WebDev feel like its just tellin you to stay centered in the lane the whole time, not really to change lanes, at least thats what i get from the crosshair in the middle of the screen
u can learning machine learning and deep learning he is opencv which is computer vision library for object car and lane detection u can learn it do learn machine learning and deep learning
That might sound weird, but watching this gave me the same feeling as watching some Superhero Movie where the power is released/revealed (or Dragonball Power ups😂) Awesome examples, just beautiful! Thanks ❤
Awesome Work Man...Keep Going..... If you make some tutorials on this then it will be very useful for most of the Computer Vision enthusiast and beginners
Hey @@jamesbarker6373 !!! My interest is to know how he did the object detection. That's why I mentioned that tutorial for object detection like he did.
Very awesome update on your previous video!! Seems like you have been working hard at it, the interface looks very polished. Also appreciate your use of GH and open source, I'm sure the beggars will be working their way in blindly asking for the code. Looking forward to the next one! Cheers.
@@和平和平-c4i Althought YOLO is faster than Faster R-CNN, YOLO fails detecting smaller objects. Another reason is because YOLO is more recent than the former.
@@mauriciocortazar9604 YOLO V3 is now better at detecting objects of 3 different scales, including smaller objects due to some more downscaling layers added to it. This makes it slightly slower though. But you can't have both.
In the object detection case, processing one frame takes ~6 secs on CPU and ~0.8 on GPU,. The lane detection is fairly fast in terms of processing time. I don't know about the motion tracking though. Probably what he did is record the video and then post-process it...
@@sebastianliendo6579 would mind check this code?? I am having a problem it consumes so much memory around 2gb and above i don't know why, private void timer1_Tick(object sender, EventArgs e) { using (Image nextFrame = captureIP.QueryFrame().ToImage < Bgr,byte>()) { if (nextFrame != null) { // There is only one channel (gray scale), hence the zero index // var faces = nextFrame.DetectHaarCascade(haar)[0]; Image grayframe = nextFrame.Convert(); var faces = haar.DetectMultiScale(grayframe, 1.3, 4, /*new Size(nextFrame.Width / 8, nextFrame.Height / 8)*/new Size(420,300)); foreach (var face in faces) { nextFrame.Draw(face, new Bgr(0, double.MaxValue, 0), 3); } pictureBox1.Image = nextFrame.ToBitmap(); } } } private void Form1_Load(object sender, EventArgs e) { string facePath = Path.GetFullPath(@"../../data/haarcascade_frontalface_default.xml"); haar = new CascadeClassifier(facePath); captureIP = new VideoCapture("rtsp ip cam link"); }
correct me if im wrong; Using hough transform to detect the lines; using tensorflow api for object detection; and then what? please advice me on how to implement the steering advice method. all i can break from the video is : you are using the 2 lines to get the mid point between the 2 lines. and how does that work?
Dear sir, How fusion of opencv and tensorflow works in real time with a webcam. Can you tell me the process? I am not asking for code but I wanna know how fusion works. or you have used the tensorflow output as the input for opencv for fusion. Kindly reply and guide.
Oh? If that's the case it's a simple case of acquiring your data through openCV and using that as training data for your tensor flow model. Think of openCV as a glorified camera that takes snaps For example, the lane detection done is done using Lucas-Kanade method(irrelevant) and the cars are detected using tensorflow.
is there any way that you can run this through a mobile phone? I mean using your mobile phone's processing power. its a bit sci-fi but I want to make a helmet with an fpv screen. having camera's outside. day camera, night camera, infrared/thermal camera. oriented front, rear and sides. not showing all camera's at once. but you can switch between them wherever you want.
Inform lanes of each other and admit a maximum curvature, a minimum distance between lane separation lines and inform lane detection of likely lane shape, width and curvature from a GPS and a map. Many things you can do. Stuff gets messy when you have sun glints, reflections, wet asphalt, differing colors of concrete (bridge, roads repaired) or other lines such as tire marks. Honestly, pure OpenCV for this is not enough. You'd need a neural network too.
