Track & Count Objects using YOLOv9 & Supervision

preview_player
Показать описание
#pyresearch

🚀 Exciting News in Computer Vision! 🤖✨ Check out our latest project on Detection, Tracking, and Counting with YOLOv9 and Supervision! 🎥🔍

🌟 Features:
1️⃣ Object detection with YOLOv9
2️⃣ Real-time object tracking
3️⃣ Object counting, including full area counting
4️⃣ Extending Supervision's Detections for YOLOv9 results
5️⃣ Video annotation and processing techniques


#ComputerVision
#OpenCV

#computervision #machinelearning #opencv #deeplearning #artificialintelligence #nlp #datascience
Рекомендации по теме
Комментарии
Автор

Can you post a video of this repo with live camera detection. It helps a lot.

hbkhaswanth
Автор

bro kindly do a video on yolo world training on custom dataset and increasing the accuracy of detection.

hemachandhers
Автор

from utils import TryExcept
ModuleNotFoundError: No module named 'utils' <- how can i resolve it?

ddoqj
Автор

Can I know the reason why the size of model results is '608' not '640' in process_video callback function?

ddoqj
Автор

Instead of saving the tracking results as a separate file in TARGET_VIDEO_PATH, is there a way to copy the frames and display them directly in imshow in cv2 in supervision?

ddoqj
Автор

Why is it not working with camera? when I set "SOURCE_VIDEO_PATH = 0" it starts the camera but the next second without any error. Also how can we stop the tracking line that is being drawn on the object, means I only want bounding box with tracking id.

Thanks

muhammadbilalhaneefqureshi
Автор

Please make object detection playlist for beginner where from we can start, , , you have such like tutorial please make a playlist

mohammedriad
Автор

How can I calculate FPS (Frames Per Second)?

ddoqj
Автор

can you make some streamlit web app for this types of project?

mdriad