Vehicles speed calculation with real-time YOLO v4 

Thnx! I have founded place from original video ("AIRE DE SERVICE DE L'ABIS") on google maps.

This task can be solved with same approach but you need to project frame pixels to relief. In this repository projection not implemented

Yes, You can use this project on Jetson - the TensorRT backend for YOLO is included. But in real time on Jetson Nano it works only with yolo4-tiny or yolo5n models

Скорость считается не в рамках белой области а на всём кадре. Белая область показывает 4 точки на кадре, которые были руками поставлены в соответствие географическим координатам на карте (наример в google earth). Затем эти 4 пары координат (гео - пиксели) ручками вводятся в исходниках (см. CarsCounting.cpp). А по 4-м парам точек можно найти персективное преобразование из одной лоскости в другую (плоскость поверхности земли в плоскость поверхности этого же участка Земли на кадре). Таким образом, мы можем любую точку на кадре, которая находится на поверхности дороги, перевести в географические координаты. Далее уже дело техники: для каждого объекта есть траектория в пикселях -> траектория в гео координатах -> считаем скорость. Считать скорость можно тоже по-разному, в ростейшем случае по формуле равномерного прмолинейного движения. Но в реальности для получения точных результатов надо будет предпринять намного больше усилий, учесть дисторсию камеры, усложнить модель движения и т.д. и т.п.

No, I don't use google colab. This project designed for servers and edge devices like Nvidia Jetson

Hi! Link to the sources is in description to this video

Laptop with Core i7 and GeForce 1060

It's realtime. Lines used only for vehicles counting

@@sergeynuzhny9523 Thank you It's very impressive. Do you have any technical document or paper or guide to do it in more detail? It could be very helpful to apply to aquatic farming.

@@hoangng16 In description to video I give link to the paper with this approach

Нет, но заметно точнее

Yes, go to the video description

No, only C++

You can, but I don't use it for realtime applucations

Link to the source code is in video description

Did u get it ? I also want the same 😅

@@youtubeu4005 the github code in the link has been updated and works properly if you even want to ask the github creator a question he'll answer as well

@@mohamedfadl789 oohkk... But do u have colab code .. if u can share that it would be a great help... I don't have a gpu

@@youtubeu4005 Idk about the collab code thing, I can just give you this repo:github.com/colinlaney/animal-tracking it works the way you are referring to but from a computer vision approach, not a machine learning one, there's also this link to a supposedly working software that deals with these kinds of tests (have not tested it yet because I'm working on the code of the first link to make it work on the y-maze test): github.com/healthonrails/annolid other than those two links there's a youtube channel called the ai guy that deals mostly with yolov3/4 ps: if the 2nd link works please tell me how because I'm putting it on hold for now until I finish the y-maze

I have never working with an animal tracking. I think that it need a lot of work: videos, dataset, testing. I dont know how I can help you with this project