Hi I am working on OD project using Tensorflow OD api but getting an inference time of 0.22 second for single frame can you tell me how did you detect with this speed you are showing remainder I am on CPU
Hi there! I work for Catch&Release, a tech company that finds and licenses online content for use in ad campaigns. We're working on a new ad and we'd love to use a clip from this video! Please email me at jordan@catchandrelease.com for details, including payment. Thanks!
I want to know what Fusion With Steering Advise feature has been smoking
- Approaching truck on left Lane
- "Turn left"
WebDev feel like its just tellin you to stay centered in the lane the whole time, not really to change lanes, at least thats what i get from the crosshair in the middle of the screen
@@lrdyeah To be fair I didn't notice that thing in there lol
0:37 see the reflection on hood...
Where's the issue?
@@amp08021 motion tracking in reflection on hood!!
Weird! ig!
@@imkronos_me I don't think this should cause any problems though
@@amp08021 i think the video is edited!
Of course... the algorithm can detect the reflections, but if that would be real, it looks different... Logic
I really wanted to see him change lanes
Could you tell me how much delay you have? That's from the time you begin to take the picture to the time the program identifies all the objects?
Is there any way to build a dashcam out of this?...I have been looking for a solution the whole day long and all I got is a major headache
คนไทยสุดยอดครับ เป็นไปได้ ขอศึกษาด้วยครับพอดีกำลังศึกษาเรื่องนี้อยู่ :)
It would have been nice if the the video was not sped up. What is the actual framerate you are getting at full resolution?
1-2 fps :P
Can I find documentation somewhere? I would like to lern this myself, and this is the best solution I could find so far.
u can learning machine learning and deep learning he is opencv which is computer vision library for object car and lane detection u can learn it do learn machine learning and deep learning
Goodjob mate! Btw, can you tell me which processor or pc that you used for processing thing? Thank you)
I'm getting the idea that I need to build this into my windshield.
That might sound weird, but watching this gave me the same feeling as watching some Superhero Movie where the power is released/revealed (or Dragonball Power ups😂)
Awesome examples, just beautiful! Thanks ❤
I already do that with my brain that’s why I’m Subaru’s finest rally driver
Niubility awesome
😒oh..god
Awesome Work Man...Keep Going.....
If you make some tutorials on this then it will be very useful for most of the Computer Vision enthusiast and beginners
Open CV is open source. This guy didn't create it.
Hey @@jamesbarker6373 !!!
My interest is to know how he did the object detection.
That's why I mentioned that tutorial for object detection like he did.
@@rajharry1378 Google OpenCV. They have tutorials there.
@@rajharry1378 docs.opencv.org/3.4/d7/d8b/tutorial_py_lucas_kanade.html
@@@jamesbarker6373
Thanks....
How do you get it to do something like turn on a servo or turn on a light if it detects something like a car?
But why driving in the second lane when not passing?
Congratulations for your works
Very awesome update on your previous video!! Seems like you have been working hard at it, the interface looks very polished. Also appreciate your use of GH and open source, I'm sure the beggars will be working their way in blindly asking for the code. Looking forward to the next one! Cheers.
Oh wow. That's a lot of pride with as if you just made it to the moon.
does it work on rain?
I guest , it is depending on the training data set
For the objective detection, either YOLO algorithm or Faster region proposal CNN algorithm can handle that well
Indeed. Tensorflow use Faster R-CNN, see the github repo
@@mauriciocortazar9604 Why not YOLO instead ? Is there any advantage to use Faster RCNN that I dont know ?
@@和平和平-c4i Althought YOLO is faster than Faster R-CNN, YOLO fails detecting smaller objects. Another reason is because YOLO is more recent than the former.
@@mauriciocortazar9604 YOLO V3 is now better at detecting objects of 3 different scales, including smaller objects due to some more downscaling layers added to it. This makes it slightly slower though. But you can't have both.
is this the real speed of the video when detecting some lane? or anything that you present in this video??
