The line is not being displayed

[Rasantis]

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Question

thats my code:
`
import cv2
from ultralytics import YOLO
import supervision as sv
import sys

def main(VIDEO_SOURCE):

# Points to draw trigger lines
# Because at the current there is no implementation from supervision
# to switch counter for IN/OUT result, and the LineZoneAnnotator results
# depends on results from LineZone then we have to swap START
# and END points to swap IN/OUT result
# Road from EAST
END_E = sv.Point(1750, 800)
START_E = sv.Point(1280, 520)

# Road from WEST
START_W = sv.Point(500, 1000)
END_W = sv.Point(200, 580)

# Road from NORTH
END_N = sv.Point(1280, 520)
START_N = sv.Point(200, 580)

# Road from SOUTH
START_S = sv.Point(1750, 800)
END_S = sv.Point(500, 1000)


# car, motocycle, bus, truck
CLASS_ID = [0,2, 3, 5, 7]

# Load Model
model = YOLO("yolov8x.pt")

# Get video size to export to video file
video_info = sv.VideoInfo.from_video_path(VIDEO_SOURCE)
video_size = (video_info.width, video_info.height)
out = cv2.VideoWriter("output.avi", cv2.VideoWriter_fourcc(*'MJPG'), 20, (video_size))

# Init trigger lines
line_zone_E = sv.LineZone(start=START_E, end=END_E)
line_zone_W = sv.LineZone(start=START_W, end=END_W)
line_zone_N = sv.LineZone(start=START_N, end=END_N)
line_zone_S = sv.LineZone(start=START_S, end=END_S)

# Init annotator to draw trigger lines
line_zone_annotator = sv.LineZoneAnnotator(thickness=5, color=sv.Color.from_hex(color_hex="#00ff00"),  text_thickness=2, text_scale=2)

# Init box to draw objects
box_annotator = sv.BoxAnnotator()

for result in model.track(VIDEO_SOURCE, show=True, stream=True, classes=CLASS_ID):
    # Get frame
    frame = result.orig_img
    detections = sv.Detections.from_ultralytics(result)

    # Set box ID so that we can count object when it cross trigger lines
    if result.boxes.id is not None:
        detections.tracker_id = result.boxes.id.cpu().numpy().astype(int)
    
    # Draw box around objects
    frame = box_annotator.annotate(scene=frame, detections=detections)
    
    # Set triggers
    line_zone_E.trigger(detections=detections)
    line_zone_W.trigger(detections=detections)
    line_zone_N.trigger(detections=detections)
    line_zone_S.trigger(detections=detections)

    # Draw trigger lines
    line_zone_annotator.annotate(frame=frame, line_counter=line_zone_E)
    line_zone_annotator.annotate(frame=frame, line_counter=line_zone_W)
    line_zone_annotator.annotate(frame=frame, line_counter=line_zone_N)
    line_zone_annotator.annotate(frame=frame, line_counter=line_zone_S)

    # Write to file
    out.write(frame)
    # Show results as processing
    cv2.imshow("result", frame)

    if(cv2.waitKey(30) == 27):
        break

if len(sys.argv) == 2:
main(sys.argv[1])`

I´m using supervision==0.17.0 and ultralytics==8.1.34, i´m using this "old code" because i need the line counter solution without depending of a center id or someting like this.... i need the counter throught the bounding box 

The lines of the counting are not being displayed in the frame...

Additional

No response

[SkalskiP]

Hi @Rasantis 👋🏻 Let me convert this issue into a discussion and move it to the Q&A section.

[SkalskiP]

Hi @Rasantis

1. Looks to me that you need to update those lines below:

# OLD

line_zone_annotator.annotate(frame=frame, line_counter=line_zone_E)
line_zone_annotator.annotate(frame=frame, line_counter=line_zone_W)
line_zone_annotator.annotate(frame=frame, line_counter=line_zone_N)
line_zone_annotator.annotate(frame=frame, line_counter=line_zone_S)

# NEW

frame = line_zone_annotator.annotate(frame=frame, line_counter=line_zone_E)
frame = line_zone_annotator.annotate(frame=frame, line_counter=line_zone_W)
frame = line_zone_annotator.annotate(frame=frame, line_counter=line_zone_N)
frame = line_zone_annotator.annotate(frame=frame, line_counter=line_zone_S)

2. I don't know what you mean by:

i´m using this "old code" because i need the line counter solution without depending of a center id or someting like this.... i need the counter throught the bounding box

3. I recommend using sv.VideoSink over cv2.VideoWriter.