🔪 Killer features
- Support for `PolygonZone` and `PolygonZoneAnnotator` 🔥
<details>
<summary>👉 Code example</summary>
python
import numpy as np
import supervision as sv
from ultralytics import YOLO
initiate polygon zone
polygon = np.array([
[1900, 1250],
[2350, 1250],
[3500, 2160],
[1250, 2160]
])
video_info = sv.VideoInfo.from_video_path(MALL_VIDEO_PATH)
zone = sv.PolygonZone(polygon=polygon, frame_resolution_wh=video_info.resolution_wh)
initiate annotators
box_annotator = sv.BoxAnnotator(thickness=4, text_thickness=4, text_scale=2)
zone_annotator = sv.PolygonZoneAnnotator(zone=zone, color=sv.Color.white(), thickness=6, text_thickness=6, text_scale=4)
extract video frame
generator = sv.get_video_frames_generator(MALL_VIDEO_PATH)
iterator = iter(generator)
frame = next(iterator)
detect
model = YOLO('yolov8s.pt')
results = model(frame, imgsz=1280)[0]
detections = sv.Detections.from_yolov8(results)
detections = detections[detections.class_id == 0]
zone.trigger(detections=detections)
annotate
box_annotator = sv.BoxAnnotator(thickness=4, text_thickness=4, text_scale=2)
labels = [f"{model.names[class_id]} {confidence:0.2f}" for _, confidence, class_id, _ in detections]
frame = box_annotator.annotate(scene=frame, detections=detections, labels=labels)
frame = zone_annotator.annotate(scene=frame)
</details>
- Advanced `vs.Detections` filtering with pandas-like API.
python