In the object detection case, processing one frame takes ~6 secs on CPU and ~0.8 on GPU,. The lane detection is fairly fast in terms of processing time. I don't know about the motion tracking though. Probably what he did is record the video and then post-process it...
@@sebastianliendo6579 would mind check this code?? I am having a problem it consumes so much memory around 2gb and above i don't know why,
private void timer1_Tick(object sender, EventArgs e)
{
using (Image nextFrame = captureIP.QueryFrame().ToImage < Bgr,byte>())
{
if (nextFrame != null)
{
// There is only one channel (gray scale), hence the zero index
// var faces = nextFrame.DetectHaarCascade(haar)[0];
Image grayframe = nextFrame.Convert();
var faces = haar.DetectMultiScale(grayframe, 1.3, 4, /*new Size(nextFrame.Width / 8, nextFrame.Height / 8)*/new Size(420,300));
foreach (var face in faces)
{
nextFrame.Draw(face, new Bgr(0, double.MaxValue, 0), 3);
}
pictureBox1.Image = nextFrame.ToBitmap();
}
}
}
private void Form1_Load(object sender, EventArgs e)
{
string facePath = Path.GetFullPath(@"../../data/haarcascade_frontalface_default.xml");
haar = new CascadeClassifier(facePath);
captureIP = new VideoCapture("rtsp ip cam link");
}
Can we have the full Surce Code
correct me if im wrong;
Using hough transform to detect the lines;
using tensorflow api for object detection;
and then what?
please advice me on how to implement the steering advice method.
all i can break from the video is : you are using the 2 lines to get the mid point between the 2 lines. and how does that work?
ruclips.net/video/821ZnewFLcY/видео.html
Watch this and view description for codes, I hope you will get clear understanding about this concept.
This is so cool! Well done! :D
That, sir... Was amazing!
Let's see what it does in construction zones where the old lane markers veer hard right into a barricade.
It would rely on object detection to know that action would be stupid.
It seems that some of the predictions are dangerously wrong...
So cool.
Can you please help me to get the source code for learn it.
Fusion with steering advise is in track motion?
Dear sir, How fusion of opencv and tensorflow works in real time with a webcam. Can you tell me the process? I am not asking for code but I wanna know how fusion works. or you have used the tensorflow output as the input for opencv for fusion. Kindly reply and guide.
Mayank Raj fusion?
He probably means: how to use a TensorFlow model in OpenCV.
Oh? If that's the case it's a simple case of acquiring your data through openCV and using that as training data for your tensor flow model. Think of openCV as a glorified camera that takes snaps
For example, the lane detection done is done using Lucas-Kanade method(irrelevant) and the cars are detected using tensorflow.
@Ivar van Wooning This is guider video ruclips.net/video/mm8GWRRn9L0/видео.html
I wander what the motion tracking is used for and how you accomplished it. That's about my research, please tell me. Thx
Google motion tracking. As simple as that
So people see turn left and assume it means 90 degrees? It could mean turn left .01 degrees.
Please send the code of lane detection
its soo cool bro! Hat's off!!!
Can u suggest the object detection course
Did you use exactly the code from the example?
how do you use the code? maybe you can make a tutorial
is there any way that you can run this through a mobile phone? I mean using your mobile phone's processing power. its a bit sci-fi but I want to make a helmet with an fpv screen. having camera's outside. day camera, night camera, infrared/thermal camera. oriented front, rear and sides. not showing all camera's at once. but you can switch between them wherever you want.
it doesn't need to identify every single thing. doesn't have to recognize the road. just vehicles and pedestrian.
Check this course for an in-depth explanation of OpenCV from beginner to advanced: ruclips.net/video/gLDJEY49M38/видео.html
Is there any other method except averaging out left and right lane separately ?
