Object Counting using YOLOv8 not working properly when multiple objects(same objects) passes at the same time through the line

Asad127 commented 1 month ago

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[X] I have searched the YOLOv8 issues and found no similar bug report.

YOLOv8 Component

Integrations

Bug

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Minimal Reproducible Example

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Are you willing to submit a PR?

[X] Yes I'd like to help by submitting a PR!

github-actions[bot] commented 1 month ago

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glenn-jocher commented 1 month ago

@Asad127 thank you for reporting this issue with object counting in YOLOv8. To help us diagnose and resolve the problem effectively, could you please provide a minimal reproducible example? This will allow us to better understand the context and replicate the issue on our end. You can find guidance on creating a reproducible example here: Minimum Reproducible Example.

Additionally, please ensure that you are using the latest version of the YOLOv8 package, as updates often include important bug fixes and improvements.

In the meantime, here's a quick example of how you might set up object counting with a line to ensure proper functionality:

import cv2
from ultralytics import YOLO, solutions

model = YOLO("yolov8n.pt")
cap = cv2.VideoCapture("path/to/video/file.mp4")
assert cap.isOpened(), "Error reading video file"
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))

# Define line points
line_points = [(20, 400), (1080, 400)]

# Video writer
video_writer = cv2.VideoWriter("object_counting_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))

# Init Object Counter
counter = solutions.ObjectCounter(
    view_img=True,
    reg_pts=line_points,
    classes_names=model.names,
    draw_tracks=True,
    line_thickness=2,
)

while cap.isOpened():
    success, im0 = cap.read()
    if not success:
        print("Video frame is empty or video processing has been successfully completed.")
        break
    tracks = model.track(im0, persist=True, show=False)

    im0 = counter.start_counting(im0, tracks)
    video_writer.write(im0)

cap.release()
video_writer.release()
cv2.destroyAllWindows()

This script sets up a line-based counting region and processes each frame to count objects crossing the line. If you continue to experience issues, please share more details or any error messages you encounter.

Looking forward to your PR and further details to help resolve this! 😊

Asad127 commented 1 month ago

@glenn-jocher Thanks for your response. This scripts work well on the video where objects are at a distance from each other but it completely fails when multiple objects simultaneously pass the line. In this case, the number of In and Out objects are incorrect. I have a video link for your reference. https://drive.google.com/file/d/1-3zzWI6dKyM1qektSuVS0A8BnySk_nRD/view?usp=sharing

glenn-jocher commented 1 month ago

Thank you for providing the video link, @Asad127. It’s crucial to ensure that our object counting solution can handle scenarios with multiple objects crossing the line simultaneously.

To address this, we recommend the following steps:

Update to the Latest Version: Ensure you are using the latest version of the YOLOv8 package, as updates may include important fixes and improvements.
Adjust Tracking Parameters: Fine-tuning the tracking parameters can help improve accuracy in crowded scenes. For example, you can adjust the iou and conf thresholds to better handle overlapping objects.
Provide a Reproducible Example: Sharing a minimal reproducible example will help us diagnose the issue more effectively. You can find guidance on creating one here: Minimum Reproducible Example.

Here’s an enhanced example that includes parameter adjustments:

import cv2
from ultralytics import YOLO, solutions

model = YOLO("yolov8n.pt")
cap = cv2.VideoCapture("path/to/video/file.mp4")
assert cap.isOpened(), "Error reading video file"
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))

# Define line points
line_points = [(20, 400), (1080, 400)]

# Video writer
video_writer = cv2.VideoWriter("object_counting_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))

# Init Object Counter
counter = solutions.ObjectCounter(
    view_img=True,
    reg_pts=line_points,
    classes_names=model.names,
    draw_tracks=True,
    line_thickness=2,
)

while cap.isOpened():
    success, im0 = cap.read()
    if not success:
        print("Video frame is empty or video processing has been successfully completed.")
        break
    tracks = model.track(im0, persist=True, show=False, conf=0.4, iou=0.6)

    im0 = counter.start_counting(im0, tracks)
    video_writer.write(im0)

cap.release()
video_writer.release()
cv2.destroyAllWindows()

Please try these suggestions and let us know if the issue persists. Your feedback is invaluable in helping us improve our solutions. 😊

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