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true	Learn how to use Ultralytics YOLOv8 for precise object counting in specified regions, enhancing efficiency across various applications.	object counting, regions, YOLOv8, computer vision, Ultralytics, efficiency, accuracy, automation, real-time, applications, surveillance, monitoring

Object Counting in Different Regions using Ultralytics YOLO 🚀

What is Object Counting in Regions?

Object counting in regions with Ultralytics YOLOv8 involves precisely determining the number of objects within specified areas using advanced computer vision. This approach is valuable for optimizing processes, enhancing security, and improving efficiency in various applications.

Watch: Object Counting in Different Regions using Ultralytics YOLO11 | Ultralytics Solutions 🚀

Advantages of Object Counting in Regions?

Precision and Accuracy: Object counting in regions with advanced computer vision ensures precise and accurate counts, minimizing errors often associated with manual counting.
Efficiency Improvement: Automated object counting enhances operational efficiency, providing real-time results and streamlining processes across different applications.
Versatility and Application: The versatility of object counting in regions makes it applicable across various domains, from manufacturing and surveillance to traffic monitoring, contributing to its widespread utility and effectiveness.

Real World Applications

Retail	Market Streets

People Counting in Different Region using Ultralytics YOLOv8	Crowd Counting in Different Region using Ultralytics YOLOv8

!!! example "Region Counting Example"

=== "Python"

    ```python
    import cv2

    from ultralytics import solutions

    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 region points
    # region_points = [(20, 400), (1080, 400), (1080, 360), (20, 360)] # Pass region as list

    # pass region as dictionary
    region_points = {
        "region-01": [(50, 50), (250, 50), (250, 250), (50, 250)],
        "region-02": [(640, 640), (780, 640), (780, 720), (640, 720)],
    }

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

    # Init Object Counter
    region = solutions.RegionCounter(
        show=True,
        region=region_points,
        model="yolo11n.pt",
    )

    # Process video
    while cap.isOpened():
        success, im0 = cap.read()
        if not success:
            print("Video frame is empty or video processing has been successfully completed.")
            break
        im0 = region.count(im0)
        video_writer.write(im0)

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

!!! tip "Ultralytics Example Code"

  The Ultralytics region counting module is available in our [examples section](https://github.com/ultralytics/ultralytics/blob/main/examples/YOLOv8-Region-Counter/yolov8_region_counter.py). You can explore this example for code customization and modify it to suit your specific use case.

Argument `RegionCounter`

Here's a table with the RegionCounter arguments:

Name	Type	Default	Description
`model`	`str`	`None`	Path to Ultralytics YOLO Model File
`region`	`list`	`[(20, 400), (1260, 400)]`	List of points defining the counting region.
`line_width`	`int`	`2`	Line thickness for bounding boxes.
`show`	`bool`	`False`	Flag to control whether to display the video stream.

FAQ

What is object counting in specified regions using Ultralytics YOLOv8?

Object counting in specified regions with Ultralytics YOLOv8 involves detecting and tallying the number of objects within defined areas using advanced computer vision. This precise method enhances efficiency and accuracy across various applications like manufacturing, surveillance, and traffic monitoring.

How do I run the object counting script with Ultralytics YOLOv8?

Follow these steps to run object counting in Ultralytics YOLOv8:

Clone the Ultralytics repository and navigate to the directory:

git clone https://github.com/ultralytics/ultralytics
cd ultralytics/examples/YOLOv8-Region-Counter

Execute the region counting script:

python yolov8_region_counter.py --source "path/to/video.mp4" --save-img

For more options, visit the Run Region Counting section.

Why should I use Ultralytics YOLOv8 for object counting in regions?

Using Ultralytics YOLOv8 for object counting in regions offers several advantages:

Precision and Accuracy: Minimizes errors often seen in manual counting.
Efficiency Improvement: Provides real-time results and streamlines processes.
Versatility and Application: Applies to various domains, enhancing its utility.

Explore deeper benefits in the Advantages section.

Can the defined regions be adjusted during video playback?

Yes, with Ultralytics YOLOv8, regions can be interactively moved during video playback. Simply click and drag with the left mouse button to reposition the region. This feature enhances flexibility for dynamic environments. Learn more in the tip section for movable regions.

What are some real-world applications of object counting in regions?

Object counting with Ultralytics YOLOv8 can be applied to numerous real-world scenarios:

Retail: Counting people for foot traffic analysis.
Market Streets: Crowd density management.

Explore more examples in the Real World Applications section.

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