Inform lanes of each other and admit a maximum curvature, a minimum distance between lane separation lines and inform lane detection of likely lane shape, width and curvature from a GPS and a map. Many things you can do. Stuff gets messy when you have sun glints, reflections, wet asphalt, differing colors of concrete (bridge, roads repaired) or other lines such as tire marks. Honestly, pure OpenCV for this is not enough. You'd need a neural network too.
ผลงานเยี่ยมมากครับ ขอชื่นชม แต่ถ้ามาชนบท เส้นขาวตีมั่วไปหมด 555 เดาว่าคง error marking
This is simply WOW
Hi I am working on OD project using Tensorflow OD api but getting an inference time of 0.22 second for single frame can you tell me how did you detect with this speed you are showing remainder I am on CPU
if you are using a cpu instead of a gpu then that's the reason.
Sir I need tagged vehicle type dataset can you share a source?
How can I find same input video?
Please Can you make complete tutorial on this how to make it
And explanations
can you make tutorial how you achieved these huge achievemenst ?
Google Open CV
how to do this in google colab,I want to use colab to do just like this
This is definitely not in real time and rendered in after the footage was recorded... Still not bad but nowhere near "Tesla level".
Tesla is still not bad but nowhere near space shuttle level.
why not? you only need extra capacity for video coder
สวัสดีค่า เห็น Test ถนนในไทย อยากจะขอคำแนะนำหน่อยได้ไหมคะ ^^
You guys need to add a time decayed persistence of objects in your process
how in the world did you got verified with 28 subcribers
@@Bl4ck309 Go get a life. Damned if I know!
yea but how long to prcoess that video.....
What is your set up?
Are you able to measure distances too?
sir where from we learn about it
Whats the music ?
The direction was wrong
Source code please
I think this features are not in Tesla car
Nice work
Kindly share a video with live coding please
How it's work?
are that project need database
What is motion tracking?
It tracks objects movements.
fps ?
I want the tutorial..anyone can help me?
can you share me your code? this is it's a good project
I don't think it's accurate enough. Your lane tracking method still needs to be optimized.
Where I can find tutorial about tensorflow and opencv together?
That really depends on what you want to do with it, any more specific details?
hey thanks , i want to analyse video data with tensorflow
@@mrlive221 then what do you need opencv for?
@@LeahLundqvist ,i want to use tensorflow with webcame like for gesture recognition
@@LeahLundqvist , do you know howto use both ?
Posted on 1 april, coincidence?
❤️
can you share your code?
source code?
Awesome
it's cool ,bro
i need good course to make a good project like that
car's ap is too low
code source ? svp
Hello it was amazing could you help me to make this project
Cool, change lanes, thas really cool, lol
Aimbot activated
i did similar thing on Carla simulator
เจ๋งมากคับ
Great ❤️
ติดตามครับ อยากได้ความรู้เพิ่มเติม
Ya, do that on a foggy day...
Great.., can u share source code
But it's really really easy. Why do you want the code?
did u got the output?
@@priyanandamuri226 yeah
can u give me ur contact number?if u dont mind...because iam doing this as my final yearB.Tech project..i want some help :) plz rply me fast
@@allmightqs1679 no.
с вертолета с машины обнаружили устройствам передали и т.д. это мы не умеем.
code
turn right :))))))))
Like technology opencv
predict something moving on freeway only 50-60% chance to be a car? How stupid is the algorithm
@Kevvy Kim idk, Tesla's system is accurately able to track many objects very well. So it certainly is possible...
1:19 bruh
Too sentimental..
ช่องของคนไทยป่าวครับเห็นชื่อเหมือนคนไทยเลย
Judgment day is coming soon guys lolz
чушь какая-то.
Just Google Comma.ai
Hi there! I work for Catch&Release, a tech company that finds and licenses online content for use in ad campaigns. We're working on a new ad and we'd love to use a clip from this video! Please email me at jordan@catchandrelease.com for details, including payment. Thanks!
Python
thaiii
*--*