just for validation, How many cars in the video?

Hi, can I also access linear velocity of the camera along the x, y, z axis? If so, which topic can I access them?

What type of dashcam did you use to record it? What type of quality do you need?

Hello friend, I want to read the size of a tire on the sidewall, which you recommend I use. excellent videos, thank you.

I'm reaching out because I'm interested in tracking the number of vehicles and pedestrians. I'm curious if you have a solution that could be applied to other sites as well. Additionally, I'm concerned about privacy and wanted to inquire if any personal data is collected, and if so, whether it can be eliminated from the process. Looking forward to hearing from you.

I'd be interested in talking to you about this for my company. Do you have a workable solution, and is it easily applied on any site?

thank you for this

Thank you very much, your explanations were clear and I could run it 🎉

Is there a way to identify vehicle make, model and color?

How can you use your own dataset to train the ESPNet model?

你好

Haar cascade object detection 14-AUG-2023 kzfaq.info/get/bejne/qMeCh6WQz9fefas.html

Greetings. Can I have such a video that runss for 24 hours or more? Thank you.

what is see in the sky in the min 6? from right to left

thank you

I am trying to mount them in bipedal robot Cassie (kzfaq.info/get/bejne/l8WJerOTvLCzZZs.html) but since the motion is too jerky, the camera is losing its tracking. Do you recommend any method that can help stabilization?

Hello, I will use the intel d435i camera lens to make a special topic. I have encountered some problems. Can I ask you for advice?

Vim pelo chat gpt ele mandou um link 😅

Has anyone tried to use this video for number plate detection? Is it available?

thanks you. Any idea about height of the cam and angle between horizantal?

So you can get OpenVSLAM working but you can't use screen-recording software?🤣

Hello Karol, thanks for this video. Is it possible to apply it to a live video? Like a camera? On a Raspberry Pi 4? Dumb question maybe. Thanks !

My friend that's so interesting. Thanks !

I am trying to run yolov5 model for vehicle Classification on jetson nano 2gb ram but it is not done . It requires the NUMBA JIT python library to install but I tried many times but it was not installed. Help me

Hi, do you know any good description of FCOS except the paper itself ? (I'm reading it now, and it's quite good)

Hi! What camera did you use to record this video?

Impressive! Excellent job. But how far are computer vision with AI from human intelligence? At time 0.38 in the video there is a mirrored car in shop's window and the program mark as a car. May in the future AI need a real 3d computer vision (with depth). How will calculate all this 3d vision in real time and how much computer power is need for 3d model learning? Maybe quantium computing is a right key.

What is the "VOC" sample?

I want to run Your Lanenet, but can't do import Lanenet.

*Top!*

What kind of 360 camera did you use?

what is the mask?

how precisely accurate computers have become, we're in a real trouble now

what about the speed?

would you please make a simple method to coding tracking with yolov3 tiny

Where are the 3D BB

Re-upload?..

the whole image is transformed into 640px X 640px??

Nice! 😃

the streetlights being detected as umrellas, airplanes and kites were funny

Are you using NMS or other method with yolo?

and this is a stateless classifier? no frame to frame memory

it's getting pretty solid. although stop sign detection is pretty loose. how many params?

You are amazing!

Hello very nice channel. I have a question... How did you make cars and people have the same color? I have read all the documentation, and it seems that modifications must be made in visualizer.py I hope you can share your experience with me. THANK YOU

Looks quite robust on vehicles, particularly for the size. How many parameters does it have? hard to find anywhere. They should always state model size. It's quite impressive for how many categories it can detect at such size and speed although it failed quite hard on a stop sign. I assume it runs on monochrome? no color data.

This is amazing! If I were to try to make an ios app that utilizes this image classification, where would I begin?

There's also a yolovn :) Also, i like the stability of traffic lights.