#ObjectDetection #ObjectTracking #SpeedEstimation #yolov8 #yolo #computervision #deeplearning #ai #machinelearning #opencv #opencvpython #pytorch
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Thanks sir, that great work. But, how i can use custome model on this project?
what about using my own video on gogel colab for trying ?
how to increase video speed in this project? me using cpu
hello sir i am getting the error
FileNotFoundError: C:UsersHem RajDesktopVehicle monitoringYOLOv8-DeepSORT-Object-Trackingultralyticsassets does not exist
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
hi i am not able to run this line —-gdown "https://drive.google.com/uc?id=1rjBn8Fl1E_9d0EMVtL24S9aNQOJAveR5&confirm=t"— as i'm getting error for this
hello sir, can i implementation this deepsort in yolov5? thank you
Hello Muhammad Moin, how i can run this model on GPU?
I am facing an error. It is telling me to do "set the environment variable HYDRA_FULL_ERROR=1 for a complete trace. What should i do?
Hi great job done. Is it possible to add in timestamp to make analysis on which time frame has more traffic?
Hi sir, I want to use a custom video with two classes. Can you please help me to count the two objects. I tried running the code but it is giving errors. Please help
great video, which python version did you use?
Can you share me the full code including estimation part as well where it shows the speed of car!
plz share speed estimation code
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.
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?
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'
Sir could you please share the speed estimation code as well
Hey the speed estimation part of code is missing in GitHub can you please add @Muhammad Moin .Thank you!
hi, I got some errors like settings.keys() == defaults.keys()
AttributeError: 'NoneType' object has no attribute 'keys'. Plz help me
thank u
Please how do you get pixel of meter of video?
Thanks sir great work. The speed seems to be low comparing to what it should be in real any explanation please? And i think in the speed estimation speed = distance / time.
Very good
Is there any specific reason for you to use DeepSORT and Is it hard to apply your code to use ByteTrack.
Nice Tutorial
Good explanation Sir