[Tin tức] Object Tracking with YOLOv8: Vehicles Tracking, Counting (Entering & Leaving) and Speed Estimation



#ObjectDetection #ObjectTracking #SpeedEstimation #yolov8 #yolo #computervision #deeplearning #ai #machinelearning #opencv #opencvpython #pytorch
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27 bình luận về “[Tin tức] Object Tracking with YOLOv8: Vehicles Tracking, Counting (Entering & Leaving) and Speed Estimation”

  1. Premium Courses:
    ⭐Enroll in YOLO-NAS, Segment Anything Model, ChatGPT with WebApps Development (13$): https://www.udemy.com/course/yolo-nas-object-detection-tracking-web-app-in-python-2023/?couponCode=YOLO113OFFER

    ⭐Enroll in YOLO-NAS Object Detection, Tracking Course with over 14+ Real World Projects (13$): https://www.udemy.com/course/yolo-nas-the-ultimate-course-for-object-detection-tracking/?couponCode=YOLO213OFFER

    ⭐Enroll in YOLOv8 Object Detection, Tracking and Web App Development Course with 17+ Real World Projects (13$) : https://www.udemy.com/course/yolov8-the-ultimate-course-for-object-detection-tracking/?couponCode=YOLO313OFFER

    ⭐Enroll in YOLOv7, YOLOv8, YOLONAS Object Detection, Tracking, Pose Estimation and Web App Development Course with 23+ Real World Projects (13$): https://www.udemy.com/course/yolov7-object-detection-tracking-with-web-app-development/?couponCode=YOLO413OFFER

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  2. Hello Muhammad, great work, I am seeing some obvious forgotten variable, which by chance I am working on a solution. The perspective has a direct influence on screen speed, but if you do a perspective transform (which by now would be manual input) you can get the bird view of the camera. The result will be very distorted, but it will allow to proportionate detection velocity of the detections.

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  3. Hi, I want to get all the detected object information per frame. So, in one frame if there is 2 car and 1 person detected it would print:
    frame 1, car 1(tracking ID), bbox info, other metdata (color of the car, etc.), timestamp,….
    frame 1, car 2…..
    frame 1, person 1….
    frame 2….

    Like this. I am trying to do that from the write results script, but it writes a summary of the frame. Could you please help me how to do it?

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  4. I followed your instructions and now it broke my Python and Yolov8 installation. Why did your code update my global Python configuration? Good news, I can run your example. Bad news, I can't run anything else. I can't figure out how to get the speed estimation like in the video title, where is this?

    from deep_sort_pytorch.utils.parser import get_config

    ModuleNotFoundError: No module named 'deep_sort_pytorch'

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