts. records (int): Number of detection records to send email alerts. fps (float): Frame rate (Frames Per Second) for speed estimation calculation. max_hist (int): Maximum number of historical points or states stored per tracked object for speed estimation. meter_per_pixel (float): Scale for real-world measurement, used in speed or distance calculations. max_speed (int): Maximum speed limit (e.g., km/h or mph) used in visual alerts or constraints. show (bool): Whether to display the visual output on screen. iou (float): Intersection-over-Union threshold for detection filtering. conf (float): Confidence threshold for keeping predictions. device (str, optional): Device to run inference on (e.g., 'cpu', '0' for CUDA GPU). max_det (int): Maximum number of detections allowed per video frame. half (bool): Whether to use FP16 precision (requires a supported CUDA device). tracker (str): Path to tracking configuration YAML file (e.g., 'botsort.yaml'). verbose (bool): Enable verbose logging output for debugging or diagnostics. data (str): Path to image directory used for similarity search. Methods: update: Update the configuration with user-defined keyword arguments and raise error on invalid keys. Examples: >>> from ultralytics.solutions.config import SolutionConfig >>> cfg = SolutionConfig(model="yolo11n.pt", region=[(0, 0), (100, 0), (100, 100), (0, 100)]) >>> cfg.update(show=False, conf=0.3) >>> print(cfg.model) Nz str | Nonesourcemodelzlist[int] | NoneclassesTbool show_conf show_labelszlist[tuple[int, int]] | Noneregionz int | Nonecolormapshow_inshow_outg b@floatup_angleZint down_anglec /SQ$)N) rV/home/james-whalen/.local/lib/python3.13/site-packages/ultralytics/solutions/config.pySolutionConfig.LsJr)default_factoryz list[int]kptslinestranalytics_type)g)@g@ztuple[int, int] | Nonefigsizeg? blur_ratio)r)ztuple[int, int] vision_pointzcropped-detectionscrop_dir json_file line_widthrecordsg>@fpsmax_histg?meter_per_pixelx max_speedFshowgffffff?ioug?confdevicei,max_dethalfz botsort.yamltrackerverboseimagesdatac UR5H3up#[X5(a[XU5 M#Sn[USU35e U$)zNUpdate configuration parameters with new values provided as keyword arguments.z;https://docs.ultralytics.com/solutions/#solutions-argumentsz' is not a valid solution argument, see )itemshasattrsetattr ValueError)selfkwargskeyvalueurls rupdateSolutionConfig.updatecsM ,,.JCt!!5)S C5(OPSu!UVV ) rr)rFr),__name__ __module__ __qualname____firstlineno____doc__r __annotations__r r rrrcv2COLORMAP_DEEPGREENrrrrrrr#r&r'r(r*r+r,r.r0r1r2r3r5r6r7r8r9r:r;r<r=r?rJ__static_attributes__rrrrr sh2hFJE: $G $ItK+/F (/11Hj1GTHdHeJ,>?D)? NC &1G #1J$,L/,(Hc(IsJGSCHc!OU!IsD$CD%FJGSD$!GS!GTD# rr) __future__r dataclassesrrtypingrrRrrrrrXs/#(  `` `r