Demo of vehicle tracking and speed estimation at the 2nd AI City Challenge Workshop in CVPR 2018 

ага александар

You can follow the guideline in our GitHub repo: github.com/zhengthomastang/2018AICity_TeamUW

@@SouvikBagchi There is no public benchmark with fixed camera view available now. However, you can experiment with autonomous driving datasets that have moving camera views.

Zheng Tang appreciate for your reply

Did you get the answer or any solution to the problem of collecting dataset?

@@talhayousuf4599 I need on-road data and not from a height, so I used an ordinary dash cam fitted on car's dashboard.

You can find our GitHub repo here: github.com/zhengthomastang/2018AICity_TeamUW. The input is the original video and the output includes the coordinates of bounding boxes at each time index. The animation can be produced online or offline, which is just for visualization purpose.

where is the tutorial ? He is very greedy, just showing video is not a great fun. May be this video belongs to someone else. I disliked this video completely. I am sorry.

@@bolzanoitaly8360 wtf bro do you want a massage too while going ?

The colors are just to indicate different vehicle identities.

@@DrTangerineAI Interesting! It is good way to separate them. We use colors of trajectories to indicate the category of the vehicle detected.

@@DrTangerineAI thank you for your reply. I looked your github repository but I don't understand clearly .Can you briefly explain it ?

If I remember correctly, we used a 1080 Ti for training at that time. There have been a lot of new versions now.

Thanks a lot for quick reply..I will try it and let you know

Here is the GitHub repo: github.com/zhengthomastang/2018AICity_TeamUW. It is an offline method. Since the code is broken down into multiple parts, it is hard for us to measure the runtime.

Sorry but we only have the C++ version available.

@@DrTangerineAI can you please send me the C++ version i didn't find it anywhere thanks !

@@bendahouwael1176 github.com/zhengthomastang/2018AICity_TeamUW

Our method is offline. We used NVIDIA GPU for object detection.

Please check the repo at github.com/zhengthomastang/2018AICity_TeamUW.

Me need this software

I already saw the note in your repository, thank you very much for the note.

Zheng Tang thanks

@@DrTangerineAI Could i possible get the the dataset from you ? many thanks

@@DrTangerineAI Thomas thank u for the answer but I have another doubt, do I need Cuda for this project? because I have an AMD GPU so no cuda for me.

@@DrTangerineAI I'm developer python , i have big problems C++ : when i run this command g++ main.cpp i find this issues : /usr/bin/ld: /tmp/ccoPmRqH.o: in function `cv::String::String(char const*)': main.cpp:(.text._ZN2cv6StringC2EPKc[_ZN2cv6StringC5EPKc]+0x4d): undefined reference to `cv::String::allocate(unsigned long)' /usr/bin/ld: /tmp/ccoPmRqH.o: in function `cv::String::~String()': main.cpp:(.text._ZN2cv6StringD2Ev[_ZN2cv6StringD5Ev]+0x14): undefined reference to `cv::String::deallocate()' /usr/bin/ld: /tmp/ccoPmRqH.o: in function `cv::Mat::~Mat()': main.cpp:(.text._ZN2cv3MatD2Ev[_ZN2cv3MatD5Ev]+0x39): undefined reference to `cv::fastFree(void*)' /usr/bin/ld: /tmp/ccoPmRqH.o: in function `cv::Mat::create(int, int, int)': main.cpp:(.text._ZN2cv3Mat6createEiii[_ZN2cv3Mat6createEiii]+0x9d): undefined reference to `cv::Mat::create(int, int const*, int)' /usr/bin/ld: /tmp/ccoPmRqH.o: in function `cv::Mat::release()': main.cpp:(.text._ZN2cv3Mat7releaseEv[_ZN2cv3Mat7releaseEv]+0x4b): undefined reference to `cv::Mat::deallocate()' /usr/bin/ld: /tmp/ccoPmRqH.o: in function `cv::Mat::operator=(cv::Mat&&)': main.cpp:(.text._ZN2cv3MataSEOS0_[_ZN2cv3MataSEOS0_]+0xe7): undefined reference to `cv::fastFree(void*)' collect2: error: ld returned 1 exit status please help me

Hello @Zheng i mean after bounding box of vehicle how can you draw directions of vehicle with colors .

@@DrTangerineAI please could you please take a look in this project , i want to draw directions of vehicle with colors like your project , github.com/JdeRobot/traffic-monitor

@@DrTangerineAI please i need your help . jut 5 min of your time

@@DrTangerineAI please check issues

Sir please see this code i tried since 2 weeks to draw directions of vehicle with colors with function cv::line , unfortunately i haven't succeed , could you please give me 5 min .

Congratulations on the medal! For camera undistortion, I simply applied cv.undistort(): docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html

@@DrTangerineAI ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-mHkz8yT_vxY.html Thanks. This video shows the concept what I have applied to my project for actually detect the vehicle speed

openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Tang_Single-Camera_and_Inter-Camera_CVPR_2018_paper.html

Our demonstrated experiments were conducted on the 2018 version of the AI City Challenge data sets. From what I learned, NVIDIA cannot release the 2018 version any more. However, the 2021 version is currently available, which is an expanded set of the 2020 version and 2019 version. They now have a much larger city-scale data set along with better annotations. Hope it will still help your research. Please email to Prof. Jenq-Neng Hwang (hwang@uw.edu) if you want to use the code for commercial purpose. For paper citation, you may ignore it if you are not publishing a conference/journal paper. For other technical questions, please add them to the Issues of our GitHub repo, so that other people can see our answers as well. Thanks.

@@DrTangerineAI Thank you for the prompt response. I understand that 2018 is no longer available but I wanted to know if all i had to do to get access to those datasets is to literally request it from them by email instead of having to participate ie datasets are only available to participants. I'll look at your code and post in the ISSUES section just like you asked if I run into anything. Thank you again for responding and for the email.

LOL

We demonstrated on a Jetson device in nearly real time (10 FPS).

@@DrTangerineAI i try to generate parametre of camera , its give me this message : ""Reprojection error is small enough. Stop generation"". please i need your help

@@DrTangerineAI thank you so much

@@DrTangerineAI please can you do a video for explain that , it does not work for me

Sorry for the late response. You have to execute the code in order, since the output of a module can be the input of another module.

@@zakariaharakat7759 This is the expected message as the objective error is small enough. The generation stops, and you can collect the output results.

These are not approximate just estimates. You could beat that in court. I think this project is to determine the flow of traffic.

You can check our GitHub repo here: github.com/zhengthomastang/2018AICity_TeamUW

We used YOLO for detection of objects in each frame. But the tracking part was implemented separately.

Sorry. Our code was developed in C++: github.com/zhengthomastang/2018AICity_TeamUW

Yes. You can find the results in our paper: openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Tang_Single-Camera_and_Inter-Camera_CVPR_2018_paper.html

Please check the repo at github.com/zhengthomastang/2018AICity_TeamUW. You may change the YOLOv3 component with YOLOv5.

@@DrTangerineAI ،i am sorry, but the code is written in c, i don't know c language, is there away that i can find one written with python

@@elbaz_afandy I may release a Python version in the future. Will keep you updated.

@@DrTangerineAI thank you very much,